@awnihannun is this something MLX would be good for fine tuning?
MACHINE LEARNING
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MLX Fine-tuning and GGUF Conversion on macOS
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Well thank you both! I’d like to document something for folks to follow along with, so what would you recommend for python and macOS? MLX for fine tuning? And I’ll need gguf iiuc?
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Project Incorporates PlanSearch Ideas
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Also see this project from @asankhaya
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Comparing ML and Theory Conference Review Workload Differences
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All of the above. Contrast:
ML conf – 6 papers to review, written in a rush, often of tangential interest. Repeat 3x/yr
Theory conf – 3 papers to review *max*, generally long technical papers that couldn't be rushed, and I am an expert in every paper I review. Repeat 1-3x/yr 1/2 -
Differences Between Theory CS and ML Conferences
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The difference between theory CS and ML conferences.
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Light Fine-Tuning and Reflection Techniques in AI Development
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It's a similar idea with light fine-tuning on top. But even reflexion wasn't a new idea back then
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PlanSearch: New SOTA Test-Time Compute Method for Code
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New SOTA test-time compute result from Scale SEAL We are releasing a new SOTA test-time compute method called PlanSearch. It meaningfully outperforms existing approaches on LiveCodeBench via a new diversity-based search method See more about our SEAL open research below: https://
x.com/hughbzhang/sta
/hughbzhang/status/1832079839840575705
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Link to the Reflection-Llama-3.1-70B model on the Hub
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Check it out on the Hub -> https://
huggingface.co/mattshumer/Ref
lection-Llama-3.1-70B
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