Integrating LLMs into Wolfram Workflows - Process and Analyze Sustainable Development Data Efficiently

Explore how to leverage the Wolfram technology stack to create powerful workflows that harness the potential of large language models (LLMs) like GPT, Palm, and LLaMA. Learn to process and analyze extensive unstructured data, such as Sustainable Development Goal reports and conference video collections. Discover the tools and options available to Wolfram users, compare methods for accessing LLM outputs, and master techniques for ingesting and processing large volumes of unstructured data, including video transcripts and PDFs. Gain insights into interfacing LLM models with Wolfram outputs and utilizing all-in-one tools to create content and summaries that maximize the strengths of both internal and external resources. Acquire valuable tips and tricks to enhance your results and streamline your data analysis workflows.

Integrating LLM into Wolfram Workflows: Process and Analyze Sustainable Development Data Efficiently