Detailed description of how to implement LLama from scratch! V/ @theomitsa https://
blog.briankitano.com/llama-from-scr
atch/?s=09
… #OPENAI #GenerativeAI #LLM #ChatGPT #LLM #DataScientist #Tech #BigData #Analytics #innovation #Crypto #MachineLearning #TensorFlow #coding #IoT #100DaysOfCode #NodeJS
OPEN SOURCE
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Implementing LLama from Scratch: Complete Technical Guide
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Anyscale Team Shares Guide on Fine-Tuning Llama 2
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Great read from the team at @anyscalecompute on fine-tuning Llama 2.
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List of Open Source Language Models for Commercial Use
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GitHub – eugeneyan/open-llms: A list of open LLMs available for commercial use.
https://bit.ly/3MG7VRA #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Open Source Scaling: When Reach Doesn’t Equal Contribution
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Which better reach/scale does NOT translate into "contributing more." So it's a downward spiral that leaves the code creator worse off (and, ultimately, everyone worse off). But…community! Sure, point to PG, K8s, and Linux. Not many other big examples to use, unfortunately.
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Elastic’s License Change Accelerates Cloud Partnerships
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Which says as much about the base they're growing off than it does about the license. Regardless, I'm not here to defend Elastic's decision. I can say that it doesn't seem to have slowed us and it has *absolutely* accelerated our partnership with the clouds.
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Unified codebase leveraging best features across ML frameworks
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Yes, and also: just get the best of each ecosystem. Want to debug in the PyTorch runtime? Sure, you get that. But need to also deploy via TFLite? Sure, you can do both. Want to speed up your code via JAX? Sure, you can. All with one codebase.
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Quantum Village Hackathon Draws Standing Room Crowd
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Standing room only in the @quantum_village
. Every seat filled, every inch of floor space has someone sitting. Walls lined with people standing, all enthralled with what @LargeCardinal and @V__Wave coordinated for the hacker community. -
Python AI Development on Replit with PSF Support
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Shoutout to @ThePSF – we and AI builders love you! If you want to get started with Python on Replit, fork the template and try it out:
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Tinygrad Deep Learning Framework AMD Support Discussion
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Oh interesting, I know tinygrad (the DL framework)! Wait, so it does support AMD or is it in the works? Also, is this going to be without ROCm then?
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Open Source AI Models: Predictability as Key Advantage
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But it's adding a new layer to the discussion around the benefits of open source models. In addition to the usual stuff—latency, cost, privacy—they're increasingly attractive because they're just predictable.