G Singh @gautamsingh
Vancouver, British Columbia Joined June 2007-
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New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with @LangChainAI taught by its Co-Founder and CEO, @hwchase17! Personal assistance and productivity tasks have become important…
Post-Training LLMs includes Fine-tuning, alignment, efficiency, multi-modal integration, and reinforcement learning and turn LLMs into something far greater. If you want AI that reasons better, aligns with human values, runs efficiently, and even evolves into AI Agents,…
📚 🔍 bRAG: Complete RAG Guide A comprehensive project showcasing RAG implementations with LangChain - from basics to advanced features like multi-query retrieval, ColBERT indexing, and RAG-Fusion. Check out this 1.7K+ starred guide 🚀 github.com/bRAGAI/bRAG-la…
Best way to prompt, shared by OpenAI President Greg Brockman Using AI the right way is the key to its "magic".
Announcing How Transformer LLMs Work, created with @JayAlammar and @MaartenGr, co-authors of the beautifully illustrated book, “Hands-On Large Language Models.” This course offers a deep dive into the inner workings of the transformer architecture that powers large language…
"regular people don't fine-tune VLMs" but wtf not? - skill gap - high fine-tuning costs - lack of standards and unified approaches over the past few weeks I've been working on maestro - streamlined tool for VLM fine-tuning link: github.com/roboflow/maest…
STORM is an amazing paper for anyone interested in AI workflows. It's a Rube Goldberg machine for generating long-form articles. And it's really freaking cool. Breakdown below:
MIT just solved humanity's biggest weakness: In 2025 the average attention span lasts no longer than 12 seconds. But fortunately scientists discovered a 3-step method that fixes this. Here's the protocol to rewire your brain:
obligatory tweet, just that this account is by a real human...

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