Learn more about democratizing AI and the future of prompt engineering in our full discussion: https://
youtu.be/Y_NijxPgybo.
@whats_ai
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Democratizing AI and the Future of Prompt Engineering Discussion
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MindStudio: Building AI Apps Beyond Prompt Engineering
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MindStudio by Shapiro is a platform for building AI apps beyond prompt engineering, making AI creation accessible, and potentially transforming our daily AI interactions.
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AI as Central System: Selecting Right Models for Enhanced Effectiveness
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AI is becoming central for various tasks, not just a tool. Dmitry emphasizes systems must pick the right AI for each job to greatly enhance AI's effectiveness. There should also be an "intelligence layer" where prompt engineers work with the models and that users do not see.
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AI Democratization: Dmitry Shapiro’s Vision for Accessible AI Apps
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AI evolves towards democracy, thanks to people like Dmitry Shapiro. His vision is for accessible AI through user-friendly apps for all, beyond just tech experts with @youai__ai building MindStudio…
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AI Accessibility for Everyone: Beyond Coding and Prompt Engineering
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Shapiro believes AI's potential is accessible to all, not just coders. He also highlights how prompt engineering is a new skill that not everybody needs to learn. (Prompt engineering is a key skill that involves guiding AI behavior using clear, natural language, not coding)
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Why Conceptual Learning Matters More Than ChatGPT Shortcuts
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ChatGPT is killing your learning!
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 25 novembre 2023
Here’s how Conceptual Learning is more important than copy pasting problem in ChatGPT. Or, in other words, how fundamentals are more important than copy pasting problems or questions and answers getting your solution from model without a second… pic.twitter.com/jS7ZLf6yFSChatGPT is killing your learning! Here’s how Conceptual Learning is more important than copy pasting problem in ChatGPT. Or, in other words, how fundamentals are more important than copy pasting problems or questions and answers getting your solution from model without a second
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LLM Fine-Tuning: Deep Dive Video Tutorial
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Dive into LLM fine-tuning in my recent video: https://
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Fine-tuning and RAG: Improving AI Reliability and Reducing Hallucinations
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Fine-tuning helps but isn't a cure-all for AI issues, such as occasional 'hallucinations'. It improves knowledge robustness, and combining it with methods like Retrieval Augmented Generation (RAG) can increase the accuracy and reliability of your models.
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Specificity Improves Language Models for Finance and Medical Tasks
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Specificity enhances complex tasks, like updating a language model with finance data for better financial advice, or medical info for improved health responses.
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Fine-Tuning Large Language Models: From Generalists to Specialists
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The Art of Fine-Tuning Large Language Models… Fine-tuning transforms large language models like GPT-4 from generalists to specialists, like going from a broad education to a PhD, enabling expert-level performance in fields like medicine or finance.