Foundational Models
Exploring the effectiveness of foundational models reveals that many use cases thrive without the need for fine-tuning. Instead, leveraging a search index and relevant data in prompts serves the majority of customers well. For those starting an application, this approach is often the most practical and efficient route to take.In this clip
From this podcast
Data Skeptic
AI Platforms
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 and the clip Model Evaluation Insights?
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 and the clip Model Evaluation Insights?
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 Weaviate Podcast episode with Cohere co-founder Nick Frosst on building LLM apps for business?