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Lance Martin Profile picture
@RLanceMartin
Aug 25 • 14 tweets • 6 min read Twitter logo Read on Twitter
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Check out these new guides for 13 popular LLM use-cases. Part of a major community effort to improve the @LangChainAI docs + add CoLabs prototyping.

1/13: Open source LLMs
How to use many open source LLMs on your device
python.langchain.com/docs/guides/lo…
Image
2/13: Agents
How to quickly test various types of agents
python.langchain.com/docs/use_cases…
Image
3/13: RAG (retrieval augmented generation)
How to do RAG at multiple levels of abstraction
python.langchain.com/docs/use_cases…
Image
4/13: Fine-tuning
How to fine tune LLMs (gpt-3.5, LLaMA, etc)
blog.langchain.dev/using-langsmit…
Image
5/13: Private RAG
How to do RAG w/ local LLM/embeddings/vectorstore
python.langchain.com/docs/use_cases…
6/13: Web scraping
How to do web scraping / research w/ LLMs
python.langchain.com/docs/use_cases…
Image
7/13: Summarization
How to summarize small or large docs w/ LLMs
python.langchain.com/docs/use_cases…
Image
8/13: Tagging
How to annotate/tag content w/ LLMs
python.langchain.com/docs/use_cases…
Image
9/13: Text-to-SQL
How to interact w/ SQL DBs using LLMs
python.langchain.com/docs/use_cases…
Image
10/13: Extraction
How to extract structured output from LLMs
python.langchain.com/docs/use_cases…
Image
11/13: Code understanding
How to perform QA on code bases w/ LLMs
python.langchain.com/docs/use_cases…
Image
12/13: Chatbots
How to build LLM-powered chatbots
python.langchain.com/docs/use_cases…
Image
13/13: APIs
How to connect LLMs w/ external APIs
python.langchain.com/docs/use_cases…
Image
All include LangSmith traces to visualize what is going on under the hood (chain information flow + prompts) + most include CoLab notebooks for prototyping.

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More from @RLanceMartin

Lance Martin Profile picture
Aug 23
GPT-3.5 and LLaMA2 fine-tuning guides 🪄

Considering LLM fine-tuning? Here's two new CoLab guides for fine-tuning GPT-3.5 & LLaMA2 on your data using LangSmith for dataset management and eval. We also share our lessons learned in a blog post here:

blog.langchain.dev/using-langsmit…
Image
... 1/ When to fine-tune? Fine-tuning is not advised for teaching an LLM new knowledge (see references from @OpenAI and others in our blog post). It's best for tasks (e.g., extraction) focused on "form, not facts":
anyscale.com/blog/fine-tuni…
... 2/ With this in mind, we fine-tuned LLaMA-7b-chat & GPT-3.5-turbo for knowledge graph triple extraction (see details in blog post and CoLab). Notebooks here:
LLaMA CoLab:
GPT-3.5-turbo CoLab:

colab.research.google.com/drive/1tpywvzw…
colab.research.google.com/drive/1YCyDHPS…
Read 9 tweets
Lance Martin Profile picture
Aug 12
Code understanding 🖥️🧠

LLMs excel at code analysis / completion (e.g., Co-Pilot, Code Interpreter, etc). Part 6 of our initiative to improve @LangChainAI docs covers code analysis, building on contributions of @cristobal_dev + others:
https://t.co/2DsxdjbYeypython.langchain.com/docs/use_cases…
Image
1/ Copilot and related tools (e.g., @codeiumdev) have dramatically accelerated dev productivity and shown that LLMs excel at code understanding / completion
2/ But, RAG for QA/chat on codebases is challenging b/c text splitters may break up elements (e.g., fxns, classes) and fail to preserve context about which element each code chunk comes from.
Read 6 tweets
Lance Martin Profile picture
Aug 8
Text-to-SQL 📒

LLMs unlock a natural language interface with structured data. Part 4 of our initiative to improve @LangChainAI docs shows how to use LLMs to write / execute SQL queries w/ chains and agents. Thanks @manuelsoria_ for work on the docs:
https://t.co/CyOqp5I3TMpython.langchain.com/docs/use_cases…
Image
1/ Text-to-SQL is an excellent LLM use-case: many ppl can describe what they want in natural language, but have difficultly mapping that to a specific SQL queries. LLMs can bridge this gap, e.g., see:
https://t.co/b0NMkHPe9xarxiv.org/pdf/2204.00498…
Image
2/ create_sql_query_chain( ) maps from natural language to a SQL query: pass the question and the database into the chain, and get SQL out. Run the query on the database easily: Image
Read 8 tweets
Lance Martin Profile picture
Aug 5
Extraction 📚➡️🗒️

Getting structured LLM output is hard! Part 3 of our initiative to improve @LangChainAI docs covers this w/ functions and parsers (see @GoogleColab ntbk). Thanks to @fpingham for improving the docs on this:

https://t.co/bMjFmCSZM3python.langchain.com/docs/use_cases…
Image
1/ Getting LLMs to produce structured (e.g., JSON) output is challenge, often requiring tedious prompt eng:
2/ Functions (e.g., using OpenAI models) have been a great way to tackle this problem, as shown by the work of @jxnlco and others. LLM calls a function and returns output that follows a specified schema.
wandb.ai/jxnlco/functio…
Read 10 tweets
Lance Martin Profile picture
Aug 3
LLM Use Case: Summarization 📚🧠

We've kicked off a community driven effort to improve @LangChainAI docs, starting w/ popular use cases. Here is the new use case doc on Summarization w/ @GoogleColab notebook for easy testing ...
https://t.co/e6QYl8pEsHpython.langchain.com/docs/use_cases…
Image
1/ Context window stuffing: adding full documents into LLM context window for summarization is easiest approach and increasingly feasible as LLMs (e.g., @AnthropicAI Claude w/ 100k token window) get larger context windows (e.g., fits hundreds of pages).
https://t.co/aClREUqtPd
Image
2/ Embed-cluster-sample: @GregKamradt demod a cool approach w/ @LangChainAI to chunk, embed, cluster, and sample representative chunks that are passed to the LLM context window. A nice approach to save cost by reducing tokens sent to the LLM.
Read 6 tweets
Lance Martin Profile picture
Aug 2
Recent updates @LangChainAI data ecosystem 🦜⛓️: 3 new loaders, 2 new storage options, new loader / retriever for web research ... Image
... great addition from @RubenBarraganP that connects files in @Dropbox to the LangChain ecosystem:


... similarly, @Huawei unstructured data storage can be connected:
https://t.co/Ir3HLgtgAgpython.langchain.com/docs/integrati…
python.langchain.com/docs/integrati…
... there's a new loader for etherscan transactions. Folks like @punk9059 may have a pulse on applications w/in the larger crypto community. Always interesting to learn about:
python.langchain.com/docs/integrati…
Read 5 tweets

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