(finally got around to reading in full). Amusing to read so many negative result attempts back to back to incorporate previous papers/ideas (at least in the cramming setting). Like the inline experimental result style. Like the nice code release. Like the "cramming" benchmark.
CODE
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LangChain Apps Moving to Production Support Channel
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Hearing from a few folks that apps built on LangChain are moving into production! If that's the case for you, we'd love to set up a Slack connect channel to offer better support. Fill out the form below and we'll set it up! https://
forms.gle/57d8AmXBYp8PP8
tZA
… If you don't use Slack, DM us -
LangChain Updates: Context Windows, Cohere Support, Bug Fixes
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Other improvements: – Correct context window for davinci-003 :
@wskish – Docs improvements: wunderalbert
– Fix bash util: h/t Marcin in discord
– Add support for arbitrary params to Cohere wrapper: h/t bair82 in discord
– Fix caching bug: @brucehammer -
SQLDatabaseChain improvements with better data understanding
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Improvements to SQL database chain @fpingham with some key improvements to SQLDatabaseChain 1. Optionally include first row in prompt (for better understanding of data) Docs: https://
langchain.readthedocs.io/en/latest/modu
les/chains/examples/sqlite.html#adding-first-row-of-each-table
… 2. Improve default prompt -
LangChain Search Classes Enhanced with Detailed Metadata Results
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More detailed search results @EnricoShippole added a method to the search classes to return more detailed search info: title, snippet, link WebGPT? Google Search: https://
langchain.readthedocs.io/en/latest/modu
les/utils/examples/google_search.html#metadata-results
… Bing Search: https://
langchain.readthedocs.io/en/latest/modu
les/utils/examples/bing_search.html#metadata-results
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Code improvements and agent refactoring for cleaner codebase
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A few code improvements from Amos Ng – Improvement of some tests for debugging purposes
– Refactor of agents to cleanup the base class Both go a long way in keeping a clean codebase -
GPU Support Added for Hugging Face Models in LangChain
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Support for GPUs with @huggingface models Thanks to @parth_29 you can now more easily use GPUs for huggingface pipelines! PR here: https://
github.com/hwchase17/lang
chain/pull/750
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Major Software Release: GPU Support and Tool Decorator Features
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Big weekend release! Too many changes to even try to list in a single tweet But as a teaser: – Support for using GPUs with @huggingface models
– A decorator to easily turn a function into a Tool
– Lots more! -

Tool Decorator Simplifies Agent Function Creation
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Decorator for creating tools Thanks to @jxnlco you can now create a Tool from a function with a simple decorator. Easier than ever to have agents start interacting with arbitrary functions! Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/agents/examples/custom_tools.html#using-the-tool-decorator
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The Impossibility of Parallelizing Boosting
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The Impossibility of Parallelizing Boosting – investigates the possibility of parallelizing boosting. 11 of 11
