Author: Asif Razzaq

Asif Razzaq
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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.

ByteDance Introduces QuaDMix: A Unified AI Framework for Data Quality and Diversity in LLM Pretraining

AI Paper Summary
The pretraining efficiency and generalization of large language models (LLMs) are significantly influenced by the quality and diversity of the underlying training corpus. Traditional...

Google AI Unveils 601 Real-World Generative AI Use Cases Across Industries

Agentic AI
Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations —...

A Coding Implementation with Arcade: Integrating Gemini Developer API Tools into LangGraph Agents for Autonomous AI Workflows

Editors Pick
Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made tools, including web scraping...

Meta AI Introduces Token-Shuffle: A Simple AI Approach to Reducing Image Tokens in Transformers

AI Paper Summary
Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images...

A Comprehensive Tutorial on the Five Levels of Agentic AI Architectures: From Basic Prompt Responses to Fully Autonomous Code Generation and Execution

Agentic AI
In this tutorial, we explore five levels of Agentic Architectures, from the simplest language model calls to a fully autonomous code-generating system. This tutorial...

NVIDIA AI Releases OpenMath-Nemotron-32B and 14B-Kaggle: Advanced AI Models for Mathematical Reasoning that Secured First Place in the AIMO-2 Competition and Set New Benchmark...

AI Shorts
Mathematical reasoning has long presented a formidable challenge for AI, demanding not only an understanding of abstract concepts but also the ability to perform...

Meta AI Releases Web-SSL: A Scalable and Language-Free Approach to Visual Representation Learning

AI Paper Summary
In recent years, contrastive language-image models such as CLIP have established themselves as a default choice for learning vision representations, particularly in multimodal applications...

AWS Introduces SWE-PolyBench: A New Open-Source Multilingual Benchmark for Evaluating AI Coding Agents

Agentic AI
Recent advancements in large language models (LLMs) have enabled the development of AI-based coding agents that can generate, modify, and understand software code. However,...

Meet Xata Agent: An Open Source Agent for Proactive PostgreSQL Monitoring, Automated Troubleshooting, and Seamless DevOps Integration

Agentic AI
Xata Agent is an open-source AI assistant built to serve as a site reliability engineer for PostgreSQL databases. It constantly monitors logs and performance...

NVIDIA AI Releases Describe Anything 3B: A Multimodal LLM for Fine-Grained Image and Video Captioning

AI Paper Summary
Challenges in Localized Captioning for Vision-Language Models Describing specific regions within images or videos remains a persistent challenge in vision-language modeling. While general-purpose vision-language...

A Coding Guide to Build an Agentic AI‑Powered Asynchronous Ticketing Assistant Using PydanticAI Agents, Pydantic v2, and SQLite Database

Agentic AI
In this tutorial, we’ll build an end‑to‑end ticketing assistant powered by Agentic AI using the PydanticAI library. We’ll define our data rules with Pydantic...

Atla AI Introduces the Atla MCP Server: A Local Interface of Purpose-Built LLM Judges via Model Context Protocol (MCP)

Agentic AI
Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating consistent and objective evaluation...
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