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With Llama 3.2 we released our first-ever lightweight Llama models: 1B & 3B. These models empower developers to build personalized, on-device agentic applications with capabilities like summarization, tool use and RAG where data never leaves the device.

AI at Meta

823,467 subscribers

153,396 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie Bildung Nachrichten & Politik

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von AI at Meta

AI at Metavor 1 Jahr

More details, reference applications and model downloads ➡️

Profilbild von Vaibhav (VB) Srivastav

Vaibhav (VB) Srivastavvor 1 Jahr

Love it! Thanks for the smol models again! - With MLC we managed to make them work on WebGPU 🔥 1B & 3B running in a browser..

Profilbild von Konrad Lercher

Konrad Lerchervor 1 Jahr

Please tell me that these are EU-available😖

Profilbild von AJ - e/Acc 🚀🇨🇴🇵🇷

AJ - e/Acc 🚀🇨🇴🇵🇷vor 1 Jahr

When are we going to get meta Ai in WhatsApp, Instagram Dm and messenger with voice mode?

Profilbild von Maham Codes 👩‍💻

Maham Codes 👩‍💻vor 1 Jahr

love how these models are making the entire agentic applications super fast. Dropping this here in case someone needs it :)

Profilbild von Emin Temiz

Emin Temizvor 1 Jahr

does your 90B perform better than 3.1 70B for text generation?

Profilbild von Steven Moon

Steven Moonvor 1 Jahr

I have been playing around with running these locally on my iPhone and iPad today. Very impressive work. I am getting super excited over the potential this has in mobile app development.

Profilbild von Sumanta Das

Sumanta Dasvor 1 Jahr

Rolls out??

Profilbild von hicksford

hicksfordvor 1 Jahr

what are the licensing requirements for corporate use?

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32,480 Aufrufe • vor 9 Monaten

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NVIDIA AI Developer

140,800 Aufrufe • vor 1 Jahr

With today’s launch of our Llama 3.1 collection of models we’re making history with the largest and most capable open source AI model ever released. 128K context length, multilingual support, and new safety tools. Download 405B and our improved 8B & 70B here.

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39,101 Aufrufe • vor 2 Jahren

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Andrew Ng

67,846 Aufrufe • vor 1 Jahr

The future of AI is open-source. And ollama is the easiest way to build AI applications with open-source LLMs. Here's how to build a free, private RAG app using open-source tools. We'll use: - Ollama for LLMs and embedding models - PostgreSQL for data storage and retrieval - pgai Vectorizer for embedding creation and sync (I use Nomic for embeddings and tinnyllama as my LLM but you can substitute them for any models on Ollama)

The future of AI is open-source. And ollama is the easiest way to build AI applications with open-source LLMs. Here's how to build a free, private RAG app using open-source tools. We'll use: - Ollama for LLMs and embedding models - PostgreSQL for data storage and retrieval - pgai Vectorizer for embedding creation and sync (I use Nomic for embeddings and tinnyllama as my LLM but you can substitute them for any models on Ollama)

Avthar

34,261 Aufrufe • vor 1 Jahr

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

Andrew Ng

218,703 Aufrufe • vor 2 Jahren

Run state-of-the-art RAG applications locally on your computer with ollama and use all the fantastic open-source models like llama3, msk's awesome models, or Command R from Cohere With Verba 1.0, we put it all in your hands 🙌 Get on board for a wild open-source ride, we're bridging any moat as open-source is here to win

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Philip Vollet

41,450 Aufrufe • vor 2 Jahren