For Llama updates please see the Open Source category
Meta Earnings Show Revenue Increase, Even as Spending Spree Continues – The New York Times
Meta teams with Reuters for AI-driven news delivery
Meta Develops AI Search Engine to Lessen Reliance on Google, Microsoft — The Information
Meta is reportedly developing a search engine for its chatbot
Advancing embodied AI through progress in touch perception, dexterity, and human-robot interaction
“Meta spent as much as the Manhattan Project on GPUs in inflation-adjusted dollars. Really curious how long they will continue to release open models with that sort of capital expenditure and models that are getting more economically valuable.
“We previously shared our research on Layer Skip, an end-to-end solution for accelerating LLMs from researchers at Meta FAIR. It achieves this by executing a subset of an LLM’s layers and utilizing subsequent layers for verification and correction. We’re now releasing inference
“Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work. Details on all of this new work ➡️
“Meta released LongVU: a new video LM that can handle long videos (great performance, battle-tested by me ⚔) TLDR; 1️⃣ downsample using DINOv2 to eliminate redundant scenes 🦖 2️⃣ fuse rest of the features using DINOv2 and SigLIP 3️⃣ select some tokens, pass to Qwen2/Llama-3.2-3B
Meta is making a robot hand that can ‘feel’ touch | TechCrunch
“Great to visit one of our data centers where we’re training Llama 4 models on a cluster bigger than 100K H100’s! So proud of the incredible work we’re doing to advance our products, the AI field and the open source community. We’re hiring top researchers to work on reasoning,
Introducing quantized Llama models with increased speed and a reduced memory footprint
“Training Llama 4 on 100k H100s.” / X
“Build advanced RAG systems with @MLflow and LlamaIndex Workflows! Go beyond the basics: 🔍 Combine vector search, keyword-based search (BM25), and web search in parallel 🧠 LlamaIndex Workflows for flexible, event-driven orchestration 📊 MLflow for experiment tracking,
Unleashing the Power of AI on Mobile: LLM Inference for Llama 3.2 Quantized Models with ExecuTorch and KleidiAI | PyTorch
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