For instance, JAX has considerable benefits to offer, but so far its adoption has lagged behind — simply because it is quite difficult to adopt, and if you have an existing stack, the cost of migration is heavy. Multi-backend Keras solves this.
OPEN SOURCE
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Multi-backend Keras drives innovation without framework monopoly
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As long as there is innovation, there can't be a framework monopoly. I believe multi-backend Keras encourages innovation on the front of low-level frameworks, because it can make new capabilities immediately available to most devs (via a new backend) without requiring a migration
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Modern Columnar Data Format for ML and LLMs in Rust
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Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. https://
bit.ly/3NwSGek #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Pro AI Services: Concerns About Paying OpenAI for Access
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Very curious to see! I haven't gone Pro yet because I don't want it to end up just paying OpenAI. That would really make a difference for me…
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Open Sourcing Implementation Plans Discussion
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That’s lovely! Are you considering open sourcing your implementation?
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LangChain moves experimental chains to separate package
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langchain_experimental In an effort to make langchain leaner, more focused, and safer, we are moving select chains to a separate package on 7/28 Big thanks to folks like @BoazWasserman @OrRaz6 Justin Flick for pushing on the safety part There will be some breaking changes
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SQLDatabaseChain migration to langchain_experimental announced
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In particular, users of the SQLDatabaseChain will need to migrate to `langchain_experimental` Read more about the motivation, and track the progress here: https://
github.com/hwchase17/lang
chain/discussions/8043
… Read about how to migrate here: https://
github.com/hwchase17/lang
chain/blob/master/MIGRATE.md
… Comments, feedback, and questions welcome! -
Build Chat UI for Llama v2 with Context and History
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NEW TUTORIAL ALERT Learn how to build a chat ui for llama v2 (or any llm)! In addition, you will learn how to keep context and history and how to format the query properly for llama v2 chat (or any chat llm). Check out the video here: https://
youtu.be/PE0DQlQItro -
Building semantic search with ChromaDB vector database
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BONUS: Check out how to build a semantics search application using open source vector database ChromaDB Learn in-demand skills to stay ahead in the game
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Meta and Microsoft Launch Next Generation Llama Model
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Meta and Microsoft Introduce the Next Generation of Llama https://
ai.meta.com/blog/llama-2/
#AI #MachineLearning #DeepLearning #LLMs #DataScience