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?

Sharing an interesting read about the "four scenarios on the future of AI in creative industries". Three key takeaways from the reading: 1. Four scenarios: The author presents four possible scenarios for the future of AI in creative industries, based on two dimensions: the degree of human-AI collaboration and the degree of regulation. The scenarios are: AI as a tool, AI as a partner, AI as a competitor, and AI as a regulator. 2. Implications and challenges: Each scenario has different implications and challenges for the creative sector, such as the role of human creativity, the ethical and legal issues of AI-generated content, the impact of AI on the quality and diversity of creative products, and the need for new skills and education. 3. Recommendations: The author provides some recommendations for the creative sector to prepare for the future of AI, such as: embracing human-AI collaboration, fostering ethical and responsible AI, promoting transparency and accountability, and engaging with stakeholders and policymakers. Powered by AI

Should I start intro to ml on kaggle?.

I have just read a post that intrigued me 🤔... A drinks company in Poland hired Mika, a robot CEO! in August 2022. She helps find clients and picks artists for rum bottle designs. Her decision-making is data-driven and unbiased, or so they say, lol, focusing on what's best for the company. Read the post here: https://www.businessinsider.com/humanoid-ai-robot-ceo-says-she-doesnt-have-weekends-2023-9 Have a great day!

The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!