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The course will equip you with the critical skills for building advanced applications with LLMs.\n\n## Course Summary\nIn 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:\n\n1. 🛠️ **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.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l1_2.png\" height=\"450\"\u003e\n\u003c/p\u003e\n\n2. 🔄 **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.\n3. 🌐 **Web Services Integration**: Use OpenAPI specifications to build function calls that can access web services, enhancing the functionality and reach of your applications.\n4. 🗂️ **Structured Data Extraction**: Extract structured data from natural language inputs, enabling real-world data usability for analysis and application.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l4.png\" height=\"450\"\u003e\n\u003c/p\u003e\n\n5. 💾 **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.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l5_1.png\" height=\"450\"\u003e\n\u003cimg src=\"images/l5_2.png\" height=\"450\"\u003e\n\u003c/p\u003e\n\n## Key Points\n- 🔌 **Extend LLM Functionality**: Learn to extend LLMs with custom functionality via function-calling, enabling them to perform external function calls.\n- 📊 **Data Usability**: Extract structured data from natural language inputs, making real-world data usable for analysis.\n- 🛠️ **Practical Implementation**: Build an end-to-end application that processes customer service transcripts using LLMs.\n\n## About the Instructors\n🌟 **Jiantao Jiao** is the Co-founder \u0026 CEO of Nexusflow and an Assistant Professor of EECS and Statistics at UC Berkeley, bringing extensive expertise in function-calling and data extraction.\n\n🌟 **Venkat Srinivasan** is a Founding Engineer at Nexusflow, specializing in the development of advanced LLM applications.\n\n🔗 To enroll in the course or for further information, visit [deeplearning.ai](https://www.deeplearning.ai/short-courses/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksm26%2Ffunction-calling-and-data-extraction-with-llms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fksm26%2Ffunction-calling-and-data-extraction-with-llms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksm26%2Ffunction-calling-and-data-extraction-with-llms/lists"}