SOA Podcasts - Society of Actuaries Emerging Topics Community: LLMs – Separating the Models From the Applications
4 snips
Feb 4, 2025 Dive into the fascinating world of large language models (LLMs) and uncover their complex inner workings. Discover the misconceptions surrounding the accessibility of flagship models from major tech firms. Learn how applications enhance user experiences by managing context and memory. Explore how Retrieval Augmented Generation improves LLM responses with dynamic data. Finally, navigate the intricacies of customizing machine learning models and the implications of AI's transformative power across various industries.
AI Snips
Chapters
Transcript
Episode notes
LLMs and Applications
- Large Language Models (LLMs) are essentially large matrices of numbers.
- Applications act as intermediaries, translating user input into a format understandable by these models.
Accessing LLM Models
- Most companies do not allow direct access to their core LLM matrices.
- Meta is a notable exception, offering their models for download and use.
Applications and Context
- Applications add value by managing context and memory in conversations.
- They format user input and incorporate previous exchanges, creating a coherent interaction with the otherwise memoryless LLMs.