Dr. Lorien Pratt joins Circuitry.ai as Decision Intelligence Advisor
Circuitry.ai, a provider of innovative Enterprise AI as a Service applications to analyze, augment, and automate impactful decisions, is proud to announce the addition of Dr. Lorien Pratt – an…
Archer acquires Compliance.ai
Archer, an enterprise leader in providing a fully integrated risk management solution, today announced its acquisition of Compliance.ai, a leading provider of artificial intelligence (AI)-driven regulatory change management solutions. This…
This AI Paper Unveils a New Method for Statistically-Guaranteed Text Generation Using Non-Exchangeable Conformal Prediction
Natural language generation (NLG) is a critical area in AI, enabling applications such as machine translation (MT), language modeling (LM), summarization, and more. Recent advancements in large language models (LLMs)…
AWS AI Labs Introduce CodeSage: A Bidirectional Encoder Representation Model for Source Code
In the evolving landscape of artificial intelligence, the quest to refine the interaction between machines and programming languages is more intense than ever. This exploration delves into the nuanced realm…
Eighth annual State of the Data Center industry report
AFCOM, the leading membership association for data center professionals, and Data Center World, the leading global conference for data center facilities and IT professionals, today announce the results of the eighth…
Ankura and OpenAI launch Ankura AGI
Ankura AGI, powered by OpenAI, is a testament to collaborative innovation for the consulting industry and will enhance Ankura’s client expertise and service Today, Ankura Consulting Group, LLC (“Ankura”), a leading global…
Meta AI Releases V-JEPA: An Artificial Intelligence Method for Teaching Machines to Understand and Model the Physical World by Watching Videos
Meta researchers address the challenge of advancing machine intelligence(AMI) in understanding the real world by introducing V-JEPA, a model with joint embedding predictive architecture. It is a non-generative AI model…
Transformers Reimagined: Google DeepMind’s Approach Unleashes Potential for Longer Data Processing
In the evolving landscape of artificial intelligence, the challenge of enabling language models, specifically transformers, to effectively process and understand sequences of varying lengths has emerged as a critical area…
This AI Paper from Google AI Proposes Online AI Feedback (OAIF): A Simple and Effective Way to Make DAP Methods Online via AI Feedback
Aligning large language models (LLMs) with human expectations and values is crucial for maximizing societal advantages. Reinforcement learning from human feedback (RLHF) was the initial alignment approach presented. It involves…
This AI Paper from UC Berkeley Explores the Potential of Feedback Loops in Language Models
Artificial intelligence (AI) is witnessing an era where language models, specifically large language models (LLMs), are not just computational entities but active participants in the digital ecosystem. These models, through…