What are multimodal models and how can you start using them? Shaw Talebi presents an accessible, hands-on introduction to one of the most rapidly evolving areas in machine learning. towardsdatascience.com/multimodal-mod…

Multimodal embeddings unlock countless AI use cases that involve multiple data modalities. Explore more mapping text and images into a common space in Shaw Talebi's newest article. towardsdatascience.com/multimodal-emb…

Multimodal RAG systems can synthesize knowledge stored in a variety of formats, expanding what’s possible with AI. Shaw Talebi reviews 3 simple strategies for developing such a system and then saw an example implementation of a multimodal blog QA assistant. #RAG #Python

Last month, I booked my most expensive mentorship call yet at $700/hr 😬 While this might sound like a big number, the person on the other side of the call makes $100k/mo as a solo AI entrepreneur. Here are my key takeaways from this conversation... 1) Focus on customer pain

Technical founders love to code, but that alone won't make you successful. Here are 15 things I had to learn to become a (data) entrepreneur... 1. Talk to customers 2. Identify pain points 3. Sell 4. Sell to many people (i.e. marketing) 5. Make a website 6. Build a landing page

Follow along Shaw Talebi's five-step roadmap to gain a solid foundation in AI's current landscape. towardsdatascience.com/how-id-learn-a…

DeepSeek OpenAI Shaw Talebi towardsdatascience.com/how-to-train-l…

DeepSeek OpenAI Shaw Talebi towardsdatascience.com/how-to-train-l…

Over the last 2 yrs, I've helped 35+ companies improve their AI products. I distilled my approach into this guide, which covers error analysis, synthetic data, eval-human alignment, involving domain experts, optimizing # of experiments & more (1/5) hamel.dev/blog/posts/fie…

I just received 3 baguettes from Sathish on Buy Me a Coffee! buymeacoffee.com/shawhint/c/136…

Building software on top of (unpredictable) LLMs can feel more like praying to the ML gods than engineering 🙏 But it doesn’t have to be that way… In a recent blog post, I showed how error analysis resolves the guesswork by giving us a systematic way to identify and improve

Just watched Shaw Talebi YT video on "ML Foundations for AI Engineers". All the concepts are so beautifully explained with various examples. A must watch.

Building LLM systems felt more like praying to the AI gods than engineering. But all that changed when I learned about eval-driven development. This Thursday (9/25) at 11AM CST, I’ll be sitting down with Hamel Husain for a live podcast to discuss evaluation frameworks and