Here’s a quick rundown of the most popular (RAG) search approaches out there, plus tips on when they shine: • Keyword Search (e.g., BM25, BM42): Finds direct matches—great for straightforward data or well-defined keywords. • Embedding Search: Captures deeper semantics,
@whats_ai
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Ultimate ML Roadmap for Beginners: Free AI Learning Resources
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The Ultimate Roadmap for Machine Learning Beginners in 2025 • A curated list of resources to dive into the AI space (beyond just LLMs)
• Perfect for aspiring data scientists, AI enthusiasts, and anyone curious about the broader field of AI No prerequisites, and it's free. -
New LLM Developer Course: 48 Notebooks and Hands-On Project
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Our new course, "From Beginner to Advanced LLM Developer," contains 48 notebooks and a template repository for the final course project (because you can't learn everything and be a complete LLM developer through notebooks only). Notebooks are really powerful to teach the core
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Building LLMs for Production: 34 Advanced Notebooks and Techniques
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The "Building LLMs for Production" book has 34 notebooks that are each either a full tutorial on an advanced LLM-related technique or application or a specific project like "Fine_Tuning_using_Cohere_for_Medical_Data.ipynb". It took us more than a year to build all these and put
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Fine-tuning LLMs for RAG: Advanced Techniques
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Good morning! In this week's iteration, let’s dive into fine-tuning LLMs for RAG! https://
open.substack.com/pub/louisbouch
ard/p/fine-tuning-llms-for-rag?r=25qlky&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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Fine-Tuning LLMs for RAG: Boost Performance
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New video! Fine-Tuning LLMs for RAG: Boost Model Performance and Accuracy Learn more: https://
youtu.be/CWTSImmqcvQ -
Building profitable and sustainable company business
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Good luck with the book YK! Happy to help there if you need anything as we’ve published ours this year! On my end: make my company profitable and self sustainable 🙂
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Language Models’ Internal Representations Converge Like Vision Models
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Fascinating talk by @phillip_isola at @NeurIPSConf (
@unireps workshop)! In a recent paper, they compared the embeddings produced by vision and language models. The key finding? As language models improve, their internal representations of the world grow increasingly similar to -
How AI Powers Netflix and Spotify Recommendations
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Good morning, everyone! Here's a NEW iteration of the What's AI newsletter!! Have you ever wondered how can Netflix or Spotify recommend us the best series to watch or a song to listen to when it’s hard to find what we want in a basic Excel sheet? While spreadsheets are pretty
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Vector Databases Explained for LLM Development
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New video!! Vector Databases Explained (vs traditional databases & alternatives) Learn more: https://
youtu.be/TprMWe54kZE 6/10 of the "From Beginner to Advanced LLM Developer" course by Towards AI 🙂 4 more to come!