ThinkIT Data

Interesting paper. Spoiler alert, "they haven't" ;-)

To what extent have Large pre-trained Language Models (LLMs) developed “emergent” capabilities for abstract ?

The defining characteristic of abstract reasoning is the ability to induce a rule or pattern from limited data or experience and to apply this rule or pattern to new, unseen situations.

Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks We explore the abstract reasoning abilities of text-only and multimodal versions of GPT-4, using the ConceptARC benchmark [10], which is designed to evaluate robust understanding and reasoning with core-knowledge concepts. We extend the work of Moskvichev et al. [10] by evaluating GPT-4 on more deta...

This is REALLY interesting because it provides such a good overview of how machine learning is currently being used to abstract away the problem solving procedure we refer to as thought and commonly referred (although nowhere it yet) to as AI.

What is Q-Star? (Diving into Nvidia AI Researcher, Jim Fan's post) In the past few days, there has been a lot of speculation about a breakthrough at OpenAI called Q-Star (Q*) which allegedly was what triggered the boardroom ...