ASEAN takes a business-friendly approach to AI regulation

Large language models (LLMs) have shown advancements in text generation for various domains. CoEdIT, an AI-based text editing system, excels in multiple tasks and provides guidance for writers. It surpasses other models in performance and effectively…

The Rise of Large Language Models (LLMs) Large Language Models (LLMs) have changed the way we process language. While models like GPT-4 and Claude 3 offer great performance, they often come with high costs and limited…

Facebook’s introduction of the News Feed in 2006 revolutionized the platform, providing users with a constantly updating stream of posts and status changes. Despite user complaints, engagement doubled. The company then implemented an algorithm called EdgeRank…

DeepSeek’s Recent Update: Transparency Concerns DeepSeek’s announcement regarding its DeepSeek-V3/R1 inference system has garnered attention, but it raises questions about the company’s commitment to transparency. While the technical achievements are noteworthy, there are significant omissions that…

Small Language Models (SLMs) are emerging as an efficient, adaptable, and secure alternative to Large Language Models, offering benefits in training cost, deployment, transparency, and accuracy for resource-constrained applications. SLMs like DistilBERT, Orca 2, and versions…

The review explores the evolution and challenges of Large Language Models (LLMs) such as ChatGPT, highlighting their transition from traditional statistical models to neural network-based ones like the Transformer architecture. It delves into the training, fine-tuning,…

The text discusses potential bias in decision trees and random forests due to the assumption of continuous features, which can affect the modeling process. The authors demonstrate this bias through experimentation and propose a mitigation strategy…

Woodpecker is a new approach that aims to fix hallucinations in Multimodal Large Language Models (MLLM), such as GPT-4V. By connecting the MLLM to the internet, Woodpecker allows the model to validate its generated descriptions using…

OpenAI’s CEO, Sam Altman, is orchestrating a staggering funding initiative to raise between $5-7 trillion. This investment aims to expand high-performance AI hardware production to address the skyrocketing demand. Altman is engaging potential investors and government…

OpenMoE revolutionizes Natural Language Processing (NLP) with its Mixture-of-Experts approach, scaling model parameters efficiently for enhanced task performance. OpenMoE’s comprehensive suite of decoder-only LLMs, meticulously trained on extensive datasets, showcases commendable cost-effectiveness and competitive performance. Moreover,…

Understanding Spatial Hearing and Its Importance Humans can pinpoint where sounds come from and understand their surroundings through a skill called spatial hearing. This ability helps us identify speakers in noisy places and navigate complex environments.…

Understanding Generative AI and Predictive AI AI and ML are growing rapidly, leading to new areas of research and application. Two important types are Generative AI and Predictive AI. Although they both use machine learning, they…

Practical Solutions for Enhancing Language Model Safety Preventing Unsafe Outputs Language models can generate harmful content, risking real-world deployment. Techniques like fine-tuning on safe datasets help but are not foolproof. Introducing Backtracking Mechanism The backtracking method…

Deep learning’s wide-ranging applications, including robotics, face challenges due to its reliance on pre-existing data. PyPose, developed on the PyTorch framework, introduces a novel approach blending deep learning with physics-based optimization. This versatile toolkit aids in…

A team from FAIR at Meta and collaborators from Georgia Tech and StabilityAI have advanced the refinement of large language models (LLMs) with Stepwise Outcome-based and Process-based Reward Models. This innovation significantly improves LLMs’ reasoning accuracy,…

Contextual AI’s RAG 2.0 introduces cutting-edge Contextual Language Models (CLMs) setting a new benchmark in AI performance. CLMs excel in understanding and generating human-like text, offering profound implications for businesses and the AI research community. However,…

Understanding Large Vision-Language Models (LVLMs) Large Vision-Language Models (LVLMs) can analyze and understand both images and text. However, they sometimes struggle when the visual and language parts don’t match, leading to conflicting information. For instance, when…

The latest motion estimation method extracts long-term motion trajectories for each pixel, even in fast movements and complex scenes. OmniMotion explores this exciting technology and discusses the future of motion analysis.