Diffusion models generate tens of thousands of plausible weather events where historical data doesn't exist. Insurers are hoping for more precise risk assessments. Researchers warn about hallucinations.<br /> The article Insurers turn to generative AI for catastrophe modeling, but hallucinations and sales logic could get in the way appeared first on The Decoder. [...]
AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, [...]
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
Large language models continue to struggle with hallucinations, presenting a major roadblock for real-world enterprise applications. Reducing these errors is a messy business, forcing model developers [...]
Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path.To overcome this brute- [...]
Several large insurers, including AIG, Great American, and WR Berkley, have filed requests with U.S. regulators to exclude AI-related risks from their corporate insurance policies, according to the Fi [...]
The Dfinity Foundation on Wednesday released Caffeine, an artificial intelligence platform that allows users to build and deploy web applications through natural language conversation alone, bypassing [...]