Simbian’s approach offers a new blueprint for how to evaluate and evolve AI for real-world use, without losing sight of the human element.

If an LLM hallucinates or makes an error, is non-deterministic 1% of the time, and you're used to having 99.99% accuracy or consistency, an LLM is probably not the right model for that.

Alibaba Group's open-source Qwen AI model has propelled the agentic framework DeepSWE to global leadership, surpassing ...

Simbian’s AI SOC Agent measured LLM performance for autonomous alert investigation, including tasks of diverse skills. All top-tier LLMs completed over 60% of the tasks but left a gap for ...

To accomplish this, the system uses Monte Carlo Tree Search (MCTS), a decision-making algorithm famously used by DeepMind’s AlphaGo. At each step, AB-MCTS uses probability models to decide whether ...

Their framework, AlphaOne, gives developers fine-grained control over the model’s reasoning process at test time. The system works by introducing Alpha (α), a parameter that acts as a dial to ...

Use of tools like Claude AI to analyse portfolios and get buy and sell stock recommendations pose a new challenge for ...

Researchers at Duke University are proposing a new framework to evaluate artificial intelligence scribing tools by using a combination of human review and technological evaluation. | AI scribes are ...

Claude, LLaMA, and Grok has intensified concerns around model alignment, toxicity, and data privacy. While many commercial ...

When evaluating vendor solutions for generative AI, it’s important to understand the core components of the supporting ...

Large Language Models (LLMs) have transformed Artificial Intelligence (AI) by generating human-like text and solving complex ...