Introducing Vector Search Similarity Capabilities in Azure Cache for Redis Enterprise
The latest wave of generative AI, like large language models, has paved the way for significant advancements in the utilization of vector embeddings and vector similarity search. Large language models, such as OpenAI's GPT, are capable of learning complex patterns and representations from vast amounts of text, enabling them to generate rich semantic embeddings for words, sentences, and documents. By leveraging these learned embeddings, developers can now harness the power of vector similarity search, revolutionizing the way information is organized, retrieved, and analyzed in various domains, including fraud detection, recommendation systems, and information retrieval.Study guide: GitHub Actions certification
Have you heard about the GitHub Actions certification? This credential validates your expertise in using GitHub Actions to automate workflows. In this study guide, you’ll learn everything you need to know to prepare for the certification and demonstrate your skills effectively.
