We're still accepting proposals for our LLM Evaluations Grant until this Friday, September 6th — recipients will get $200K in funding to support this work. More details https://
go.fb.me/82ft4d
@aiatmeta
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LLM Evaluations Grant Proposals Open Until September 6th
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Impressive Large-Scale Projects Built with Llama via Together AI
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Always impressed with the big things being built with Llama through Together AI!
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Building Community Together with Llama Developers
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We're building this community together — glad to have you along for the journey and grateful for everything you do for developers building with Llama!
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Meta thanks NVIDIA for supporting Llama ecosystem
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Huge thank you to the @NVIDIA team for everything you do to support the Llama ecosystem!
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Open Source AI Innovation and Flexibility
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This type of innovation and flexibility is what open source AI is about.
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Llama Models Approaching 350M Downloads on Hugging Face
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Open source AI is the way forward and today we're sharing a snapshot of how that's going with the adoption and use of Llama models. Read the full update here https://
go.fb.me/e7odag A few highlights
• Llama is approaching 350M downloads on @HuggingFace
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Transfusion: Multi-Modal Model for Token Prediction and Image Diffusion
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New research paper from Meta FAIR – Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. @violet_zct
, @liliyu_lili and team introduce this recipe for training a multi-modal model over discrete and continuous data. Transfusion combines next token -
NVIDIA NIM Agent Blueprints Enable Enterprise Llama 3.1 405B Deployment
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Announced today, @NVIDIA NIM Agent Blueprints include sample applications, reference code, customization documentation and a Helm chart for deployment — everything enterprises need to build and deploy custom apps using Llama 3.1 405B.
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Cerebras Inference Achieves Record Throughput for Llama 3.1 Models
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Verified by @ArtificialAnlys, @CerebrasSystems Inference is capable of serving Llama 3.1 70B at 450 tokens/sec and Llama 3.1 8B at 1,850 tokens/sec! https://t.co/hCb9MmSvOo
— AI at Meta (@AIatMeta) 27 août 2024Verified by @ArtificialAnlys
, @cerebras Inference is capable of serving Llama 3.1 70B at 450 tokens/sec and Llama 3.1 8B at 1,850 tokens/sec! -
Meta Releases Llama 3.1 with CyberSecEval 3 Trust Safety Research
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As part of the release of Llama 3.1, we also released new trust & safety research including CyberSecEval 3. We've published our research on this work to continue the conversation on empirically measuring LLM cybersecurity risks & capabilities. Paper https://
go.fb.me/yv32a9