CODE

–

24 January 2024 23h52

LangGraph for Multi-Agent Workflows We pushed a bunch of examples of using LangGraph to construct multi-agent workflows. These include: Multi-Agent **Collaboration** – having agents work on the same scratchpad of messages Agent **Supervisor** – using and LLM to

→ View original post on X — @localghost

Prompt Design: Elegance Over Complexity in AI Instructions

By

@localghost

–

24 January 2024 21h58

Another analog I've found between prompts and code: The more complex my prompt gets the more skeptical I become about its design. There are elegant phrases that can achieve what you want with fewer words. Often as you get more specific your prompt becomes more prone to failure.

→ View original post on X — @mattlynley

When Data Engineers Review Queries

By

@mattlynley

–

24 January 2024 19h51

Me when the DEs are reviewing queries pic.twitter.com/gaHarXLKY9
— Matthew Lynley (@mattlynley) 24 janvier 2024

Me when the DEs are reviewing queries

SQL Agent Toolkit Updates Enable Natural Language Database Queries

By

–

24 January 2024 19h40

Agent Toolkits: SQL Agents offer a natural language interface over SQL DBs: The agent converts natural language questions to SQL SQL query is executed by the agent
The agent summarizes results from SQL query execution We've recently updated our SQL agent toolkit

Stream Events Method for AI Agents and Complex Chains

By

–

24 January 2024 18h08

Stream Events One of the biggest pain points with agents and other complex chains is streaming – not just of tokens, but of other events. We've added a new `stream_events` method to make this super easy As @waseemhnyc put it recently, you want to stream:
– current step

LangChain QA with RAG and Advanced Retrieval Techniques

By

–

24 January 2024 17h59

two pages id check out: QA with RAG, a page covering lot of different concept related to this use case: https://
python.langchain.com/docs/use_cases
/question_answering/
… Retrieval: a page covering advanced retrieval techniques: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/
…

→ View original post on X — @andrewyng

Automated Testing for LLMOps: CI/CD Best Practices

By

@andrewyng

–

24 January 2024 17h54

New short course on Automated Testing for LLMOps, by @CircleCI's CTO Rob Zuber! This teaches you how to adapt some key ideas from CI (continuous integration), which has been a pillar of efficient software engineering, to building LLM-based applications.

Tweaking an LLM-based app… pic.twitter.com/95kQkbAZsG
— Andrew Ng (@AndrewYNg) 24 janvier 2024

New short course on Automated Testing for LLMOps, by @CircleCI
's CTO Rob Zuber! This teaches you how to adapt some key ideas from CI (continuous integration), which has been a pillar of efficient software engineering, to building LLM-based applications. Tweaking an LLM-based app