Edward @_edwardpraveen

I promise you you’re vibe coding wrong as someone who has built multiple production-ready applications, with thousands of users, from just Cursor with minimum intervention. But first here's you (probably): You open Cursor. Type “build me X.” It spirals. Nothing works. You…

Multi-agent team need long-term memory to maintain context and learn continuously. 5 frameworks for AI agent memory. 100% opensource.

Indian students tend to work harder to “prepare” for a thing than on the thing itself. And this skews perspectives in a very damaging manner. We work hard preparing for JEE to get into a good college, but think it’s too much effort to manage college while also spending a few…

Making LLMs run efficiently can feel scary, but scaling isn’t magic, it’s math! We wanted to demystify the “systems view” of LLMs and wrote a little textbook called “How To Scale Your Model” which we’re releasing today. 1/n

We’re excited to feature Presenter 🎨 🖼️: a multi-agent workflow that can generate visually rich presentations. It’s a perfect reference repo if you’re looking to build a report generation agent, and contains a ton of features: ✅ generate Mermaid diagrams ✅ generates scripts…

Dramatically improve the accuracy of your knowledge graph applications by applying agentic strategies with LlamaIndex workflows! In this comprehensive post by Tomaz Bratanic of @neo4j, he builds up slowly from a naive text2cypher implementation to an agentic approach with error…

1/ SakanaAI just dropped their latest research: Transformer² It's a self-adaptive architecture that allows AI to evolve at inference time. Model weights are no longer "static" Let’s break it down: 🧵

Google just cooked OpenAI in the AI reasoning game. Gemini 2.0 Flash Thinking is out, and it's already beating OpenAI's o1 in the Arena Leaderboard. It's faster and shockingly transparent on its "thinking"🤯 8 wild examples (and how to try):

Agentic Workflow for Patient Case Summaries 🥼📝 We made a full tutorial showing you how to build an agentic workflow that parses a patient’s health record, uses LLM-driven extraction + RAG to analyze guideline recommendations for each condition, and then generates a clear case…

Graph-powered RAG system LightRAG, proposed in this paper, builds knowledge graphs on-the-fly to fix RAG's context blindness Original Problem 🔍: Current Retrieval-Augmented Generation (RAG) systems struggle with flat data representations and lack contextual awareness, leading…

Open-source alternative to OpenAI's voice. Extends text-based LLM to have native "listening" ability. Think of it as an open data, open weight, on device Siri. What it offers: 📌 Implements native "listening" abilities in LLMs, similar to Siri but runs locally on-device 📌…

Many-agent Simulations toward AI Civilization Demonstrates how 10-1000+ AI agents behave and progress with agent societies. Proposes PIANO, an architecture that enables agents to interact with humans and other agents in real-time. Shows that agents can autonomously develop…

📱What's up WhatsApp? 🤖 Learn how to build a next-gen AI chat assistant with @AWS Bedrock, Lex, Connect, LangChain, and WhatsApp. You'll learn how to: • Create an agent that provides context-aware responses using your private knowledge base • Rapidly deploy with serverless…

Learn programming by playing games: Blockchain → cryptozombies.​io SQL → mystery.knightlab.​com JavaScript → warriorjs.​com Go → codingame.​com Python → codedex.​io CSS → cssbattle.​dev Java → tynker.​com Git → ohmygit.​org

An open-source, full-stack demo of streaming events from workflows, including Human In The Loop input and output! In this simple full-stack app we show a dummy flow that simulates a report-writing agent: you give it a topic, it does research for you, and then presents that…

📣 Introducing Llama 3.2: Lightweight models for edge devices, vision models and more! What’s new? • Llama 3.2 1B & 3B models deliver state-of-the-art capabilities for their class for several on-device use cases — with support for @Arm, @MediaTek & @Qualcomm on day one. •…

Pixtral 12B is an exciting new multi-modal model from our friends at @MistralAI, and you can use it directly from LlamaIndex! Pixtral offers excellent performance compared to similarly-sized models on things like: ➡️ Chart understanding and analysis ➡️ Image understanding and…

Olmo goes multimodal! We are launching Molmo, a open family of multimodal models that rival the best closed VLMs out there 🤯 We spent the last 9 months meticulously curating PixMo, a dataset of (a) high-quality image-caption pairs and (b) multimodal instruction data.

The top 5 actively discussed papers on alphaXiv this week: 1. LoRA: Low-Rank Adaptation of Large Language Models (w/ @edwardjhu) 2. The Unbearable Slowness of Being (w/ @JieyuZheng3, @mameister4 ) 3. The Llama 3 Herd of Models (w/ @AIatMeta) 4. The AI Scientist: Towards Fully…

If you’d like to spend a few hours this weekend to dive into Large Language Models (LLMs) and understand how they work, I've prepared a 3-hour coding workshop presentation on implementing, training, and using LLMs: youtube.com/watch?v=quh7z1…