O'Reilly Media

DECEMBER 12, 2023

What is contained in the model is an enormous set of parameters based on all the content that has been ingested during training, that represents the probability that one word is likely to follow another. Any of these prompts might generate book sales—but whether or not sales result, they will have expanded my knowledge.

AI 103

AI AI LLM Black Box AI 103

AWS Machine Learning Blog

MARCH 14, 2024

There are several use cases where RAG can help improve FM performance: Question answering – RAG models help question answering applications locate and integrate information from documents or knowledge sources to generate high-quality answers. This specializes the model for that particular task.

Generative AI 136

Generative AI Prompt Engineer Prompt Engineering AI 136

Pickl AI

DECEMBER 5, 2024

Retriever The retriever is responsible for identifying and fetching relevant documents or data from an extensive knowledge repository, such as a database or document corpus. This collaboration bridges the gap between static knowledge models and dynamic query resolution, ensuring relevance and fluency.

Natural Language Processing 52

Natural Language Processing Conversational AI Chatbots Artificial Intelligence 52

AWS Machine Learning Blog

JULY 9, 2024

Quantitative reasoning This task determines if, given a question and lengthy documents, the model can perform complex calculations and correctly reason to produce an accurate answer. The questions are written by financial professionals using real-world data and financial knowledge. Get started with Anthropic Claude 3.5

Generative AI 132

Generative AI LLM Machine Learning AI 132