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!
@abhi1thakur
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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 🙂
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LLM, Image Classification, Dreambooth, Tabular Tasks Coming Soon
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llm
text classification
dreambooth
image classification
all kinds of tabular tasks
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AutoTrain Advanced Reaches 100k PyPI Downloads Milestone
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AutoTrain Advanced has crossed 100k pypi downloads in such a short time If you don't know about it yet, its a solution for both coders and non-coders to train machine learning models effortlessly! Check it out now!!! pip install autotrain-advanced
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Deploying GPT-3.5/4 Locally: Cost and Ownership Questions
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okay. leave os and non os. can gpt3.5/4 be deployed for a customer exclusively in their local environment with the weights owned by them? if yes, does it still cost 2usd for a million tokens to them? seriously, apples and oranges!!!
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Comparing Closed vs Open Source Models: Deployment Costs and Fairness
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how can you compare a non open source, non deployable model with an open source model which is deployable? whats the actual cost fpr deploying gpt3.5 or gpt4? i also have a lot of respect for openai but not for comparison of apples and oranges.
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Hugging Face Inference Pro announcement and details
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https://
huggingface.co/blog/inference
-pro
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Next Task or Feature for AutoTrain Advanced
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What should be the next task/feature in AutoTrain Advanced? 🙂