A simple recipe for model error analysis https://
bit.ly/3XN0SuM
#AI #MachineLearning #DeepLearning #LLMs #DataScience
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Simple recipe for model error analysis in machine learning
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Fast AI Inference with SambaNova Cloud and Llama 3.2
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Why is fast #inference so exciting?
— SambaNova (@SambaNovaAI) 29 octobre 2024
🎥 @aton2006, shares the value of fast #inference.
With SambaNova Cloud, #devs can start building with lightning-fast AI inference on @AIatMeta's Llama 3.2 💻
Start developing ⤵️https://t.co/zm6RCXY00nWhy is fast #inference so exciting? @aton2006
, shares the value of fast #inference. With SambaNova Cloud, #devs can start building with lightning-fast AI inference on @AIatMeta
's Llama 3.2 Start developing http://
cloud.sambanova.ai -
GitHub Copilot Integration Enables Real-Time Library Updates
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We're excited to partner with @github. With our GitHub Copilot integration, you will be able to:
— Perplexity (@perplexity_ai) 29 octobre 2024
• Stay up to date on the latest Library updates, like “latest updates in React”
• Quickly find answers to any question, like “how to build a server side component?”
• Access… pic.twitter.com/QCTKcD8mJ8We're excited to partner with @github
. With our GitHub Copilot integration, you will be able to: • Stay up to date on the latest Library updates, like “latest updates in React”
• Quickly find answers to any question, like “how to build a server side component?”
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Perplexity AI GitHub Copilot Integration Now Available
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Both Perplexity and GitHub Copilot users can install the integration for free via the GitHub Marketplace: https://
github.com/marketplace/pe
rplexityai
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Cursor with Sonnet 3.5 Remains Top Choice for Lex Fridman
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Awesome! Cursor (with Sonnet 3.5) still wins for me, but I'm keep a close eye on it.
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MCTS Sampling Technique Shows Promise in Language Models
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I wrote it because I was playing with MCTS sampling back then. It was super slow and I didn't run evals to see if it actually performed better, but cool to see it's getting traction now.
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Meta Llama 3.2 Lightning Fast AI Hackathon $10k Prize
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Want your shot at our $10k prize pool?💰
— SambaNova (@SambaNovaAI) 29 octobre 2024
Build with fast AI inferencing on @AIatMeta's Llama 3.2, where you can achieve speeds of 2470 tokens per sec on 1B and 1566 tokens per sec on 3B.
Join our Lightning Fast #AI #Hackathon ⤵️Want your shot at our $10k prize pool? Build with fast AI inferencing on @AIatMeta
's Llama 3.2, where you can achieve speeds of 2470 tokens per sec on 1B and 1566 tokens per sec on 3B. Join our Lightning Fast #AI #Hackathon -
Top-k and Top-p Sampling Strategies for LLMs Explained
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There's been a lot of interest around sampling recently with entropix.
— Maxime Labonne @ ICLR (@maximelabonne) 29 octobre 2024
I just uploaded my first LLM blog post to HF, which talked about top-k and top-p sampling with easy-to-understand visualizations and code.
📝 Article: https://t.co/cgoP59fED4 pic.twitter.com/DJ45ToDtPnThere's been a lot of interest around sampling recently with entropix. I just uploaded my first LLM blog post to HF, which talked about top-k and top-p sampling with easy-to-understand visualizations and code. Article: https://
huggingface.co/blog/mlabonne/
decoding-strategies
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Replit Uses LangGraph and LangSmith for AI Development
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(Replit uses LangGraph and LangSmith to be precise, not LangChain package)