I’m looking to harness the collective smarts of our Data Alchemy community. Who is interested in taking on the challenge of evolving a Large Language Model to process queries with the insight and depth of an expert? ## The problem with current LLMs The more you integrate LLMs in your workflows, the clearer their shortcomings become. Let’s say you request a business plan for “an AI-driven e-commerce site”. It will jump straight into a carbon-copy template business buzzwords – Problem Definition, Unique Value Proposition, Early Adopters – without context or insights. Why doesn’t the LLM pause and wonder: what does “AI-driven” mean to you? What stage of your business story are you in? It's the nuance, the back-and-forth of understanding that's missing—direct prompts often lead to a one-way street of uninspired affirmations. In my talks with business people, a recurring theme is their need for an LLM that doesn’t churn out cookie-cutter answers, but crafts them with the considered questions of an expert analyst. Wouldn’t it be great if we were the ones to offer more useful LLMs to our customers? ## A new mental model In May of this year, academics proposed a mental model where the AI imagines a team of experts discussing the problem, each representing a different point of view. They propose their ideas step by step to the group, up until the point that they realize they are wrong, which is when they leave: “3 experts are discussing the question with a panel discussion, trying to solve it step by step, and make sure the result is correct and avoid penalty.” What is it about this prompt that triggers AIs into more productive thinking patterns? This 'panel' construct reshapes the pattern, emphasizing critical engagement over rote response. Instead of locking onto the most expected answer, the AI is coaxed into a more layered and intricate mode of thinking. But does it do so structurally, for the rest of the conversation?

Finished my Intro to Programming 🕶️

Been here just since few days, I can already say I love this little group ! Truly helpful ! Cheers y'all !

I was wondering what you guys think of these projects, who seem to be converging this last few weeks. Do you think this is something to watch for ? I particulary like the serie of video from IndyDevDan. Do you think this kind of stuff woulb be able to do an economical study if given the right informations (like "Can you do an economical study of grass production in [Region]") ? And I still don't get why Microsoft would give this code under Creative Commons ?... I mean that's cool, but why ?...

I had a quite simple (maybe silly for some of you :/) question, how do you do to develop an IA project using Open-source LLM and give access to this product to clients (I always see only OpenAI exemples but no exemples with LLM like Dolphin7b for exemple). Is it worth the effort (I need privacy on the informations disclosed in these conversation) ?