Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
OPEN SOURCE
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Hugging Face Idefics2: 8B Vision-Language Model Revolution
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Hugging Face Presents Idefics2: An 8B Vision-Language Model Revolution: Hugging Face’s latest offering, Idefics2 heralds a new era in multimodal AI models. With enhanced… https://
analyticsvidhya.com/blog/2024/04/h
ugging-face-presents-idefics-a-vision-language-model-revolution/?utm_source=dlvr.it&utm_medium=twitter
… #DataAnalytics #DataScience #DataDriven #CTO #IoT #AI #ITDirector #BigDataAnalytics -
Enterprise AI Models: Evaluation, Curation and Adaptation Insights
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Stay in the know! Get fast insights on the near future of enterprise AI with experts from Meta and Snorkel AI. Watch the full discussion to get: actionable tips on the evaluation, curation, and adaptation of models how to get the most value from your open-source
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Keras 3 Simplifies Model Parallelism Configuration
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Every other model parallelism API I've seen has partitioning annotations in-lined in the model code and uses custom training logic — making it challenging to modify and maintain the partitioning config. Keras 3 dramatically simplifies this.
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Keras 3 JAX Enables Efficient Distributed Model Training
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Keras 3 + JAX makes it possible to efficiently distribute large models via both data parallelism and model parallelism (variable partitioning) across arbitrarily many devices. It doesn't require modifying your model code or your training code at all — all you need is to
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Fine-Tuning Custom Embedding Models with AutoTrain Guide
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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 -
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