Visualizes internal workings of Transformer models github.com/facebookresear…

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Today, let's build a RAG system that queries 36M+ vectors in <30ms using Binary Quantization. Tech stack: - LlamaIndex 🦙 for orchestration - Milvus as the vector DB - Kimi.ai Kimi-K2 as the LLM hosted on Groq Inc Let's build it!

This GitHub repo contains a 75+ projects on AI Engineering. Everything is 100% open-source, covering • LLMs and RAGs • Real-world AI agent applications • Examples to implement, adapt, and scale in your projects Link is in replies👇🏻

youtube.com/watch?v=e9-0Bx…

Researchers built a new RAG approach that: - does not need a vector DB. - does not embed data. - involves no chunking. - performs no similarity search. And it hit 98.7% accuracy on a financial benchmark (SOTA). Here's the core problem with RAG that this new approach solves:

As I pointed out days ago, the charts were predicting a $20 daily range in Silver soon. Soon has now come and gone. Also a 20% correction as if I cared anything about Fib ratios

Indian man from Gujarat earns money gets married to an indian lady, votes for modi and talks about sanatana Gujju uncle grows out his belly Gujju uncle goes to Thailand Gujju uncle spots a girl minding her own business Gujju uncle approaches her Gujju uncle asks for the

I went on a call with Andrew Warner yesterday and showed him how MissionControl works... All the AI agents you see here are autonomous and do all the tasks on their own. I just talk to the Jarvis (lead AI agent) and Jarvis orchestrates everything else.

I made OpenClaw🦞 10x better. I wish I knew this stuff sooner. I spent the last 2 weeks using it and put together all of the best practices I learned. Here's everything you need to know:

My little side project simpleclaw.com just passed $7K MRR in less than 3 days. You guys are the best 😭

Instead of watching Netflix, watch this guide to Clawdbots

OpenClaw: FULL COURSE 3 HOURS (Build & Automate Anything)

10 YouTube channels that will make you an AI expert: 1. Andrej Karpathy - modern, practical lectures 2. Yannic Kilcher - Breaks down AI papers in detail 3. AI Explained - Makes tough ideas easy to get 4. CodeEmporium - Step-by-step AI coding 5. 3Blue1Brown - Visuals for neural

Instead of watching a 2-hour movie, watch this masterclass on Claude code and thank me later.

This guy teaches everything you need to know about OpenClaw in 35 mins

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