MLX-VLM MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX. pip install mlx-vlm Chat UI with Gradio python -m mlx_vlm.chat_ui –model qnguyen3/nanoLLaVA
TOOLS
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gradio-client-lite: Zero-dependency lightweight Gradio client
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gradio-client-lite A zero-dependency, platform-independent, and lightweight Gradio client. Works on serverless platforms, replica affinity mechanism included. Features
Zero dependencies
Platform-independent
Works on serverless platforms
Includes replica affinity mechanism -
Managing Project Knowledge Bases within Claude’s Context Window
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Your project knowledge base size is limited to Claude's context window. Here is what happens when I upload the same file into a project.
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Claude to introduce one-tap improvement for Artifacts
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Maybe as I started about magic wands, Claude will get it available for artefacts as well. A new button will allow users to ask Claude to improve their artefacts even further with one tap (Still WIP). h/t @btibor91 as well
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The Evolution of AI-Powered IDEs: Cursor vs. Future Claude Desktop
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Why everyone wants Cursor to be killed? It may be a good addition/replacement for low code. Cursor is still a full-featured IDE. But! If Claude gets a desktop app which is made as an IDE it will be very different.
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Practical tip for processing large files with Claude
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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.
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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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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