https://github.com/ksm26/functions-tools-and-agents-with-langchain
Explore Functions, Tools and Agents with LangChain along with LangChain Expression Language
https://github.com/ksm26/functions-tools-and-agents-with-langchain
api-advancements conversational-agents data-extraction data-extraction-and-pre-processing deeplearning-ai function-calling langchain langchain-python large-language-models lcel nlp-machine-learning tool-selection
Last synced: 2 months ago
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Explore Functions, Tools and Agents with LangChain along with LangChain Expression Language
- Host: GitHub
- URL: https://github.com/ksm26/functions-tools-and-agents-with-langchain
- Owner: ksm26
- Created: 2024-02-26T14:47:31.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-04T12:16:05.000Z (about 1 year ago)
- Last Synced: 2024-03-05T12:47:32.664Z (about 1 year ago)
- Topics: api-advancements, conversational-agents, data-extraction, data-extraction-and-pre-processing, deeplearning-ai, function-calling, langchain, langchain-python, large-language-models, lcel, nlp-machine-learning, tool-selection
- Language: Jupyter Notebook
- Homepage: https://www.deeplearning.ai/short-courses/functions-tools-agents-langchain/
- Size: 1.65 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 [Functions, Tools and Agents with LangChain](https://www.deeplearning.ai/short-courses/functions-tools-agents-langchain/)
💻 Welcome to the "Functions, Tools and Agents with LangChain" course! Instructed by Harrison Chase, Co-Founder and CEO at LangChain, this course will keep you updated with the latest advancements in Large Language Models (LLMs) and the libraries supporting them.
**Course Website**: 📚[deeplearning.ai](https://www.deeplearning.ai/short-courses/functions-tools-agents-langchain/)
## Course Summary
In this course, you'll delve into the latest advancements in LLMs and the libraries supporting them. Here's what you can expect to learn and experience:
1. 🛠 **Generating Structured Output**: Learn to generate structured output, including function calls, using LLMs.
2. 💬 **LangChain Expression Language (LCEL)**: Explore LCEL, a new syntax that simplifies customization of chains and agents to build applications.
3. 🔄 **Function Calling for Tagging and Data Extraction**: Apply function calling to tasks like tagging and data extraction.
4. ⚙️ **Tool Selection and Routing**: Understand tool selection and routing using LangChain tools and LLM function calling.
## Key Points
- 🧠 Learn about the most recent advancements in LLM APIs.
- 💬 Use LangChain Expression Language (LCEL), a new syntax to compose and customize chains and agents faster.
- 🛠 Apply these new capabilities by building up a conversational agent.
## About the Instructor
🌟 **Harrison Chase** is the Co-Founder and CEO at LangChain, bringing extensive expertise to guide you through the latest advancements in LLMs.
🔗 To enroll in the course or for further information, visit [deeplearning.ai](https://www.deeplearning.ai/short-courses/).