The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as it comes up with a ...

According to the Hughes Hallucination Evaluation Model (HHEM) leaderboard, some of the leading models' hallucinations are ...

There is a problem with LLM's code generation, where non-existent libraries or functions are used due to hallucinations, and it has been pointed out that the code generated by LLM is unreliable.

Now, new research from Anthropic is exposing at least some of the inner neural network "circuitry" that helps an LLM decide ...

Using SimpleQA, the company's in-house factuality benchmarking tool, OpenAI admitted in its release announcement that its new large language model (LLM ... it doesn't hallucinate as much as ...

Generative AI hallucinations are real and cause for constant vigilance, but as media and AI strategist Andy Beach points out in this discussion with Ring Digital's Brian Ring at Streaming Media ...

Yann LeCun's argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning.

Google researchers refine RAG by introducing a sufficient context signal to curb hallucinations and improve response accuracy ...

All the large language model (LLM) publishers and suppliers are focusing on the advent of artificial intelligence (AI) agents ...