The way this works is you define a `PipelinePrompt` with two components: – FinalPrompt: the final prompt template to be formatted
– PipelinePrompts: a sequence of tuples of (name, PromptTemplate) The `name` argument is how the formatted prompt will be passed to future prompts
@hwchase17
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PipelinePrompt: Sequencing Prompt Templates for AI Workflows
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Pipeline Prompt: Composing Reusable Prompt Pieces Together
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Composable Prompts Wouldn't it be nice if there was a way to compose prompts together, reusing pieces across prompts? In the newest Python and JS release there now is with `Pipeline Prompt`! Links
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GPTeam Deep Dive: Open Source Generative Agents Simulation
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GPTeam Deep Dive GPTeam by @itstimconnors and team is a fully OSS project building off of @joon_s_pk
's "Generative Agents" paper Vey excited to share a guest blog post be him, going into great detail as to how they build the complex simulation -
Human Validation for Safe LLM Tool Integration
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Human-in-the-loop Tool Validation LLMs can become dangerous when hooked up to tools To help safeguard against this you can require human validation before the tool is run (or run in certain ways) https://
python.langchain.com/en/latest/modu
les/agents/tools/human_approval.html
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Core Stability vs Experimental Features in Software Development
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the core stuff is and will be even. some of the integrations wont be, and some of the experimental stuff wont be
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Quivr: Second Brain AI Project Deep Dive with LangChain
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One of my favorite recent projects is Quivr by @_StanGirard – "your second brain", which utilizes LangChain to store and retrieve unstructured information On the next @langchain Webinar we will try a new format – a deep dive on Quivr. Join us!
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New LangChain Weekly Newsletter Recaps Projects News
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If you liked @sbusso
's GitHub repo of "Awesome LangChain projects"…. then you'll love his new weekly newsletter recapping all the awesome LangChain projects/related news that happened that week! https://
awesomelangchain.substack.com -
LangChain SF Meetup: Open Source LLMs Focus
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Lots of excitement around open source LLMs. VERY excited to announce our next @langchain meetup in SF will be focused on exactly that! Excited to be joined by @MichelTricot @lm_zheng @robertnishihara and @charles_irl for some fun presentations
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LangChain Connects LLMs to Structured Data: Options Explored
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Had a blast at @MindsDB conference yesterday – thanks @paxcema and and Jorge Talked a bit about how @langchain can help connect LLMs to your structured data and different options – embed it, query it, chains, agents, combinations Slides here:
