With Llama 3.1 we’ve also released a new reference system that includes several sample agentic applications to accelerate the responsible development of new and innovative applications These applications are open source and can be used by the community as a platform to build
LLMS
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Access Latest Llama 3.1 Models Now Available
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First thing’s first, get access to all of the latest Llama 3.1 models https://
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Access Llama Code and Training Recipes on GitHub
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Want to access the code, new training recipes and more? Check out the official Llama repo on GitHub https://
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Llama 3 Models Technical Details and Training Information
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For more technical details on what our latest Llama 3 models are capable of and how they were trained, you can find the model card here https://
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Llama 3.1 Resources Available to Get Started
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Ready to start working with Llama 3.1? Here are a few new resources from the Llama team to help you get started.
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Model Commoditization Shifts Market Focus to Cost-Quality Trade-offs
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Agree. As models get commoditized, they all kind of start looking similar. Once they exceed the quality bar for production, I don't think people care that much after (becomes a simple cost-quality trade off — give me the cheapest that meets my bar).
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Federated Learning Course for LLM Training with Privacy
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Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with @flwrlabs and taught by @daniel_janes and @niclane7.… pic.twitter.com/K3eJY33lye
— Andrew Ng (@AndrewYNg) 24 juillet 2024Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with @flwrlabs and taught by @daniel_janes and @niclane7
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LLMs Reaching LHC-Level Complexity in Infrastructure and Development
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LLMs as an artifact are trending to the complexity of something like the LHC. This is clear when you look at the datacenter computronium build out but it's a lot more than that – a large chunk is digital and much harder to see/appreciate, it's just a bunch of people on a laptop.
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Large Models Generate Synthetic Data for Smaller Model Training
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This is going to be the most impactful piece — enabling everyone to use a large model to create synthetic data to train performant smaller ones.
