RAG is changing the face of generative AI by aggregating retrieval and generation to bring out precise, pertinent and ...
Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a ...
Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a single, resource-intensive training session using a fixed dataset. Any ...
RAG takes large language models a step further by drawing on trusted sources of domain-specific information. This brings ...
As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating ...
Learn More Retrieval-augmented generation (RAG) has become the de facto way of customizing large language models (LLMs) for bespoke information. However, RAG comes with upfront technical costs and ...
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...
AI's evolution and investors need to be prepared. In this guest column, Daniel Marcous, CTO of april, shares five key factors ...
Relevance — delivering AI-search, generative, and business-aware relevance at every point-of-experience, today announced that ...