Retrieval Augmented Generation (RAG) patterns enhances responses by combining information retrieval with ...

AI and NLP have various applications like speech recognition, speech synthesis, and sentiment analysis.

LLMs are trained on vast datasets to understand, predict, and generate natural language content for vario...

Grounding helps ensure AI systems provide accurate, relevant, and contextually appropriate responses.

Deep learning can help tasks like language translation, recommendation systems, and autonomous driving.

SLMs have the ability to run on personal devices with lower computational requirements compared to LLMs.

Embedding data into numeric vectors can improve language understanding, search results, and more accurate...

Learn how prompt engineering helps you get the desired results from Generative AI.

In this video series, build your generative AI fluency and grow your knowledge.