As you can see on the first screenshot, Claude allows uploading exactly the same file. Later on, you can prompt Claude to extract more and more parts out of it chunk by chunk.
LLMS
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Technical limitations of AI model context windows
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This is how it looks currently if you try to upload a file that exceeds the 200k context window. The same would happen if you try to upload it into a project as a knowledge base.
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Anthropic testing reference files to bypass context window limitations
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BREAKING : Anthropic is working on reference files support that potentially will allow users to work with files that are larger than Claude's context window! Disclaimer: This feature is not released yet I only had a chance to play with it now. Why may be a big deal
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Creating Training Data for Llama: Scale and Meta Partnership
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Creating the training data for Llama
— Cerebras (@cerebras) 4 octobre 2024
In this fireside interview, Sophia Luo, a current Greylock Partner and previous Scale Senior PM shares on the long-going Scale and Meta partnerships. She discusses the challenges around creating data to train LLMs like llama, and how this was… pic.twitter.com/adTiAnkQL1Creating the training data for Llama In this fireside interview, Sophia Luo, a current Greylock Partner and previous Scale Senior PM shares on the long-going Scale and Meta partnerships. She discusses the challenges around creating data to train LLMs like llama, and how this was
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Claude’s capability to identify and fix rendering errors in artifacts
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Claude now can try fixing its own rendering errors 👀
— 🚨 AI News | TestingCatalog (@testingcatalog) 4 octobre 2024
Have you seen any? I gave up trying to reproduce w/o using any extra magic 🪄
However, I noticed only now that it shows you console errors inside the artefact 🤯 https://t.co/UvVzhqkphc pic.twitter.com/rJDEw6bAXxClaude now can try fixing its own rendering errors Have you seen any? I gave up trying to reproduce w/o using any extra magic However, I noticed only now that it shows you console errors inside the artefact
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Model2Vec: Distill Fast Models from Sentence Transformers
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GitHub – MinishLab/model2vec: Model2Vec: Distill a Small Fast Model from any Sentence Transformer https://
bit.ly/4dpAdtX
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Allen AI and UW Release Open-Source Multimodal AI Models
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New work from @allen_ai and @UW
: SOTA multimodal AI models that are truly open-source. The authors have open-sourced their full pipeline, including model weights (Molmo), datasets (PixMo), and training code. Excited to have @inkynumbers and team discussing their work here! -
Groq API Business and Next-Gen Chip Strategy Discussion
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We're thrilled to share a recent conversation between @theaustinlyons from @chipstrat & @lifebypixels
, Chief Tech Evangelist. They discuss our API business, "ramp to hardware" model, differentiation from other AI chip startups, our next-gen chip and more. -
Perplexity API for Finance and Compliance Use Cases
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Yep. Seeing a lot of finance and compliance use cases for the Perplexity API. DM me or email me at a (dot) perplexity (dot) ai if you want to use them! The critical difference is that the completions are grounded in web results, so accuracy is much higher, which matters here!