DeeperML

Researchers are making strides in understanding how AI models think. Anthropic has developed an "AI microscope" to peek into the internal processes of its Claude model, revealing how it plans ahead, even when generating poetry. This tool provides a limited view of how the AI processes information and reasons through complex tasks. The microscope suggests that Claude uses a language-independent internal representation, a "universal language of thought", for multilingual reasoning.

The team at Google DeepMind introduced JetFormer, a new Transformer designed to directly model raw data. This model, capable of both understanding and generating text and images seamlessly, maximizes the likelihood of raw data without depending on any pre-trained components. Additionally, a comprehensive benchmark called FACTS Grounding has been introduced to evaluate the factuality of large language models (LLMs). This benchmark measures how accurately LLMs ground their responses in provided source material and avoid hallucinations, aiming to improve trust and reliability in AI-generated information.

ImgSrc: lh3.googleuserc

References :

• Google DeepMind Blog: FACTS Grounding: A new benchmark for evaluating the factuality of large language models
• THE DECODER: Anthropic's AI microscope reveals how Claude plans ahead when generating poetry

Classification:

• HashTags: #AI #LLM #Interpretability
• Company: DeepMind
• Target: LLMs
• Product: Claude
• Feature: Model Interpretability
• Type: Research
• Severity: Informative