So far all the chains/agents in LangChain have been stateless, meaning each interaction is independent This is far from ideal for some real world settings (eg chatbots) where you want the chain/agent to remember previous conversations
LLMS
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ConversationChain and Memory Module in LangChain
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This past Friday @sjwhitmore added the very cool ConversationChain As part of doing this, she also added the concept of a Memory module. Here's what that is and why it's useful, :
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Pre-trained Language Models Essential for Agent Communication
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If AZ cannot rely on a pre-trained LM to communicate, it is impossible (there is no reason the model learns with self play to communicate with valid sentences). Other issue will of course be the infinite action space (which we also had in theorem proving) but this is manageable
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LangChain Open Source Demos and Projects Featured on GitHub
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We’re going to assembling a list of open source demos/projects that use LangChain and feature then on our GitHub. Which ones should we include?
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LangChain Demo Showcasing Prompt Templates LLM Chains
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Very cool demo that is also a great showcase for using LangChain’s prompt templates, LLM wrapper, and chains
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LLM Interactions Beyond Prompts: Integration with Tools and Systems
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Yeah it’s really not limited to prompts talking to eachother, but rather any interactions between an LLM and other things (whether that be another prompt, or a python REPL, or anything)
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LangChain 0.0.21: Memory, Conversational Chain, and Improvements
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LangChain version 0.0.21 Added in Memory abstraction (
@sjwhitmore
) Conversational chain (
@sjwhitmore
) Method for adding examples to ExampleSelector class (
@sjwhitmore
) Bug fix for search class Support for all params in the OpenAI wrapper -
LangChain Overview by Shubham Saboo Appreciated
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A good overview of LangChain by @Saboo_Shubham_ ! Thanks for the write up 🙂
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Old NLP Experts Underestimate Language Models’ Capabilities
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Some old-time NLPers can be closed minded about the "range of tasks" that LMs can do. They are still thinking about LMs through BERT, etc. I rarely see this issue with new-joiners to NLP.
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Recent LangChain Updates and New Features
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A lot of stuff has been added to LangChain recently For a good thread on how we're thinking about it, see the below And of course, check out all the additions at https://
github.com/hwchase17/lang
chain/
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