"Among the various AI chip startups that seek to challenge Nvidia’s dominance, Tenstorrent has stood out for its team’s bona fides, its novel approach to AI acceleration, its roadmap progress and its expanding ambitions." #ai #startups #tenstorrent
AI
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Guido van Rossum Birthday: Python Creator and Open Source Legacy
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Happy birthday to Python creator Guido van Rossum. The open source language was named after comedy troupe Monty Python: http://
bit.ly/2B8R7h6 -
Human-in-the-loop pause mechanism for AI automation systems
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not currently, could be a future consideration! would desired ux be like "pause and wait for human to ok it"?
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Continuous Improvement in Engineering and Technology Practice
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The Importance of Continuous Improvement https://
planview.com/resources/arti
cles/lkdc-importance-continuous-improvement
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET -
LangChain SQL Chain Intermediate Steps Now Accessible
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Return intermediate steps for SQL chain You can now return and access the intermediate steps of a SQL database chain! This includes the generated SQL query, and the raw sql result Docs: https://
langchain.readthedocs.io/en/latest/modu
les/chains/examples/sqlite.html#return-intermediate-steps
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Cohere AI Wrappers Updates and Conversational Agent Fixes
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And others! Updates to @CohereAI wrappers There were a few updates/fixes to the Cohere wrappers from @ephe_meral and @bair82 Fix to conversational agent
Docs update @zurawiki Expose memory key name in entity memory class -
VectorDB QA Chain Now Supports Max Marginal Relevance Search
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Allowing different types of search in the vector DB chain Previously, the VectorDB QA chain only used similarity search to fetch documents You can now configure this to use `mmr`: max marginal relevance https://
github.com/hwchase17/lang
chain/blob/b9045f7e0df357d608700e91dc3039433f652d61/langchain/chains/vector_db_qa/base.py#L44
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TensorFlow Hub Embeddings Support Added to LangChain
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TensorflowHub embeddings There's now support for another embedding type – Tensorflow Hub embeddings! Ryohei Kuroki Docs: https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/embeddings.html#tensorflowhub
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Enhanced Agent Initialization with Advanced Parameters
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More complete initialization of agents Thanks to @jxnlco you can now more completely initialize agents by specifying `agent_kwargs` This allows for passing of more complex parameters to the agent class https://
github.com/hwchase17/lang
chain/blob/b9045f7e0df357d608700e91dc3039433f652d61/langchain/agents/initialize.py#L17
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LangChain v0.0.75 Release: Agents, Embeddings, SQL Steps
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Another big release! v0.0.75 Pin LangChainHub version (
@roywilliamsiii
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TensorflowHub embeddings (Ryohei Kuroki)
Returning intermediate SQL steps
Better initialization of agents (
@jxnlco
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Using MMR search in the vector DB QA chain And more!