Author: Asif Razzaq

Asif Razzaq
615 POSTS3 COMMENTS
http://www.marktechpost.com
Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.

DeepSeek-AI Just Released DeepSeek-V3: A Strong Mixture-of-Experts (MoE) Language Model with 671B Total Parameters with 37B Activated for Each Token

The field of Natural Language Processing (NLP) has made significant strides with the development of large-scale language models (LLMs). However, this progress has brought...

Microsoft and Tsinghua University Researchers Introduce Distilled Decoding: A New Method for Accelerating Image Generation in Autoregressive Models without Quality Loss

Autoregressive (AR) models have changed the field of image generation, setting new benchmarks in producing high-quality visuals. These models break down the image creation...

Tsinghua University Researchers Just Open-Sourced CogAgent-9B-20241220: The Latest Version of CogAgent

Graphical User Interfaces (GUIs) are central to how users engage with software. However, building intelligent agents capable of effectively navigating GUIs has been a...

Meet CoMERA: An Advanced Tensor Compression Framework Redefining AI Model Training with Speed and Precision

Training large-scale AI models such as transformers and language models have become an indispensable yet highly demanding process in AI. With billions of parameters,...

Qwen Team Releases QvQ: An Open-Weight Model for Multimodal Reasoning

Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding area of research in...

Salesforce AI Research Introduces AGUVIS: A Unified Pure Vision Framework Transforming Autonomous GUI Interaction Across Platforms

Graphical User Interfaces (GUIs) play a fundamental role in human-computer interaction, providing the medium through which users accomplish tasks across web, desktop, and mobile...

Meet OREO (Offline REasoning Optimization): An Offline Reinforcement Learning Method for Enhancing LLM Multi-Step Reasoning

Large Language Models (LLMs) have demonstrated impressive proficiency in numerous tasks, but their ability to perform multi-step reasoning remains a significant challenge. This limitation...

OpenAI Researchers Propose ‘Deliberative Alignment’: A Training Approach that Teaches LLMs to Explicitly Reason through Safety Specifications before Producing an Answer

The widespread use of large-scale language models (LLMs) in safety-critical areas has brought forward a crucial challenge: how to ensure their adherence to clear...

Hume AI Introduces OCTAVE: A Next-Generation Speech-Language Model with New Emergent Capabilities like On-The-Fly Voice and Personality Creation

The evolution of speech and language technology has led to improvements in areas like voice assistants, transcription, and sentiment analysis. However, many models struggle...

Microsoft Researchers Release AIOpsLab: An Open-Source Comprehensive AI Framework for AIOps Agents

The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures to ensure their operations...

OpenAI Announces OpenAI o3: A Measured Advancement in AI Reasoning with 87.5% Score on Arc AGI Benchmarks

On December 20, OpenAI announced OpenAI o3, the latest model in its o-Model Reasoning Series. Building on its predecessors, o3 showcases advancements in mathematical...

Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators

Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools often struggle with the...