35 results for "Llama 4"
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February 12, 2025
Blended, an educational technology and AI company based in Germany, is using Llama 3.1 as the foundation of its flagship product, Blended OS, an AI-native school operating system.
September 27, 2023
The latest updates on the Llama ecosystem coming out of Meta Connect 2023
November 15, 2023
This blog is a part of our 5 Steps to Getting Started series, where we go over 5 steps you need to take to get started to use an open source project by Meta.
August 24, 2023
Code Llama, which is built on top of Llama 2, is free for research and commercial use.
November 30, 2023
Today we’re celebrating the 10-year anniversary of Meta’s Fundamental AI Research (FAIR) team. During the past 10 years, the field of AI has undergone a profound transformation, and through it all, FAIR has been a source of many AI research breakthroughs, as well as a beacon for doing research in an open and responsible way.
April 18, 2024
We’ve taken responsible steps before launching Meta AI and Meta Llama 3 so people can have safer and more enjoyable experiences.
Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. In the coming months, we expect to share new capabilities, additional model sizes, and more.
July 23, 2024
Bringing open intelligence to all, our latest models expand context length, add support across eight languages, and include Meta Llama 3.1 405B— the first frontier-level open source AI model.
May 07, 2024
Retrieval-Augmented Fine-Tuning (RAFT) combines the benefits of Retrieval-Augmented Generation and Supervised Fine-Tuning for better domain adaptation.
August 07, 2024
In this post, we’ll discuss the following question: “When should we fine-tune, and when should we consider other techniques?”
September 24, 2024
We’re inspired by these and the many other diverse projects we’ve seen developers undertake around the world to positively impact their communities by building with Llama.
October 18, 2024
Today, Meta FAIR is releasing several new research artifacts in support of our goal of achieving advanced machine intelligence (AMI) while also supporting open science and reproducibility.
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