Long Llama, a 256k context window open source LLM available on Github: Llama is the Linux of AI language models. You can run this locally, offline on your own machine with the right hardware.
OPEN SOURCE
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WikiVec2Text: Wikipedia Embedding to Text Model Released
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MF-FOOM/wikivec2text: Simple embedding -> text model trained on a small subset of Wikipedia sentences. https://
bit.ly/3Zl4YuD #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Llava Image Chat Support Added to Llama2.ai
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https://t.co/3ZZemXeQjs pic.twitter.com/bAYkUniXwu
— Replicate (@replicate) 12 octobre 2023I just added Llava support to http://
llama2.ai — you can now chat with your images! It's fully open-source and pretty amazing. -
GROOT Builds on MineDojo for Open-Ended Minecraft Learning
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Great to see further work building on MineDojo. Minecraft is the right benchmark to test for open-ended learning. GROOT uses reference videos for instruction following and composes them together. https://t.co/cDgAzp3O0X
— Prof. Anima Anandkumar (@AnimaAnandkumar) 12 octobre 2023Great to see further work building on MineDojo. Minecraft is the right benchmark to test for open-ended learning. GROOT uses reference videos for instruction following and composes them together.
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Building Transformers from Scratch: Concept and Implementation
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Transformer: Concept and code from scratch https://
bit.ly/45YXobu #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Llama-70B Fine-Tuned for Medical AI Outperforms GPT-3.5
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(2/2) We worked with Core42, a G42 company, to preprocess the medical dataset and fine-tune Llama-70B in 1 weekend. No code changes were required, and no infrastructure considerations were needed. This model performs above GPT-3.5 despite being smaller and trained on less data
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AMD Acquires Nod.ai to Strengthen AI Software Capabilities
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@AMD extends its open source AI software capabilities with the acquisition of http://nod.ai https://actuia.com/actualite/amd-etend-ses-capacites-logicielles-ia-open-source-avec-lacquisition-de-nod-ai/ … #AI #artificialintelligence #opensource
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AutoTrain Advanced Enables Reward Model Training with Simple CLI Parameters
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With just a few CLI params, AutoTrain Advanced now lets you train a reward model! ML engineers, rejoice! No-code? No problem! Just pip install autotrain-advanced and let your system work for you!
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Open LLM Leaderboard on Hugging Face
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Open LLM Leaderboard: https://
huggingface.co/spaces/Hugging
FaceH4/open_llm_leaderboard
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Open LLM Leaderboard: Compare Multiple Models with Semicolon Separator
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Now you can search and compare multiple models on the Open LLM leaderboard just by separating multiple queries by a semicolon! Here im comparing meta-llama, mistralai and zephyr 🙂