https://github.com/ksm26/function-calling-and-data-extraction-with-llms
Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data usability.
https://github.com/ksm26/function-calling-and-data-extraction-with-llms
advanced-workflows ai-integration custom-functionality customer-service-transcripts data-analysis data-extraction end-to-end-applications function-calling llms natural-language-processing openapi practical-implementation structured-data web-services-integration
Last synced: 6 months ago
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Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data usability.
- Host: GitHub
- URL: https://github.com/ksm26/function-calling-and-data-extraction-with-llms
- Owner: ksm26
- Created: 2024-06-21T12:33:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-29T21:43:41.000Z (over 1 year ago)
- Last Synced: 2024-06-30T02:06:30.160Z (over 1 year ago)
- Topics: advanced-workflows, ai-integration, custom-functionality, customer-service-transcripts, data-analysis, data-extraction, end-to-end-applications, function-calling, llms, natural-language-processing, openapi, practical-implementation, structured-data, web-services-integration
- Language: Jupyter Notebook
- Homepage: https://www.deeplearning.ai/short-courses/function-calling-and-data-extraction-with-llms/
- Size: 1.09 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 [Function-calling and Data Extraction with LLMs](https://www.deeplearning.ai/short-courses/function-calling-and-data-extraction-with-llms/)
💡 Welcome to the "Function-calling and Data Extraction with LLMs" course! The course will equip you with the critical skills for building advanced applications with LLMs.
## Course Summary
In this course, you'll dive into the essentials of function-calling and structured data extraction with LLMs, focusing on practical applications and advanced workflows. Here's what you can expect to learn and experience:
1. 🛠️ **Function-calling**: Learn to extend LLMs with custom capabilities by enabling them to call external functions based on natural language instructions, using NexusRavenV2-13B, an open-source model fine-tuned for function-calling and data extraction.
2. 🔄 **Complex Workflows**: Work with multiple function calls, including parallel and nested calls, to create complex agent workflows where an LLM plans and executes a series of functions to achieve a goal.
3. 🌐 **Web Services Integration**: Use OpenAPI specifications to build function calls that can access web services, enhancing the functionality and reach of your applications.
4. 🗂️ **Structured Data Extraction**: Extract structured data from natural language inputs, enabling real-world data usability for analysis and application.
5. 💾 **End-to-End Application**: Build an application that processes customer service transcripts, generates SQL calls, and stores results in a database, demonstrating the practical implementation of the skills learned.
## Key Points
- 🔌 **Extend LLM Functionality**: Learn to extend LLMs with custom functionality via function-calling, enabling them to perform external function calls.
- 📊 **Data Usability**: Extract structured data from natural language inputs, making real-world data usable for analysis.
- 🛠️ **Practical Implementation**: Build an end-to-end application that processes customer service transcripts using LLMs.
## About the Instructors
🌟 **Jiantao Jiao** is the Co-founder & CEO of Nexusflow and an Assistant Professor of EECS and Statistics at UC Berkeley, bringing extensive expertise in function-calling and data extraction.
🌟 **Venkat Srinivasan** is a Founding Engineer at Nexusflow, specializing in the development of advanced LLM applications.
🔗 To enroll in the course or for further information, visit [deeplearning.ai](https://www.deeplearning.ai/short-courses/).