In the realm of natural language processing (NLP), the concept of embeddings plays a pivotal role. It is a technique that converts words, sentences, or even entire documents into numerical vectors.

If you are interested in learning more about AI embedding is and how they can be used, this guide aims to provide a comprehensive yet concise overview of AI embeddings, their applications, and how to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

With demand for enterprise retrieval augmented generation (RAG) on the rise, the opportunity is ripe for model providers to offer their take on embedding models. French AI company Mistral threw its ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI, the artificial intelligence research company, announced on ...

OpenAI has released new models, including an updated GPT-4 Turbo preview model, and it has dropped the price for GPT-3.5 Turbo application programming interface (API) access. The company has also ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Ocrolus, a key player focused on AI-driven document automation for faster and more accurate lending decisions, announced it has integrated GPT embeddings from OpenAI into its set of technologies. The ...