AI Technology & Industry Review
In a new paper ChatQA: Building GPT-4 Level Conversational QA Models, an NVIDIA research team introduces ChatQA, a suite of conversational question-answering models that achieve GPT-4 level accuracies without relying on synthetic data from OpenAI GPT models.
In a new paper Autonomous chemical research with large language models, a research team from Carnegie Mellon University and Emerald Cloud Lab introduces an innovative LLMs-Powered system named Coscientist, which autonomously designs, plans, and executes complex scientific experiments, marking a significant leap forward in the integration of laboratory automation technologies with powerful language models.
A Microsoft research team conducts an in-depth analysis of the latest model, GPT-4V(ision). Their report delves into the emerging application scenarios and outlines future research directions for GPT-4V-based systems, with the goal of inspiring research on next-generation multimodal task formulation and the development of more robust LLMs.
In a new paper Orca: Progressive Learning from Complex Explanation Traces of GPT-4, a Microsoft research team introduces Orca, a 13-billion parameter model that learns explanation traces; step-by-step thought processes; and complex instructions from GPT-4 to significantly boosts SOTA instruction-tuned models.
In the new paper Sparks of Artificial General Intelligence: Early Experiments with GPT-4, a Microsoft Research team investigates GPT-4, demonstrating its ability to achieve human-level performance on novel and difficult tasks in domains ranging from mathematics and coding to vision, medicine, law and psychology; and proposing it as an early version of an AGI system.