Open sourcing AI models, with proper safety measures in place, makes sense for the science, for the business, and for society.

If being an outlier means building a diverse team, leaning into openness, and having a more collaborative vision for AGI, I'll take it!

🚨New paper!🚨 ToolVerifier. - Method to generalize to new tools - Self-asks contrastive questions to select between best tools and parameter choices - Fine-tuned on self-built synthetic data - 22% performance improvement over few-shot baseline arxiv.org/abs/2402.14158 🧵(1/4)

Enough with the hyperbole from all sides! I'm glad to have participated in this work taking a principled approach towards assessing the societal impact of Open Foundation Models. There is a lot more work to do of course, but this is a step in the right direction.

Glad to see Meta highlighting the benefits of AI, and the value of an open approach.

I'm strongly supportive of this letter and its core message. We need a nuanced approach to the risks and benefits of AI, and more transparency is key to enable a wide group of stakeholders to join the conversation!

We just released Meta Llama 3: the most capable openly available LLM available to date! The 8B & 70B models are out now, and we expect to release models with larger context windows, additional model sizes and more capabilities in the coming months.

Congratulations Ahmad Al-Dahle + the entire GenAI team + all of the incredible XFN across AI at Meta that came together to ship these new models today! 👏

Don’t miss Imagine Flash, released as part of the Llama3 launch. It’s pretty awesome!

Proud of this work coming out of a collaboration between FAIR researchers & Georgia Tech that was just published in ACS Central Science! The dataset & AI models that we released together could help meaningfully accelerate research combating climate change. open-dac.github.io

New work from FAIR exploring multimodal understanding and generation, all in a single model.

Two years ago we released 'No Language Left Behind', a first-of-its-kind project for neural machine translation directly across 200 languages. This has fuelled countless new innovations. Today the work was published in nature — congratulations Marta R. Costa-jussa + the NLLB team!

I’m excited to share a few things we’re releasing today at Meta FAIR. These new AI model and dataset releases are part of our longstanding commitment to open science and I look forward to sharing even more work like this from the brilliant minds at FAIR! ai.meta.com/blog/meta-fair…

Today is a good day for open science. As part of our continued commitment to the growth and development of an open ecosystem, today at Meta FAIR we’re announcing four new publicly available AI models and additional research artifacts to inspire innovation in the community and

So proud of Nikhila Ravi for being named a 2024 Young Engineer of the Year! She has done amazing work at FAIR, including our Segment Anything Model, and there's so much more to come! Congratulations!! raeng.org.uk/news/royal-aca…

I continue to be alarmed at the progress of proposed California regulation SB 1047 and the attack it represents on open source and more broadly on AI innovation. As I wrote previously, this proposed law makes a fundamental mistake of regulating AI technology instead of AI

I'm giving the opening Keynote at ICML 2024 on Tuesday the 23rd @ 9:30am CEST. I'll try empower folks to get Open Science back on track -- the free discussion of ideas is such an important aspect of AI progress, and we've been losing track. This is a complex topic, and I wont

Open Source AI is the Path Forward llama.meta.com Llama 3.1 release includes a new 405B model, improved 8B & 70B, 128K context length, multilingual support, new safety tools, full research paper.

We dropped another awesome open model: SAM 2. This one comes with the data and an easy-to-use demo. It extends the original Segment Anything Model, to work on video. Enjoy!

I’m excited to share a new AI Coding Competition from Meta and Microsoft Research building on Meta’s annual Hacker Cup! The most capable LLMs to date will be challenged to solve these questions. We invite major players in the code generation space to join.