A brand new AutoTrain UI just dropped! Now it's super duper easy to finetune LLMs, text classification models, image classification models, dreambooth lora, seq2seq and even tabular models! Powered by Hugging Face Spaces backend, the models take only a few seconds to load, so
@abhi1thakur
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DPO Training Now Available in AutoTrain Advanced
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Want to train your own zephyr-like model or want to improve on it! Good News! DPO Training just landed in AutoTrain Advanced. Now train your own custom DPO models without writing a single line of code
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Popular ML Demoing Tool Banned From Major Competition Platform
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Weird if the most famous demoing tools for machine learning engineers and data scientists gets banned by the largest platform for data science and machine learning comptitions 🤷🏽 https://t.co/dflIesp2CB
— abhishek (@abhi1thakur) 29 octobre 2023Weird if the most famous demoing tools for machine learning engineers and data scientists gets banned by the largest platform for data science and machine learning comptitions
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Fine-tuning models with AutoTrain Advanced now available
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And you can already fine tune it using AutoTrain Advanced
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Training State-of-the-Art LLM with AutoTrain Advanced
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Training state of the art LLM model with experiment tracking using weights & biases without writing a single line of code with AutoTrain Advanced
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LLM Growth: From Zero in January to 2000 Today
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In January no LLMs. Today 2k øn hf llm lb. so yeah , i cant define soon
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LLMs Ready Now: Search Quality Matters Most for RAG
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I think LLMs are already there. Even the 7b ones. For RAG, the most important thing is search. The better your search is, the better the results. Totally my observation and opinion based on that.
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State of the Art Constantly Evolves and Changes
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The funny thing about state of the art is, it always keeps changing
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Small LLMs Poised to Outperform State-of-the-Art Models Soon
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My bet is on 10-15b param (maybe even smaller) LLM models outperforming all state of the art soon. Everyone will be able to run them locally for free. WDYT?