Bridging the trust gap in AI-driven development | InfoWorld
If you want trustworthy AI results, you need trustworthy people shaping the prompts, verifying the data, and overseeing the whole AI process.| InfoWorld
If you want trustworthy AI results, you need trustworthy people shaping the prompts, verifying the data, and overseeing the whole AI process.| InfoWorld
Vertex AI is also getting a new Agent Engine for deploying and maintaining agents or multi-agent systems.| InfoWorld
The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.| InfoWorld
Five key questions you should ask before embarking on the journey to create your own in-house large language model.| InfoWorld
Amazon Bedrock smooths the path to building generative AI apps with prompt engineering and RAG, providing a good assortment of text, chat, and image-based foundation models.| InfoWorld
Fine-tuning and retrieval augmentation are time-consuming and expensive. A better way of specializing LLMs is on the horizon.| InfoWorld
Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models.| InfoWorld
An agentic mesh is a way to turn fragmented agents into a connected, reliable, enterprise-grade ecosystem. It lets agents find each other, and safely and securely collaborate, interact, and even transact.| InfoWorld
Top gen AI-driven cybersecurity tools, platforms, features, services, and technologies unveiled at Black Hat 2024 that you need to know about.| CSO Online
New capabilities include protection against OWASP top 10 LLM threats, along with other visibility and security offerings.| CSO Online
