No new release today, but some updates to our contributing flow to help with all the interest! Contributing Docs: https://
github.com/hwchase17/lang
chain/blob/master/CONTRIBUTING.md
… Labeled + Improved Issues: https://
github.com/hwchase17/lang
chain/issues
… `contributing` channel in Discord: https://
discord.gg/6adMQxSpJS Let's have fun 🙂
@langchain
-
LangChain Opens Contributing Flow to Growing Community
By
–
-
Language Models Excel at Reasoning and Selection Tasks
By
–
The underlying language model picks one! They’ve gotten really good at reasoning
-
LangChain v0.0.35 Release: Documentation Improvements and New Features
By
–
LangChain v0.0.35 Doc improvements @HunterGerlach Fix typing of parameters, flagged by @fcampeot
Expose more parameters for the q&a chains, suggest by @johnjnay Add a `.clear()` method for memory, @shobith and @andrewgleave Support -1 for max_tokens, @BruceHammer -
LLMs Fact-Checking Themselves Through Prompt Chaining
By
–
@0xjasper came up with a very cool example of LLMs fact checking themselves with prompt chaining. See the original tweet thread below
-
LangChain version 0.0.34: OpenAI moderation and fact checking
By
–
LangChain version 0.0.34 Doc cleanup from `moozilla` (if on twitter lmk!) Support for @OpenAI's moderation endpoint LLMFactChecker chain from @thepromptking, original idea by @0xjasper Some more info on the LLM fact checker chain
-
Simple conversation buffer memory with dynamic N adjustment
By
–
it is pretty simple at the moment – just keeps a buffer of the past N conversations in memory. a pretty simple improvement would be dynamically adjusting N based on the length of the conversations
-
Improving ChatGPT’s Math Abilities with LangChain
By
–
An awesome example improving ChatGPT's much maligned math abilities!
-
Build ChatGPT-like Applications with Official APIs Now
By
–
Tired of using an "unofficial" ChatGPT api? Just use this instead! More seriously: applications like ChatGPT are very possible for anyone to develop NOW. What will you build?
-
LangChain Already Supports Conversation Summary Memory
By
–
we actually support that already! https://
langchain.readthedocs.io/en/latest/gett
ing_started/memory.html#ConversationChain-with-ConversationSummaryMemory
… -
Dynamic conversation context length determination in LangChain
By
–
excited to hear your thoughts/ideas! right now its pretty simple: just take the last N lines of conversation. but a very natural extension to determine N dynamically based on their length