Exploring Large Language Models (LLMs) and Embeddings

Large Language Models (LLMs) have revolutionized the field of natural language processing, enabling impressive advancements in tasks such as text generation, sentiment analysis, and language understanding. This portfolio of notebooks aims to explore the capabilities of LLMs and text embeddings through practical implementations and insightful analyses.

Table of Contents

• Embeddings
  • Understanding Embeddings
  • Semantic Search
  • Near duplicate detection
  • Question and answering
  • Embedding Bias and Fairness
  • History of embeddings
  • Multimodal embeddings