Community Template 2: Sketch-RNN from @Alexis_D_Jacq (
https://
github.com/SakanaAI/AI-Sc
ientist/pull/143
…)
OPEN SOURCE
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Sketch-RNN Community Template from Alexis D Jacq
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Alternative file format proposed for AI model distribution
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Yep i've seen this but I feel like it'd be cleaner to do a distinct file format for this (GGUF is very LLM centric, including metadata etc)
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AI Scientist Community Explores New Frontier Models
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We love watching the community build with The AI Scientist since its release! We have a new community section in our repo and support more recent frontier models: https://
github.com/SakanaAI/AI-Sc
ientist
… Time to highlight awesome topics that people have explored with our system! Thread -
GGUF Equivalent Needed for Diffusers Models
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I kinda wish there was an equivalent to GGUF for Diffusers models DDUF?
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Cohere Releases State-of-Art Multilingual AI Models
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Our research lab, @CohereForAI released a new family of state-of-art multilingual AI models – the culmination of over two years of collaboration with researchers around the world and a series of technical breakthroughs to help close the language gap in AI! https://t.co/z0c2c29NuS
— Cohere (@cohere) 24 octobre 2024Our research lab, @CohereForAI released a new family of state-of-art multilingual AI models – the culmination of over two years of collaboration with researchers around the world and a series of technical breakthroughs to help close the language gap in AI!
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Outlines Algorithms Ported to Rust for Faster Structured Generation
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I've said it before: Structured generation is the future The @dottxtai team has ported its core Outlines algos to rust, which means from now on, structured LLM generation is: – faster
– more robust
– embeddable into any ML software (no need for Python anymore) ^#3 is my -
Install and Configure AutoTrain Advanced for Llama3 8B ORPO Fine-tuning
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$ pip install autotrain-advanced
$ autotrain –config https://
raw.githubusercontent.com/huggingface/au
totrain-advanced/refs/heads/main/configs/llm_finetuning/llama3-8b-orpo.yml
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Keras Longevity: Product-Market Fit Matters More Than Moats
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Keras was there before TensorFlow, and it will still be there long after TensorFlow is dead. As long as a product is able to maintain PmF, it will keep going. If you no longer have PmF, no moat will protect you in the long term. The rest ebbs and flows.
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Keras Celebrates 10 Years with 500K Daily Downloads
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Keras will turn 10 this March. As of late 2024, it's getting downloaded half a million times every day on average. I recently drafted a doc that had a section titled "Keras 2035".