gpt4v alternative https://
llava-vl.github.io
OPEN SOURCE
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Open Source Definitions and AI: Critical Issues for UK Future
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Important piece from @AmandaBrockUK on the issues around open source, the importance of definitions, history, emerging issues around AI. Vital for the future of the UK that we get this right. Thank you Amanda and @openuk_uk for leading on this.
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Choosing Open Source LLMs: Ollama and LM Studio Integration
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Which LLM/model? Can I choose from any opensource models? Does this use Ollama or LM Studio for OpenAI compatible API at the backend?
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llm.c Memory Efficiency Advantages Over PyTorch
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If you match the parameters you're actually under-estimating the improvement, because llm.c takes up a lot less space so you can crank up the batch size. I haven't fully dug into why PyTorch takes up that much space, slightly worried I'm doing something wrong but not sure what
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MLX Framework as Optimized Alternative to PyTorch MPS
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I'd have a look at MLX, cc @awnihannun , from some recent chatter I understand it is a lot more optimized that PyTorch mps atm. This would need a re-write of the build-nanogpt code into mlx, but possibly it's not that involved. I'd be happy to accept a PR for mlx clone.
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ChatGPT Artifacts Implementation Already Available on GitHub
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This guy already did it here: https://
github.com/ozgrozer/chatg
pt-artifacts/tree/main
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Running Llama-3 8B with 16GB RAM Using Quantization
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Just an FYI — you can run Llama-3 8B with 16GB of RAM. And there are even quantized versions which lets you run it on even less memory.
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Run Llama-3 Locally with Ollama or LM Studio
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You can do it either by using @ollama or @LMStudioAI
. Have them spin up Llama-3 endpoint locally in OpenAI format, plug that with the frontend created with Calude and you are good to go!! -

Install Clarifai SDK Llama-index Setup Guide Instructions
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Step 1: Install the Clarifai Python SDK, Llama-index, and set your Clarifai Personal Access Token as an environment variable. Sign up for the platform, and you can access the PAT here: https://
clarifai.com/settings/secur
ity
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Build RAG System in 4 Lines Using Clarifai SDK
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You can build a RAG system with just 4 lines of code using @clarifai Python SDK. Below is the entire code. Let's look at it step by step: