Ps @AlisonGopnik @Moira_Dillon @LakeBrenden have related work comparing infant (and young children’s) physical and causal reasoning to current ML; perhaps they could post links here
AGENTS
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Open Source Chatbot Creation Example Released
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There's been lots of chatbots announced recently Check out for an open source example of how to create one! @brunotorious
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Multi-input Tools with Agents Documentation Improved
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Multi-input tools with agents It wasn't super clear how to use tools that require multiple inputs with agents bryan on discord called this out, and as a result there is improved documentation! https://
langchain.readthedocs.io/en/latest/exam
ples/agents/multi_input_tool.html
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Improved Agent Output Parsing for LLM Integration
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Better parsing of agent output For some agents, the parsing of LLM output to agent action was pretty brittle A few people called this out, but s/o in particular to brandon69 on discord This should be improved, and can now handle things like multi line return values!
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LangChain v0.0.47: Community Updates and Agent Improvements
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v0.0.47 – lots of community initiated changes! Documentation Updates – @GradientAscent8 Easier support for creating vectorstores from many docs – s/o @GradientAscent8 Multi-input tools with agents Better parsing of agent output explanations:
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Baby Robot in GPT-4 Cradle: AI Culture Moment
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“a baby robot in a cradle wearing a t-shirt saying GPT-4”
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AGI Nodes Agents Tokens: Unprecedented Value for Humanity
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$AGI AGI Nodes X AGI Agents X AGI Token The convergence of the #AGINode, the #AGIAgent, and the #AGIToken holds the promise of generating value that is without precedent for Humanity http://
MONTREAL.AI: Winning the #AGI Race #AGIFirst #MontrealAI #QuebecAI -
AI Agents Solution Development Underway with Nodes and Tokens
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Already have the solution being developed #AIAgents #AINodes #AIToken
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LangChain v0.0.46: Memory Bug Fix Enables Agents as Tools
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v0.0.46 ReadMe improvement from @altryne Bug fix for handling of memory, highlighted by @andrewgleave This fix now allows you to use chains & agents *with memory* as tools in other agents!! This means that agents can have much more powerful tools now