NEW BLOG: How to Fine-Tune Custom Embedding Models Using AutoTrain
Learn:
– what should be the data format
– how to map columns properly
– example datasets
– custom configs
– train locally
– train on hugging face spaces
OPEN SOURCE
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Fine-Tuning Custom Embedding Models with AutoTrain Guide
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Delta Lake DuckDB Integration: Open Source Analytics Database Support
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Delta Lake DuckDB, thanks to Delta Kernel! Join this #DataAISummit session to learn how to bring Delta support to the open source analytical database DuckDB: https://
bit.ly/4a3abL2 Spoiler alert: We'll have some fun demos & benchmarks to showcase the integration -
Mistral AI Introduces Codestral, Its Code Generation Model
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[#Article] Codestral: @MistralAI unveils its first AI code generation model https://actuia.com/actualite/codestral-mistral-ai-devoile-son-premier-modele-dia-de-generation-de-code/
… #AI #ArtificialIntelligence -
Phidata Library for AI Agents Development
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Thanks for sharing Ashpreet Also for the amazing @phidatahq library
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SolarLLM Hackathon in SF: New LLM Version and Layout Analysis
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Join us in SF on 6/1 for our first hackathon with #solarllm's friends @MongoDB , @langchain , @togethercompute
, and @MindsDB . Meet our new #solaremb, Layout Analysis, and #solarllm ver 1.1.2. See you all there! -
Training GPT-3 equivalent models with FineWeb dataset for $500
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GPT-3 model is GPT-2 but trained for longer (300B) tokens and yes on a better dataset. FineWeb is a good dataset, so you can train your own like this. It will cost ~$500. Use -b 32 -t 2048 instead to use the 2048 GPT-3 context length to be accurate.
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Sharing perspectives on open-source AI and LLaMA 3
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Enjoyed sharing my thoughts on open-source AI and LLaMA 3 for today’s @nytimes piece. Thanks @MikeIsaac for including my perspective!
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Mistral AI dominates HF trending with 7B Instruct and Codestral
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@MistralAI holds 3 spots in the top 10 trending models on HF including #1 with 7B Instruct. Congrats for the launch of Codestral, I'm sure it'll get #1 trending very soon! https://
huggingface.co/models -
Contributing sampling functions to Keras random module
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Do you want to open a PR? You can definitely add more sampling functions to `keras.random`