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I have new favourite blogsite

Really good book for learning how to build agentic systems! If you want to move beyond simple AI pipelines and get into agents, this will be a great starting point. The book is highly practical and will show you how to build autonomous agents that can plan, reason, use tools,

I'll never forget this model as well as the relationship between pretrain, SFT and RLHF.

Love this project: nanoGPT -> recursive self-improvement benchmark. Good old nanoGPT keeps on giving and surprising :) - First I wrote it as a small little repo to teach people the basics of training GPTs. - Then it became a target and baseline for my port to direct C/CUDA

Our latest Gemma 3n model pushes the boundaries of multimodal AI, natively understanding and processing information from images, audio, and more. See Gemma 3n in action 🧵↓

Claude Code has really changed the vibe coding game. People are coming up with wild use cases. There's a shift. 10 examples: 1. Prompt: Create an amazing animation multicolor and interactive using p5js

ntfy: send notifications to your phone or desktop using simple HTTP or REST API calls

Realtime and efficiency for AI devices

DeepSeek-R1-0528-5bit on MLX pushing M3 Ultra 512GB to its limits! 501GB used mem visibile on mactop in the video! Context: 4K tokens Prompt: 190.29 t/s Gen: 11.37 t/s Peak Mem: 487.48 GB! THIS IS APPLE MLX!

Why we did select food science as Booster tasks, answered by this

alt-season may be late but will come

Today, we are open-sourcing our pipeline to deduplicate large-scale image datasets. On one GPU, we can deduplicate 10k images against 1M indexed test images in ~60 seconds. But how?

it's funny how many people wrote up huge predictions for MCP without even looking into how LLM performance degrades when you add even 10 tools to them

such a joy to replace old toolchain

tool for running and managing self-hosted apps with Docker

这是一本精彩、视觉震撼的深度学习免费入门书籍。 强烈推荐给那些想了解基本概况的好奇人群。