When it comes to AI, bigger isn’t always better
Large language models (LLMs) continue to face persistent hallucination rates of 20 to 27 percent, making them unreliable for high-stakes enterprise applications in healthcare, legal, and finance, acco…
Large language models (LLMs) continue to face persistent hallucination rates of 20 to 27 percent, making them unreliable for high-stakes enterprise applications in healthcare, legal, and finance, acco…
Researchers propose ASK+, an uncertainty-gated framework that improves small language model (SLM) guidance for reinforcement learning agents under partial observability. By providing trajectory-aware …
Indian smartphone manufacturers are pushing 12GB or 16GB of RAM as the new standard for mid-range devices to support on-device AI features, which consume significant memory through model weights and K…
Amazon Web Services announced a new method for improving AI agent tool-calling accuracy using Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) on Amazon SageMaker AI. The approach…