格竹斋 @jchs86
Joined July 2009-
Tweets8K
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Following1K
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or-channel pattern in Go is a powerful concurrency pattern used to combine multiple done channels into a single done channel. this new channel closes as soon as any of the input channels close, effectively acting as a unified signal for completion or cancellation. #golang
You can now run 100B parameter models on your local CPU without GPUs. Microsoft finally open-sourced their 1-bit LLM inference framework called bitnet.cpp: > 6.17x faster inference > 82.2% less energy on CPUs > Supports Llama3, Falcon3, and BitNet models
a senior engineer at google just dropped a 400-page free book on docs for review: agentic design patterns. the table of contents looks like everything you need to know about agents + code: > advanced prompt techniques > multi-agent patterns > tool use and MCP > you name it
Maths for ML series. starting on my YT channel today, will be starting with linear algebra. (link in the comments for the channel). kindly engage and RT for good karma. will also be sharing a github repo for all the resources for the same.
I boosted my AI Agent's performance by 184% Using a fully open-source, automatic technique Here's a breakdown (with code):
She asks if her grandfather's damaged watch can be restored. As a lover of automatic watches, I find this so satisfying to watch. ⌚
Our latest book on the mathematical principles of deep learning and intelligence has been released publicly at: ma-lab-berkeley.github.io/deep-represent… It also comes with a customized Chatbot that helps readers study and a Chinese version translated mainly by AI. This is an open-source project.
Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀 🧠 Hybrid inference: Think & Non-Think — one model, two modes ⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528 🛠️ Stronger agent skills: Post-training boosts tool use and…
Full Course: Build AI Agents with Model Context Protocol (MCP)! Walk through core concepts, hands-on development, advanced implementation, and real-world case studies. Learn how to build and deploy AI agents with MCP in Visual Studio Code, contribute to the community, and apply…
Most Event-Driven Architecture failures aren’t about Kafka, RabbitMQ, or the broker. They happen because of poor event design discipline. Here are 4 pitfalls I see over and over, and how to avoid them 👇 1. Overloading Events with Too Much Data Events bloat, network traffic…
Seems like everyone's talking about database sharding. Earlier this year, I wrote an interactive guide on how it works for relational databases. Every engineer should know the core principles and challenges of sharding. This article is here to help.
Bytedance just dropped realtime voice translation 3x faster than before, with only a ~3s lag! Seed LiveInterp 2 is a full duplex speech-to-speech model with >70% correctness. When this makes it to video calls, it'll open up previously impossible connections.
The rise of China as an innovation powerhouse completely debunks the notion that innovation and entrepreneurship cannot thrive in an economy where private capital is subordinate to the state.
I switched to AI Engineering 2 years ago! It was the best career move I ever made. If you want to start today, here's a roadmap:
My "Tibet" documentary is here! This is part one of "Seven Days in Xizang," titled "Place of the Gods," where I take a train to Lhasa to find out if Western media claims about "Tibet" are true or not. Did you know Lhasa means "Place of the Gods" in Tibetan!? WATCH FREE HERE:
Large scale AI systems by country. It’s basically a US - China show, within which, it’s largely a China-based Chinese and US-based Chinese show. The gap now is basically compute/GPUs.
China dropped these open-source models in July: - GLM-4.5 - GLM-4.5-Air - Wan-2.2 - Qwen3 Coder - Qwen3-235B-A22B-Thinking-2507 - Qwen3-235B-A22B-2507 - Kimi K2 Meanwhile: - OpenAI still hasn’t released the open-source model - Anthropic is doing stricter rate limits - Meta might…

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