As an analyst, to make impactful product changes, follow best practices and insights shared in the detailed guide available on the “Towards Data Science” platform.

Large language models often produce unreliable responses due to their factually incorrect claims and hallucinations, similar to human error. The paper introduces FLEEK, an automated tool designed to verify and correct factual inaccuracies, providing a solution to the cumbersome and time-consuming manual fact-checking process.

This paper introduces a benchmark for continual large-scale training of CLIP models on time-varying data without distinct task separation, addressing the challenges of training with daily-generated Petabytes of data. Accepted at NeurIPS 2023 workshop on Distribution Shifts.

The text introduces an exploration of OpenAI’s GPT architecture, with further details available on the Towards Data Science platform.

Researchers used AI to select and generate images, serving as tools to study the brain’s visual processing. This aims to enhance our understanding of vision organization and reduce biases from limited researcher-chosen images.

Researchers have successfully integrated 2D layered material into a compact electronic chip using a monolithic 3D approach for AI computing, enhancing multi-functional integration and advancing AI processing capabilities.

The GovAI Summit 2023, on December 5-6 in Arlington, VA, will explore AI’s public sector impact, featuring keynotes by AI experts and industry leaders. Lane Dilg from OpenAI and others will discuss AI’s role in government, healthcare, and security, focusing on ethical use amidst the evolving regulatory landscape. Discounted hotel rates are available.

The Biden administration has forced a Saudi Aramco-affiliated VC to sell its stake in the AI chip startup Rain Neuromorphics on national security grounds, as reviewed by CFIUS. This move reflects heightened U.S. vigilance over foreign tech investments and the strategic valuation of AI technology.

Researchers introduced DRESS, an LVLM trained with two types of Natural Language Feedback (critique and refinement) to better align with human values and improve interaction capabilities in multi-turn contexts. The approach uses conditional reinforcement learning and has shown improvements in alignment with human preferences based on the 3H criteria of helpfulness, honesty, and harmlessness. They…