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.

Meta AI Introduces ReasonIR-8B: A Reasoning-Focused Retriever Optimized for Efficiency and RAG Performance

AI Paper Summary
Addressing the Challenges in Reasoning-Intensive Retrieval Despite notable progress in retrieval-augmented generation (RAG) systems, retrieving relevant information for complex, multi-step reasoning tasks remains a significant...

Multimodal AI on Developer GPUs: Alibaba Releases Qwen2.5-Omni-3B with 50% Lower VRAM Usage and Nearly-7B Model Performance

AI Shorts
Multimodal foundation models have shown substantial promise in enabling systems that can reason across text, images, audio, and video. However, the practical deployment of...

Mem0: A Scalable Memory Architecture Enabling Persistent, Structured Recall for Long-Term AI Conversations Across Sessions

Agentic AI
Large language models can generate fluent responses, emulate tone, and even follow complex instructions; however, they struggle to retain information across multiple sessions. This...

Diagnosing and Self- Correcting LLM Agent Failures: A Technical Deep Dive into τ-Bench Findings with Atla’s EvalToolbox

Agentic AI
Deploying large language model (LLM)-based agents in production settings often reveals critical reliability issues. Accurately identifying the causes of agent failures and implementing proactive...

Beyond the Hype: Google’s Practical AI Guide Every Startup Founder Should Read

AI Shorts
In 2025, AI continues to reshape how startups build, operate, and compete. Google's Future of AI: Perspectives for Startups report presents a comprehensive roadmap,...

Tutorial on Seamlessly Accessing Any LinkedIn Profile with exa-mcp-server and Claude Desktop Using the Model Context Protocol MCP

AI Agents
In this tutorial, we’ll learn how to harness the power of the exa-mcp-server alongside Claude Desktop to access any LinkedIn page programmatically. The exa-mcp-server...

Reinforcement Learning for Email Agents: OpenPipe’s ART·E Outperforms o3 in Accuracy, Latency, and Cost

Agentic AI
OpenPipe has introduced ART·E (Autonomous Retrieval Tool for Email), an open-source research agent designed to answer user questions based on inbox contents with a...

A Coding Guide to Different Function Calling Methods to Create Real-Time, Tool-Enabled Conversational AI Agents

Agentic AI
Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model...

Alibaba Qwen Team Just Released Qwen3: The Latest Generation of Large Language Models in Qwen Series, Offering a Comprehensive Suite of Dense and Mixture-of-Experts...

AI Shorts
Despite the remarkable progress in large language models (LLMs), critical challenges remain. Many models exhibit limitations in nuanced reasoning, multilingual proficiency, and computational efficiency....

A Coding Tutorial of Model Context Protocol Focusing on Semantic Chunking, Dynamic Token Management, and Context Relevance Scoring for Efficient LLM Interactions

Editors Pick
Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long...

Devin AI Introduces DeepWiki: A New AI-Powered Interface to Understand GitHub Repositories

Agentic AI
Devin AI recently introduced DeepWiki, a free tool that automatically generates structured, wiki-style documentation for any GitHub repository. Built using their in-house DeepResearch agent,...

Building Fully Autonomous Data Analysis Pipelines with the PraisonAI Agent Framework: A Coding Implementation

Agentic AI
In this tutorial, we demonstrate how PraisonAI Agents can elevate your data analysis from manual scripting to a fully autonomous, AI-driven pipeline. In a...
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