RT BNB Chain Developers (@BNBChainDevs)Building with LLMs on BNB Chain is easier than you think.Learn how to set up MCP and connect LLMs like @claudeai & @openai to onchain agents 👇https://t.co/u25Dppffuw ...

RT Avi Chawla (@_avichawla)16 best GitHub repos to build AI engineering projects!(star + bookmark them):The open-source AI ecosystem has 4.3M+ repos now.New repos blow up every month, and the tools developers build with today look nothing like what we had a year ago.I put together a visual covering the 16 repos that make up the modern AI developer toolkit right now.The goal was to cover key layers of the stack:1) OpenClaw↳ Personal AI agent that runs on your devices and connects to 50+ messaging platforms2) ...

16 best GitHub repos to build AI engineering projects!(star + bookmark them):The open-source AI ecosystem has 4.3M+ repos now.New repos blow up every month, and the tools developers build with today look nothing like what we had a year ago.I put together a visual covering the 16 repos that make up the modern AI developer toolkit right now.The goal was to cover key layers of the stack:1) OpenClaw↳ Personal AI agent that runs on your devices and connects to 50+ messaging platforms2) AutoGPT↳ Platform for buil ...

RT BNB Chain Developers (@BNBChainDevs)Building with LLMs on BNB Chain just got easier.This tutorial walks through MCP setup and shows how to connect LLMs, such as @claudeai/@openai, to onchain agents and workflows.Watch the tutorial by our DevRel, @Gwenole_M 👇 https://t.co/kRa6uyrS9z ...

The core engineering behind @UnslothAI has always been impressive!Instead of relying on PyTorch's default autograd for backpropagation, Unsloth built their own backprop kernels from scratch in OpenAI's Triton language (a Python-based language for writing GPU kernels without needing to write raw CUDA C++).One of the reasons to do this is that the default autograd runs each operation as a separate GPU call, and each call reads and writes data back to global memory before the next one can start.Across dozens o ...

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. https://t.co/BAb4J28FUKAvi Chawla (@_avichawla):There's a new learning paradigm for AI agents.It learns the way humans do.Think about how you learned to drive. Nobody memorizes every route turn by turn. You develop instincts like maintaining a safe distance, anticipating what other drivers will do, and braking early in the https://t.co/2MWE7WXEgw ...

Weekend reading that never gets old. The case of the relevance of an 1880 presentation @smithsonian to today’s debate on what scaling “AI” through LLMs gets us. $NVDA $AVGO $METAhttps://t.co/BOJOVoVIQS https://t.co/iaozvl7t69 ...

Core Insights - There is an ongoing debate among investors regarding the defensibility of Gartner's Insights business in the context of large language models (LLMs) that can synthesize general business advice from public data [1] Group 1: Client Value Proposition - Gartner's long-standing client value proposition remains compelling, focusing on assisting senior operating executives in making better decisions related to their strategic priorities [2] - The target audience includes direct reports to CEOs, emphasizing the importance of tailored insights for high-level decision-making [2]

Why would anybody want to emulate software companies right now. I thought software companies are on their way out. >> I know.Look, I I think this continues to be, you know, I think a very white knuckle period for software companies because I think it's really an AI ghost trade. It's the view that these LLMs or anything that comes out is going to be the demise of software. I continue to view it as the most disconnected trade that I've seen in my career.I think it's just way oversold and I think this is going ...

How are LLMs trained?4 stages that turn raw text into ChatGPT:→ Pre-training→ Instruction fine-tuning→ Preference fine-tuning→ Adding reasoning capabilities https://t.co/Nd93NHDSI0 ...