@coyotespike added a Bash utility (a wrapper on subprocess) He then also added a chain to convert natural language to a bash command. Very useful for interacting with the terminal! See the example here: https://
langchain.readthedocs.io/en/latest/exam
ples/chains/llm_bash.html
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AI
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LangChain Adds Bash Utility and Natural Language to Command Chain
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LangChain 0.0.31 Release: New Agents, Bash, and Chains
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LangChain version 0.0.31 @johnvmcdonnell fixed how Agents handle a missing tool (so no longer errors) Bash utility and a LLMBashChain (
@coyotespike
) a generic transformation chain (
@AkashSamant4
) a requests chain (
@BruceHammer
) on these additions: -
Agents Now Self-Correct When Selecting Non-Existent Tools
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Previously, if an LLM chose to use a tool that did not exist the Agent would throw an error @johnvmcdonnell changed it so now we tell the agent that tool does not exist and let it self correct… just one step towards making them smarter
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NVIDIA and Deutsche Bank Partnership: AI Innovation for Banking
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We announced details of a multi-year innovation partnership with @DeutscheBank
, including use cases across intelligent avatars, speech #AI, fraud detection, and risk management to reduce TCO up to 80%. -
ICLR 2023 Journal-to-Conference Track Submission Deadline
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If you've published a JMLR paper since the beginning of 2022 and would like to present it at ICLR 2023, remember that the deadline to submit a request to present at the Journal-to-Conference track is January 13th 2023! More info here: https://
iclr.cc/public/Journal
ToConference
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AI crossing from helpful to problematic articulated clearly
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Yes!! You put into words something I’ve been struggling to articulate about when AI crosses over from helpful to problematic.
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Cerebras VP Discusses Next-Generation AI Applications at Summit
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Cerebras VP of Product Andy Hock will be at the AI Summit NY. Attend his panel discussion on driving next-generation AI applications today at 3:20 PM ET
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Seeking thoughts on LLM applications and similar features
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I’d love to hear other people’s thoughts on this—and whether there are other applications of large language models that have similar features.
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Cautious approach needed: training data privacy considerations
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The conditions necessitate a cautious approach. Plus, the training data isn’t the personal or private information of individuals.
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LaTeX notation request substantially improves math reasoning
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Anecdotally, its math reasoning (excl. arithmetic calculation) improves substantially when you request LaTeX notation.