A lot of agent toolkits were mostly designed to work with normal LLMs, not chat models But chat models are newer, faster, and generally better We're working on making all our agent toolkits usable with these chat models, s/o @fpingham for doing the first four!
@hwchase17
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Finetuning Open Source Models for Tool Use Webinar
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Don't let all the OpenAI `functions` distract you from the fact we've got an amazing webinar starting in an hour focused on open source models with @nomic_ai (GPT4ALL) and @MosaicML Can we finetune those models for tool use? Let's find out!
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LangChain SQL chains versus agents: comparative analysis
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we have both in langchain, often for the same purpose! eg SQL chain vs SQL agent pros and cons to each
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Chains vs Agents: Deterministic vs Nondeterministic AI Systems
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assuming im understanding you correctly, this is me is the difference between "chains" and "agents" (at least as far as how I think about them) chains = deterministic sequence of steps = code shell
agents = nondeterministic sequence of steps = llm shell -
New AI Functionality Unlocked: Day Zero Launch
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you can tell from the lack of proper grammar that its been a long day Big s/o to @veryboldbagel and @nfcampos but its only day zero! Looking forward to seeing what new functionality this unlocks
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OpenAI Functions Release: LangChain Support for Chat Models
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Emergency OpenAI Functions Release `pip install langchain==0.0.199` Support for functions in chat model wrapper Convert @langchain tools to functions Docs: https://
github.com/hwchase17/lang
chain/blob/master/docs/modules/agents/tools/tools_as_openai_functions.ipynb
… Next up… I think its time for a new type of agent -
Open Source LLMs Webinar with Nomic AI and MosaicML
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Open source LLMs have been on lately We're excited to do a webinar focused on them with two of the companies leading the charge: @nomic_ai (creators of GPT4all) @MosaicML (creators of MPT-7B and others) This Wednesday, 9-10am PST
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Semantic Search Edge Cases and LangChain Mitigation Methods
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I participated in a fun webinar with @zilliz_universe on Thursday where I talked about retrieval We did a deep dive on edge cases that arise with semantic search, and methods in LangChain to mitigate those Here are the slides: https://
docs.google.com/presentation/d
/1NHWOLnaA6qhwus3JbluBk7aN1HeKrobZuaRNEdEZSkU/edit?usp=sharing
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Building Quivr: AI-Powered Document Question Answering System
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"Have fun and build" – @_StanGirard An awesome deep-dive on what it takes to build @quivr_brain – a service that can answer questions about any documents you upload Some fun viewing for a Friday afternoon 🙂