Overview
Discover how to integrate LLM technology with Wolfram Language, including leveraging the conversational interface of Chat Notebooks and executing programmatic operations using LLM functions. Modern LLMs enhance traditional computational workflows and enable advanced programming tasks. This course explores various methods for utilizing LLM technology with Wolfram Language, demonstrating the use of Chat Notebooks and showcasing diverse LLM functions. You'll learn to craft both enjoyable and practical LLM prompts, interface with different service providers' LLM models within the Wolfram environment, and employ symbolic tools that can be utilized by LLMs.
Featured Products & Technologies:: Wolfram Language and Wolfram Notebooks (available in Mathematica, Wolfram|One, and Wolfram|Alpha Notebook Edition)
Course Outline
Using Chat Notebooks: Set up Wolfram Chat Notebooks to integrate with an LLM model. Engage in interactive chats with an LLM within a notebook to receive answers to questions and write code.
Adding LLM Functionality to Your Wolfram Workflow: Access LLM models from within Wolfram Language. Utilize built-in functions like LLMSynthesize, LLMFunction, LLMExampleFunction, and more. Examine examples of additional AI-related capabilities.
Engineering Better Prompts: Learn the advantages of prompt engineering and how to fine-tune LLM responses effectively.
Creating New Content and Functionality: Explore the Wolfram Prompt Repository to discover pre-built prompts for "LLM programming." Create and contribute your own prompts.
University: Provided by Wolfram U
Categories: Artificial Intelligence Courses, Prompt Engineering Courses, Wolfram Language Courses
Syllabus
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