If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Check this!! You can now raise PRs by just writing English prompts.I integrated the @codegen coding agent with Slack and asked it to build a video RAG app.5 minutes later, it raised a PR with fully working code.Completely hands-off! https://t.co/bcQFp6yBDJ ...

AI Engineering Career Development - Identifies 10 GitHub repositories for building a career in AI engineering [1] - Highlights a 100% free roadmap for AI engineering [1] Key Areas in AI/ML - Covers basics of AI/ML [1] - Includes neural networks [1] - Focuses on research paper implementations [1] - Addresses MLOps [1] - Encompasses LLMs/RAG/Agents [1]

Here's what nobody wants to admit. When LLMs finally work at something, the implementation will be boring as Harvey isn't some breakthrough in legal AI. It's chat GPT with a law costume.Lovable isn't revolutionizing code. It's clawed with pretty buttons. Price is the lever for 90% of economic transactions.If you can get a stupid price in the public market that's higher than the stupid price you're getting in the private market, then at the margin most of you should go. With all these people leaving, is ther ...

General Information - This document is a recommendation to reshare insightful content related to Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval Augmented Generation (RAGs) [1] - The document highlights 10 free GitHub repositories that can help individuals prepare for a career in AI engineering [1] Resources - The author, Avi Chawla (@_avichawla), shares tutorials and insights on DS, ML, LLMs, and RAGs daily [1]

Links:- ML for Beginners: https://t.co/4BjD3ePOET- AI for Beginners: https://t.co/RMGBL5sRfe- NN Zero to Hero: https://t.co/BGKZvCTGeN- Paper implementations: https://t.co/SN0DH2BLQq- Made with ML: https://t.co/2xrM6s50X0- Hands-on LLMs: https://t.co/KTZUVbsAFY- Advanced RAG techniques: https://t.co/3n1fgpc72t- Agents for Beginners: https://t.co/O52uS8quyh- Agents towards production: https://t.co/3n1fgpc72t- AI Engg. Hub: https://t.co/b2WVNQqcBANote: This roadmap moves toward LLMs, NLP, and AI agents after ...

The game here is who wins the AI prize five years from now. Shimoth, who's your number one and number two. Tesla's one and Google's two.And the reason is because they are the closest to having that vertically integrated stack that I spoke about. I think that Tesla has the best vision models. Now with XAI, they'll have one of the best LLMs and reasoning models and they'll be able to eventually stick that on Dojo.And then all of that will be in all of the physical AI that you will interact with in your daily ...

图片来源： Clay 科技行业经常讨论人工智能将如何改变工作方式。由红杉资本领投、刚刚完成 580 万美元种子轮融资 并走出隐秘模式的律所初创公司 Crosby ，或许是我们迄今为止所见最具代表性的未来图景。 红杉资本的陈嘉欣和林君叡与贝恩资本风险投资公司共同领投了种子轮融资，参与投资的还有众多天 使投资人，包括 Ramp 联合创始人埃里克·格利曼和卡里姆·阿提耶、 Opendoor 联合创始人吴晓波、 Casetext 联合创始人杰克·海勒、 Instacart 联合创始人马克斯·马伦，以及 Flatiron Health 的联合创始 人扎克·温伯格和吉尔·什克拉尔斯基。 Crosby 不仅仅是在为律师开发人工智能软件——尽管它确实在做这件事。Crosby 是一家真正的律师 事务所，利用人工智能以前所未有的速度提供法律服务。 与向律师出售技术不同，克罗斯比直接雇佣律师使用其内部开发的人工智能软件。该公司主要向初创 企业提供合同审查法律服务，目前承诺其由人工监督的 AI 软件能在不到一小时内完成新客户合同审 查。 据联合创始人兼首席技术官约翰·萨里汉（ John Sarihan ）向 TechCrunch 透 ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Let's build an MCP-powered RAG over videos, step-by-step: ...

Model Architecture - Explains Transformer vs Mixture of Experts (MoE) in LLMs with visuals [1] - Focuses on clearly explaining Mixture of Experts in LLMs [1]

LLM 技术 - Transformer 与 Mixture of Experts (MoE) 在 LLMs 中的对比分析 [1] - 行业关注 DS (数据科学), ML (机器学习), LLMs (大型语言模型), 和 RAGs (检索增强生成) 的教程和见解 [1] 社交媒体互动 - 鼓励用户分享信息 [1] - 行业专家 Avi Chawla 在社交媒体上分享相关内容 [1]