AI Context Augmentation
Roy explains how adding context to language models through retrieval augmented generation can enhance results. By leveraging vector databases and semantic search, companies can tailor AI to their specific needs, even if it involves complex processes.In this clip
From this podcast
Beyond Coding Podcast
AI in Software Development | Roy Derks | Beyond Coding Podcast #159
Related Questions
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode Vector Databases and the Power of RAG?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode Building LLM-Based Applications with Azure OpenAI with Jay Emery?