<html><head></head><body><div class="ydpa5d975fbyahoo-style-wrap" style="font-family:Helvetica Neue, Helvetica, Arial, sans-serif;font-size:13px;"><div></div>
<div dir="ltr" data-setdir="false"><span><span style="font-family: sans-serif; font-size: 16px;"><font color="#440062" style="background-color: inherit;">So the question in my mind is whether this research, to the extent discussed, is valid</font></span></span><br></div><div dir="ltr" data-setdir="false"><span><span style="font-family: sans-serif; font-size: 16px;"><br></span></span></div><div dir="ltr" data-setdir="false"><span><span style="font-family: sans-serif; font-size: 16px;">Yes, that is the question. And this question awaits someone else trying to confirm the results. But with both the programming and the training methods cloaked in "black box" secrecy, there are important considerations which no one will ever be allowed to investigate. Anyway, that's the way this sort of research is usually handled. </span></span></div><div dir="ltr" data-setdir="false"><span><span style="font-family: sans-serif; font-size: 16px;"><br></span></span></div><div dir="ltr" data-setdir="false"><span style="background-color: inherit; font-family: sans-serif; font-size: 16px;">-- Bob Primak </span><br></div><div dir="ltr" data-setdir="false"><span><span style="font-family: sans-serif; font-size: 16px;"><font color="#440062" style="background-color: inherit;"><br></font></span></span></div><div><br></div>
</div><div id="yahoo_quoted_5545012712" class="yahoo_quoted">
<div style="font-family:'Helvetica Neue', Helvetica, Arial, sans-serif;font-size:13px;color:#26282a;">
<div>
On Tuesday, August 27, 2024 at 06:42:40 PM EDT, John P. Rudy <jjrudy1@comcast.net> wrote:
</div>
<div><br></div>
<div><br></div>
<div><div id="yiv9298434579"><style><!--
#yiv9298434579 filtered {}
#yiv9298434579 filtered {}
#yiv9298434579 filtered {}
#yiv9298434579 filtered {}
#yiv9298434579 filtered {}
#yiv9298434579 p.yiv9298434579MsoNormal, #yiv9298434579 li.yiv9298434579MsoNormal, #yiv9298434579 div.yiv9298434579MsoNormal
{margin:0in;font-size:12.0pt;font-family:"Aptos", sans-serif;}
#yiv9298434579 a:link, #yiv9298434579 span.yiv9298434579MsoHyperlink
{color:blue;text-decoration:underline;}
#yiv9298434579 p.yiv9298434579msonormal, #yiv9298434579 li.yiv9298434579msonormal, #yiv9298434579 div.yiv9298434579msonormal
{margin-right:0in;margin-left:0in;font-size:12.0pt;font-family:"Aptos", sans-serif;}
#yiv9298434579 span.yiv9298434579EmailStyle29
{font-family:"Arial", sans-serif;font-variant:normal !important;color:windowtext;text-transform:none;text-decoration:none none;vertical-align:baseline;}
#yiv9298434579 .yiv9298434579MsoChpDefault
{font-size:10.0pt;}
#yiv9298434579 filtered {}
#yiv9298434579 div.yiv9298434579WordSection1
{}
--></style><div><div class="yiv9298434579WordSection1"><p class="yiv9298434579MsoNormal"><span style="font-family:sans-serif;">But if there is a specific disabled person and something directly related to that person works to 50% that would be fantastic. So the question in my mind is whether this research, to the extent discussed, is valid</span></p><p class="yiv9298434579MsoNormal"><span style="font-family:sans-serif;"> </span></p><div id="yiv9298434579yqt98375" class="yiv9298434579yqt9862093187"><div><div style="border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in 0in;"><p class="yiv9298434579MsoNormal"><b><span style="font-size:11.0pt;font-family:sans-serif;">From:</span></b><span style="font-size:11.0pt;font-family:sans-serif;"> Robert Primak <bobprimak@yahoo.com> <br clear="none"><b>Sent:</b> Tuesday, August 27, 2024 6:29 PM<br clear="none"><b>To:</b> 'Harry Forsdick' <harry@forsdick.com>; John P. Rudy <jjrudy1@comcast.net><br clear="none"><b>Cc:</b> lctg@lists.toku.us<br clear="none"><b>Subject:</b> Re: [Lex Computer & Tech Group/LCTG] Prompt Engineering</span></p></div></div><p class="yiv9298434579MsoNormal"> </p><div><div><p class="yiv9298434579MsoNormal"><span style="font-family:sans-serif;color:#440062;">to the extent that the activity of the brain can be “read”</span><span style="font-size:10.0pt;font-family:serif;"></span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;"> </span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-family:serif;">Therein lies the problem with the scans which the research in the video used. These scans are not detailed enough to reveal specific thoughts. Probes are being developed which have much finer resolutions, so maybe there are signals specific enough to get realistic results. But the research being reported in the video makes claims beyond the scope of what could possibly have been measured. This leaves me very skeptical.</span><span style="font-size:10.0pt;font-family:serif;"></span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;"> </span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-family:sans-serif;color:#440062;">Let’s see what comes out of research labs that is reproducible</span><span style="font-size:10.0pt;font-family:serif;"></span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;"> </span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-family:sans-serif;">Yes, let's do that. The research reported in the video is said by the researchers to require extensive training on specific individuals, and is only reproducible for those individuals, with a success rate of not better than 65% (per Blumenstein-- Tang hedges on his success rates)<span style="color:#440062;">. </span>That to me is not very impressive for general use applications. </span><span style="font-size:10.0pt;font-family:serif;"></span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;"> </span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-family:sans-serif;">-- Bob Primak</span><span style="font-size:10.0pt;font-family:serif;"></span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;"> </span></p></div></div><div id="yiv9298434579yahoo_quoted_5059929162"><div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;color:#26282A;">On Tuesday, August 27, 2024 at 11:44:25 AM EDT, John P. Rudy <<a shape="rect" ymailto="mailto:jjrudy1@comcast.net" href="mailto:jjrudy1@comcast.net" target="_blank" rel="noreferrer noopener">jjrudy1@comcast.net</a>> wrote: </span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;color:#26282A;"> </span></p></div><div><p class="yiv9298434579MsoNormal"><span style="font-size:10.0pt;font-family:serif;color:#26282A;"> </span></p></div><div><div id="yiv9298434579"><div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:#26282A;">Regardless of where the field is today, it seems logical that to the extent that the activity of the brain can be “read” that eventually it will be understood. Presumably this will occur slowly but eventually happen. Who would have believed that “thoughts” can cause an artificial limb to move?</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:#26282A;">Whether AI can somehow aid in the understanding of a large amount of brain data is beyond my understanding, but I’d opt for information from trusted sources, not, say, facebook Let’s see what comes out of research labs that is reproducible</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:#26282A;">John</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p><div style="border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in 0in;"><div id="yiv9298434579yqtfd36548"><p class="yiv9298434579msonormal"><b><span style="font-size:11.0pt;font-family:sans-serif;color:#26282A;">From:</span></b><span style="font-size:11.0pt;font-family:sans-serif;color:#26282A;"> LCTG <<a shape="rect" ymailto="mailto:lctg-bounces+jjrudy1=comcast.net@lists.toku.us" href="mailto:lctg-bounces+jjrudy1=comcast.net@lists.toku.us" target="_blank" rel="noreferrer noopener">lctg-bounces+jjrudy1=comcast.net@lists.toku.us</a>> <b>On Behalf Of </b>Harry Forsdick via LCTG<br clear="none"><b>Sent:</b> Tuesday, August 27, 2024 9:40 AM<br clear="none"><b>To:</b> Robert Primak <<a shape="rect" ymailto="mailto:bobprimak@yahoo.com" href="mailto:bobprimak@yahoo.com" target="_blank" rel="noreferrer noopener">bobprimak@yahoo.com</a>><br clear="none"><b>Cc:</b> <a shape="rect" ymailto="mailto:lctg@lists.toku.us" href="mailto:lctg@lists.toku.us" target="_blank" rel="noreferrer noopener">lctg@lists.toku.us</a><br clear="none"><b>Subject:</b> Re: [Lex Computer & Tech Group/LCTG] Prompt Engineering</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div></div><div id="yiv9298434579yqtfd70470"><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:serif;color:#26282A;"> </span></p><div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">Bob,</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">You are right: I agree with your concern with equating Large Language Models (LLMs) with Artificial Intelligence (AI). Doing so succumbs to the hype of Wall Street.</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">Unfortunately to the uninformed, introducing this TLA into the conversation makes the impressive results of LLMs even more mysterious and just for techies.</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">-- Harry</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div></div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:serif;color:#26282A;"> </span></p><div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:serif;color:#26282A;">On Mon, Aug 26, 2024 at 1:58</span><span style="font-size:10.0pt;font-family:sans-serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;">PM Robert Primak <<a shape="rect" ymailto="mailto:bobprimak@yahoo.com" href="mailto:bobprimak@yahoo.com" target="_blank" rel="noreferrer noopener">bobprimak@yahoo.com</a>> wrote:</span></p></div><blockquote style="border:none;border-left:solid #CCCCCC 1.0pt;padding:0in 0in 0in 6.0pt;margin-left:4.8pt;margin-top:5.0pt;margin-right:0in;margin-bottom:5.0pt;"><div><div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;">Very good finds, Harry.</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;">Within the context of reading people's thoughts, a lot of what prompt engineering can and cannot do depends on the size of the data set it is trained on, and the variety of test subjects from whom the training data is collected. Too small a sample size in either regard, and there is a real chance of researcher bias (conscious or unconscious) entering into the picture and affecting the output from the LLM.</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;">I do not equate LLMs with AI, so I restrict my terms to what we are talking about -- LLMS only, not more general AI. </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;">-- Bob Primak </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div></div><div id="yiv9298434579m_-5547233619257840405yahoo_quoted_4749393284"><div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;">On Monday, August 26, 2024 at 11:35:42 AM EDT, Harry Forsdick via LCTG <<a shape="rect" ymailto="mailto:lctg@lists.toku.us" href="mailto:lctg@lists.toku.us" target="_blank" rel="noreferrer noopener">lctg@lists.toku.us</a>> wrote: </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><div id="yiv9298434579m_-5547233619257840405yiv9973594549"><div><div><div><p class="yiv9298434579msonormal"><span style="font-size:13.5pt;font-family:sans-serif;color:#0B5394;">Folks,</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">Remember when </span><span style="font-size:14.0pt;font-family:sans-serif;color:#0B5394;">Conor O'Mahony</span><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> gave his three excellent talks about AI / ML systems? [see <a shape="rect" href="https://docs.google.com/document/d/1fj8FcfD_e-NEi20O3AL_8fg45DdB136fvyCNl7V2gaM/edit?usp=sharing" target="_blank" rel="noreferrer noopener">https://docs.google.com/document/d/1fj8FcfD_e-NEi20O3AL_8fg45DdB136fvyCNl7V2gaM/edit?usp=sharing</a>] </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">One of the topics he talked about was "prompt engineering".</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">I interpreted what was said about prompt engineering to refer to the kinds of things we all did with plain old Google to get it to return the kind of results we were after. </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">I recently asked <a shape="rect" href="https://perplexity.ai" target="_blank" rel="noreferrer noopener">https://perplexity.ai </a>the question "<b>What does "prompt engineering" mean in the context of AI search systems?</b>". I learned that my interpretation was only partially correct. Instead of being just things an end-user does, prompt engineering is also something that a developer of an AI question/answering system must do to take the query submitted by end-users, and add additional controls to get the AI answer engine to return a reasonable, readable answer.</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">One of the references in this response, <a shape="rect" href="https://mitsloanedtech.mit.edu/ai/basics/effective-prompts/" target="_blank" rel="noreferrer noopener">https://mitsloanedtech.mit.edu/ai/basics/effective-prompts/</a>, discusses what an end user should learn to do. It basically says that this is like learning how to ask questions of an expert who knows a lot about the subject of your query: you can steer the answer to the one you are after if you just ask the question correctly. To quote from the above reference:</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div></div><blockquote style="margin-left:30.0pt;margin-top:5.0pt;margin-right:0in;margin-bottom:5.0pt;"><div><div><p class="yiv9298434579msonormal"><span style="font-size:13.0pt;font-family:sans-serif;color:black;">Prompts are your input into the AI system to obtain specific results. In other words, prompts are conversation starters: what and how you tell something to the AI for it to respond in a way that generates useful responses for you. After that, you can build a continuing prompt, and the AI will produce another response accordingly. It’s like having a conversation with another person, only in this case the conversation is text-based, and your interlocutor is AI.</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div></div></blockquote><div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">Below is the answer I got back from Perplexity. If you want to dig deeper than the Perplexity answer, there are references to source material used in the response.</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">Regards,</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">-- Harry</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><b><span style="font-size:13.5pt;font-family:sans-serif;color:#0B5394;">What does "prompt engineering" mean in the context of AI search systems?</span></b><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">Prompt engineering is a crucial process in the context of AI search systems, particularly for large language models (LLMs) and generative AI tools. It involves crafting well-structured and effective input queries or instructions to guide AI models in producing desired outputs or responses[1].</span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div><div><p class="yiv9298434579msonormal"><span style="font-size:13.5pt;font-family:sans-serif;color:#0B5394;"><br clear="none"><b>Definition and Purpose</b><br clear="none">Prompt engineering refers to the art and science of designing and optimizing prompts to elicit specific behaviors from AI models[4]. Its primary goal is to bridge the gap between human intention and machine understanding, enabling AI systems to generate accurate, relevant, and contextually appropriate responses[2].<br clear="none"><br clear="none"><b>Components of Effective Prompts</b><br clear="none"><br clear="none">1. <b>Instruction</b>: Prompts often require specific and clear requests to receive the desired output[3].<br clear="none"><br clear="none">2. <b>Context</b>: Providing relevant background information helps the AI model understand the task better[3].<br clear="none"><br clear="none">3. <b>Input Data</b>: This includes any necessary information for the AI to process and generate a response[3].<br clear="none"><br clear="none">4. <b>Output Format</b>: Specifying the desired format of the response can improve the accuracy and relevance of the AI's output[3].<br clear="none"><br clear="none"><b>Role of Prompt Engineers</b><br clear="none">AI prompt engineers serve as intermediaries between machine learning models and human users[3]. Their responsibilities include:<br clear="none"><br clear="none">1. Developing sets of inputs to train models for optimal outputs<br clear="none">2. Writing text-based prompts for various tasks (e.g., essay writing, blog post generation)<br clear="none">3. Evaluating AI systems for idiosyncrasies<br clear="none">4. Training and fine-tuning emerging AI tools<br clear="none"><br clear="none"></span><b><span style="font-size:18.0pt;font-family:sans-serif;color:#0B5394;">What does "prompt engineering" mean in the context of AI search systems?</span></b><span style="font-size:13.5pt;font-family:sans-serif;color:#0B5394;"><br clear="none">Prompt engineering plays a vital role in AI search systems by:<br clear="none"><br clear="none">1. <b>Improving Accuracy</b>: Well-crafted prompts lead to more precise and relevant responses from AI models[4].<br clear="none">2. <b>Enhancing User Experience</b>: Clear and concise prompts make it easier for users to interact effectively with AI models[4].<br clear="none">3. <b>Mitigating Biases</b>: Careful prompt design helps minimize the risk of generating inappropriate or biased content[4].<br clear="none">4. <b>Ensuring Consistency</b>: Proper prompting techniques enable more predictable and reliable AI responses[4].<br clear="none"><br clear="none"><b>Skills Required for Prompt Engineering</b><br clear="none">To excel in prompt engineering, professionals should possess:<br clear="none"><br clear="none">1. Understanding of AI, ML, and Natural Language Processing (NLP)<br clear="none">2. Programming skills, particularly in Python<br clear="none">3. Strong communication skills<br clear="none">4. Knowledge of cognitive psychology and linguistics<br clear="none">5. Experience with pre-trained AI models like GPT-3 or GPT-4[3]<br clear="none"><br clear="none">In conclusion, prompt engineering is a critical aspect of AI search systems, focusing on optimizing the interaction between humans and AI models to produce high-quality, relevant, and accurate responses.<br clear="none"><br clear="none">Citations:<br clear="none">[1] <a shape="rect" href="https://en.wikipedia.org/wiki/Prompt_engineering" target="_blank" rel="noreferrer noopener">https://en.wikipedia.org/wiki/Prompt_engineering</a><br clear="none">[2] <a shape="rect" href="https://www.datastax.com/guides/what-is-prompt-engineering" target="_blank" rel="noreferrer noopener">https://www.datastax.com/guides/what-is-prompt-engineering</a><br clear="none">[3] <a shape="rect" href="https://www.techtarget.com/searchenterpriseai/definition/AI-prompt-engineer" target="_blank" rel="noreferrer noopener">https://www.techtarget.com/searchenterpriseai/definition/AI-prompt-engineer</a><br clear="none">[4] <a shape="rect" href="https://cloud.google.com/discover/what-is-prompt-engineering" target="_blank" rel="noreferrer noopener">https://cloud.google.com/discover/what-is-prompt-engineering</a><br clear="none">[5] <a shape="rect" href="https://www.ibm.com/topics/prompt-engineering" target="_blank" rel="noreferrer noopener">https://www.ibm.com/topics/prompt-engineering</a><br clear="none">[6] <a shape="rect" href="https://www.akooda.co/blog/what-is-prompt-engineering" target="_blank" rel="noreferrer noopener">https://www.akooda.co/blog/what-is-prompt-engineering</a><br clear="none">[7] <a shape="rect" href="https://researchguides.mvc.edu/ai/prompts" target="_blank" rel="noreferrer noopener">https://researchguides.mvc.edu/ai/prompts</a><br clear="none">[8] <a shape="rect" href="https://mitsloanedtech.mit.edu/ai/basics/effective-prompts/" target="_blank" rel="noreferrer noopener">https://mitsloanedtech.mit.edu/ai/basics/effective-prompts/</a></span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p style="margin-bottom:12.0pt;" class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p><table border="0" cellspacing="5" cellpadding="0" style="background:#EEEEEE;" class="yiv9298434579MsoNormalTable"><tbody><tr><td colspan="1" rowspan="1" valign="top" width="306" style="width:229.5pt;padding:1.9pt 1.9pt 1.9pt 1.9pt;"><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:black;"><a shape="rect" href="http://www.forsdick.com/resume/" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">Harry Forsdick</span></a><br clear="none"><a shape="rect" href="http://lexingtonphotoscan.com/" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">Lexington Photo Scanning</span></a><br clear="none"><a shape="rect" href="http://lexingtontmma.org/" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">Town Meeting Member Precinct 7</span></a><br clear="none"><a shape="rect" href="https://mail.google.com/mail/?view=cm&fs=1&tf=1&to=harry@forsdick.com" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">harry@forsdick.com</span></a><br clear="none"><a shape="rect" href="http://www.forsdick.com/" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">www.forsdick.com</span></a></span></p></td><td colspan="1" rowspan="1" width="15" style="width:11.25pt;padding:1.9pt 1.9pt 1.9pt 1.9pt;"><p class="yiv9298434579msonormal"><span style="font-size:14.5pt;font-family:sans-serif;color:black;"> </span></p></td><td colspan="1" rowspan="1" valign="top" width="179" style="width:134.25pt;padding:1.9pt 1.9pt 1.9pt 1.9pt;"><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:black;"><a shape="rect" href="https://goo.gl/xZXT2F" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">46 Burlington St.<br clear="none">Lexington, MA 02420</span></a><br clear="none"><a shape="rect" href="callto:17817996002" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">(781) 799-6002 (mobile)</span></a><br clear="none"><br clear="none"><a shape="rect" href="http://forsdick.weebly.com/home/my-websites" target="_blank" rel="noreferrer noopener"><span style="color:#1155CC;">Click</span></a> to see my websites</span></p></td></tr></tbody></table><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;"> </span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p><table border="1" cellspacing="5" cellpadding="0" width="552" style="width:5.75in;background:#EEEEEE;border:solid black 1.0pt;" class="yiv9298434579MsoNormalTable"><tbody><tr><td colspan="1" rowspan="1" valign="top" width="532" style="width:399.0pt;border:solid black 1.0pt;padding:1.9pt 1.9pt 1.9pt 1.9pt;"><p align="center" style="text-align:center;" class="yiv9298434579msonormal"><strong><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;">Lafayette Returns</span></strong><span style="font-size:14.5pt;font-family:sans-serif;color:black;"><br clear="none"></span><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;">200th Anniversary Reenactment</span><span style="font-size:14.5pt;font-family:sans-serif;color:black;"><br clear="none"></span><b><span style="font-size:13.5pt;font-family:sans-serif;color:red;">----></span></b><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;"> September 2, 2024 (Labor Day) 1pm-2pm </span></p><p align="center" style="text-align:center;" class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;">Lexington Battle Green</span></p></td></tr><tr><td colspan="1" rowspan="1" valign="top" width="532" style="width:399.0pt;border:solid black 1.0pt;padding:1.9pt 1.9pt 1.9pt 1.9pt;"><p align="center" style="text-align:center;" class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:black;"><img id="yiv9298434579_x0000_i1025" border="0" width="255" height="258" style="width:2.651in;min-height:2.6875in;" src="https://forsdick.com/0MyImages/LafayetteReturns.png"></span></p><p align="center" style="text-align:center;" class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;"><br clear="none">Procession, Lafayette Reenactor, Minute Men, School Children, Bell Ringing,</span></p><p align="center" style="text-align:center;" class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;">Period Costumes, </span><span style="font-size:10.0pt;font-family:UI sans-serif;color:#1155CC;">🔥</span><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;"> Cannon Fire </span><span style="font-size:10.0pt;font-family:UI sans-serif;color:#1155CC;">🔥</span><span style="font-size:10.0pt;font-family:sans-serif;color:#1155CC;">, and ... cookies shaped like Lafayette</span></p></td></tr></tbody></table></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p class="yiv9298434579msonormal"><span style="font-size:10.0pt;font-family:New serif;color:#26282A;">===============================================<br clear="none">::The Lexington Computer and Technology Group Mailing List::<br clear="none">Reply goes to sender only; Reply All to send to list.<br clear="none">Send to the list: <a shape="rect" ymailto="mailto:LCTG@lists.toku.us" href="mailto:LCTG@lists.toku.us" target="_blank" rel="noreferrer noopener">LCTG@lists.toku.us</a> Message archives: <a shape="rect" href="http://lists.toku.us/pipermail/lctg-toku.us/" target="_blank" rel="noreferrer noopener">http://lists.toku.us/pipermail/lctg-toku.us/</a><br clear="none">To subscribe: email <a shape="rect" ymailto="mailto:lctg-subscribe@toku.us" href="mailto:lctg-subscribe@toku.us" target="_blank" rel="noreferrer noopener">lctg-subscribe@toku.us</a> To unsubscribe: email <a shape="rect" ymailto="mailto:lctg-unsubscribe@toku.us" href="mailto:lctg-unsubscribe@toku.us" target="_blank" rel="noreferrer noopener">lctg-unsubscribe@toku.us</a><br clear="none">Future and Past meeting information: <a shape="rect" href="http://LCTG.toku.us" target="_blank" rel="noreferrer noopener">http://LCTG.toku.us</a><br clear="none">List information: <a shape="rect" href="http://lists.toku.us/listinfo.cgi/lctg-toku.us" target="_blank" rel="noreferrer noopener">http://lists.toku.us/listinfo.cgi/lctg-toku.us</a><br clear="none">This message was sent to <a shape="rect" ymailto="mailto:bobprimak@yahoo.com." href="mailto:bobprimak@yahoo.com." target="_blank" rel="noreferrer noopener">bobprimak@yahoo.com.</a><br clear="none">Set your list options: <a shape="rect" href="http://lists.toku.us/options.cgi/lctg-toku.us/bobprimak@yahoo.com" target="_blank" rel="noreferrer noopener">http://lists.toku.us/options.cgi/lctg-toku.us/bobprimak@yahoo.com</a></span><span style="font-size:10.0pt;font-family:serif;color:#26282A;"></span></p></div></div></div></div></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div>
</div>
</div></body></html>