Giter Site home page Giter Site logo

intro_to_llm_agents's Introduction

Neurons Lab Intro to LLM Agents workshop

This is a workshop to introduce the concept of LLM agents and how to build them using the Langchain platform. Hosted by Neurons Lab and led by me, Alex Honchar. The link to the YouTube recording is here.

Run in Google Colab

  1. Planning and reasining Open In Colab
  2. Different types of memories Open In Colab
  3. Various types of tools Open In Colab
  4. Building complete agents Open In Colab

Project setup

You need to install the following libraries in a fresh .venv environment:

! pip install langchain
! pip install -U langchain-community tavily-python
! pip install --upgrade --quiet langchain-openai tavily-python
! pip install beautifulsoup4
! pip install faiss-cpu
! pip install langchainhub
! pip install -U wandb

Then, ensure that you have registered in the following services and got the API key stored in the configuration file:

LLMOps resources used for this tutorial: LangSmith and Weights&Biases.

intro_to_llm_agents's People

Contributors

rachnog avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

intro_to_llm_agents's Issues

Resources not found

Hi, thanks for putting together and sharing this wonderful tutorial....very helpful.

You wrote the @astropomeai tutorial on Tree of Thoughts is used as basis of this exercise but expanded with LLMOps tools. May you share the tree of thoughts prompts you used? I see you saved your sub-prompts in the prompts repository and load them, but they are no longer available.

May you check if these resources can. be made available ?

image

HTTPError: 404 Client Error: Not Found for url: https://api.hub.langchain.com/commits/rachnogstyle/nlw_jan24_cot_step1/?limit=100&offset=0

best, Valentijn

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.