In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Few industries have the competitive pressure to innovate — while under as much public and regulatory scrutiny for data privacy and security — as the financial services sector. So, as companies ...

Data security startup Immuta Inc. today announced new data governance and audit capabilities for retrieval-augmented generation-based generative artificial intelligence solutions across multiple cloud ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now While vector databases are now increasingly ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...

Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

Organisations should build their own generative artificial intelligence-based (GenAI-based) on retrieval augmented generation (RAG) with open source products such as DeepSeek and Llama. This is ...