Influencing LLMs means influencing their sources. That involves building a ­loyal online following. To the relief of the big agency holding companies, it also means an enduring role for old-school PR https://t.co/giXPqyi4bG ...

Influencing LLMs means influencing their sources. That involves building a ­loyal online following. To the relief of the big agency holding companies, it also means an enduring role for old-school PR https://t.co/g7XpiHEq4l ...

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]

AI Engineering Roadmap - The roadmap emphasizes the progression towards Large Language Models (LLMs), Natural Language Processing (NLP), and AI agents [2] - The roadmap suggests exploring Computer Vision (CV) and Reinforcement Learning (RL) as equally valuable paths for AI engineers [2] Resources for AI Development - The roadmap provides links to resources for Machine Learning (ML) and AI beginners [3] - The roadmap includes resources for hands-on experience with LLMs and advanced Retrieval Augmented Generation (RAG) techniques [3] - The roadmap offers resources for building AI agents, from beginner level to production-ready [3] - The roadmap links to a hub for AI engineering resources [3]

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 ...

Core Viewpoint - The article discusses how Crosby, a newly launched law firm backed by Sequoia Capital, is leveraging artificial intelligence to revolutionize legal services, particularly in contract review for startups, aiming to significantly reduce the time required for these processes [1][4]. Group 1: Company Overview - Crosby has completed a $5.8 million seed funding round led by Sequoia Capital and is characterized as a law firm that employs AI to provide legal services at unprecedented speeds [1]. - The firm primarily focuses on contract review services for startups, promising to complete new client contract reviews in under one hour, with aspirations to reduce this time to just a few minutes [1][2]. - The company currently has around 19 employees, including its two founders, and has already reviewed over 1,000 client contracts since its low-key launch in January [3]. Group 2: Founders and Team - Co-founders John Sarihan and Ryan Daniels bring diverse backgrounds, with Sarihan having experience in the startup sector and Daniels being a lawyer with nearly a decade of experience advising startups [1][3]. - The innovation at Crosby is attributed to the combination of technology and talent, as the founders actively recruit software engineers and lawyers to build a robust team [3]. Group 3: Investment and Market Potential - The seed funding round included participation from various angel investors and venture capitalists, highlighting the strong interest in disrupting the $300 billion legal industry [4]. - Sequoia Capital's investment decision was heavily influenced by the team's capabilities and the market dynamics, with a focus on the potential for AI to transform legal processes [4][5].

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: ...