
Tengyu Ma on Voyage AI - Weaviate Podcast #91!
Weaviate Podcast
Exploring the Intricacies of Embedding Code with Text
This chapter delves into the multi-dimensional nature of embedding code with text, discussing aspects such as functionality, programming language, and contextual information. It explores methods to compare vector embeddings, emphasizing L2 distance and techniques like prompt addition and model rotation for optimal similarity assessment. The discussion also covers the concept of multi-vectors and embeddings in AI models, examining the benefits and challenges of utilizing multiple embeddings for various tokens and the evolution of models like Covert and Voyage AI.
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