Generative AI | News, how-tos, features, reviews, and videos
As more enterprises leave the cloud or express real concern with rising prices, vendors must adapt to retain enterprise customers.
LLMs are powering breakthroughs and efficiencies across industries. When choosing a model, enterprises should consider its intended application, speed, security, cost, language, and ease of use.
The companies replacing their junior developers with AI will be in big trouble when they realize they have no one to become a senior developer.
Haystack is an easy open-source framework for building RAG pipelines and LLM-powered applications, and the foundation for a handy SaaS platform for managing their life cycle.
Microsoft has unveiled the first piece of the Windows Copilot Runtime. We tried it out and had disappointing results, with many bugs and few supported models.
Despite serious dangers, the efficiency benefits of using generative AI tools for programming are all-but-impossible to resist. We need an entirely new human-in-the-loop approach to software management.
Once you get your retrieval-augmented generation system working effectively, you may face new challenges in scalability, user experience, and operational overhead.
The tools provide advanced data intelligence, data quality, and data modeling capabilities aimed at helping customers ensure the AI readiness of their data, the company said.
Pinecone is a managed, cloud-native vector database offering long-term memory for high-performance AI applications.
The feature is designed to help developers save time by automating cross-region inference routing for requests coming to Amazon Bedrock.