Explore the surge in interest for vector databases, which are essential for storing and querying unstructured data. These databases are now crucial for enhancing the functionality of Large Language Models (LLMs) by embedding unstructured data into high-dimensional vectors. Learn how AssemblyAI's LeMUR framework simplifies building LLM apps on audio data, and how vector databases avoid the need for costly and complex fine-tuning of LLMs.
Table of contents
Build LLM apps on audio data with AssemblyAI LeMURWhy Vector Databases?What made Vector databases so special almost overnight?The problemThe solutionVector databases with LLMsConcluding remarkAre you overwhelmed with the amount of information in ML/DS?Sort: