Relationship between diff transformer and using a learnable temperature 1/N
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StableDiffusion 3 Image Generation with KerasHub Float16 Inference
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Generating a 1024×1024 image with StableDiffusion 3 in KerasHub, using float16 inference. The `generate` method is compiled, and compilation happens on the first call. The next time you call the model again you will reuse the same compiled function and it will be super fast.
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Getting Started with Meta’s SAM2 on Databricks
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Get started with Meta’s Segment-Anything-Model 2 (SAM2) on Databricks! This #DatabricksCommunity technical post covers experimentation with SAM2 in a Databricks Notebook, expanding on the default examples by using custom notebook cells for visualization. https://
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Claude 3.5 Now Available to All Perplexity Pro Users
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The new Claude 3.5 (released today) by @AnthropicAI
, which is world leading at coding and reasoning, is now available to all Perplexity Pro users! -
Optimizing Tool Retrieval in RAG Systems: A Balanced Approach
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Optimizing Tool Retrieval in RAG Systems: A Balanced Approach – http://
jxnl.co https://
bit.ly/3Bpr4UX
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CopilotKit and LangGraph Integration for Agent UX
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i've been talking a bunch about UX for agents, and copilotkit is working on just that!!
— Harrison Chase (@hwchase17) 22 octobre 2024
excited to seamlessly integrate with them for their launch
langgraph + copilotkit = a delightful combo https://t.co/PxAfOfHU9Hi've been talking a bunch about UX for agents, and copilotkit is working on just that!! excited to seamlessly integrate with them for their launch langgraph + copilotkit = a delightful combo
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New AI Models and Computer Use APIs Launch Excitement
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Excited to start using the new models, and experimenting with the computer use APIs!
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Sonnet 3.5 Integration Improves Hard Evals Performance
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We integrated the latest Sonnet 3.5 model into our codebase and already saw improvements — some of hard evals started passing. Going to start experimenting with the computer use APIs too!
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Meta Lingua: Lightweight Framework for Language Model Training
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We recently released Meta Lingua, a lightweight and self-contained codebase designed to train language models at scale. Lingua is designed for research and uses easy-to-modify @PyTorch components in order to try new architectures, losses, data and more.
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Testing LLM Consistency with Edge Case Generation
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This was a fun weekend project! Generate edge cases with a pretty simple algorithm: 1. Generate two questions that are asking the same thing but worded differently
2. Run those questions through the LLM application
3. Compare the answers – if different, you know one is wrong