Author: Asif Razzaq

Asif Razzaq
848 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.

OpenAI Releases a Strategic Guide for Enterprise AI Adoption: Practical Lessons from the Field

OpenAI has published a comprehensive 24-page document titled AI in the Enterprise, offering a pragmatic framework for organizations navigating the complexities of large-scale AI...

Building AI Agents Using Agno’s Multi-Agent Teaming Framework for Comprehensive Market Analysis and Risk Reporting

In today’s fast-paced financial landscape, leveraging specialized AI agents to handle discrete aspects of analysis is key to delivering timely, accurate insights. Agno’s lightweight,...

Meta AI Releases Llama Prompt Ops: A Python Toolkit for Prompt Optimization on Llama Models

Meta AI has released Llama Prompt Ops, a Python package designed to streamline the process of adapting prompts for Llama models. This open-source tool...

A Step-by-Step Tutorial on Connecting Claude Desktop to Real-Time Web Search and Content Extraction via Tavily AI and Smithery using Model Context Protocol (MCP)

In this hands-on tutorial, we’ll learn how to seamlessly connect Claude Desktop to real-time web search and content-extraction capabilities using Tavily AI’s Model Context...

IBM AI Releases Granite 4.0 Tiny Preview: A Compact Open-Language Model Optimized for Long-Context and Instruction Tasks

IBM has introduced a preview of Granite 4.0 Tiny, the smallest member of its upcoming Granite 4.0 family of language models. Released under the...

Building a Zapier AI-Powered Cursor Agent to Read, Search, and Send Gmail Messages using Model Context Protocol (MCP) Server

In this tutorial, we’ll learn how to harness the power of the Model Context Protocol (MCP) alongside Zapier AI to build a responsive email...

AI Agents Are Here—So Are the Threats: Unit 42 Unveils the Top 10 AI Agent Security Risks

As AI agents transition from experimental systems to production-scale applications, their growing autonomy introduces novel security challenges. In a comprehensive new report, “AI Agents...

JetBrains Open Sources Mellum: A Developer-Centric Language Model for Code-Related Tasks

JetBrains has officially open-sourced Mellum, a purpose-built 4-billion-parameter language model tailored for software development tasks. Developed from the ground up, Mellum reflects JetBrains’ engineering-first...

Building a REACT-Style Agent Using Fireworks AI with LangChain that Fetches Data, Generates BigQuery SQL, and Maintains Conversational Memory

In this tutorial, we will explore how to leverage the capabilities of Fireworks AI for building intelligent, tool-enabled agents with LangChain. Starting from installing...

DeepSeek-AI Released DeepSeek-Prover-V2: An Open-Source Large Language Model Designed for Formal Theorem, Proving through Subgoal Decomposition and Reinforcement Learning

Formal mathematical reasoning has evolved into a specialized subfield of artificial intelligence that requires strict logical consistency. Unlike informal problem solving, which allows for...

Salesforce AI Research Introduces New Benchmarks, Guardrails, and Model Architectures to Advance Trustworthy and Capable AI Agents

Salesforce AI Research has outlined a comprehensive roadmap for building more intelligent, reliable, and versatile AI agents. The recent initiative focuses on addressing foundational...

Microsoft AI Released Phi-4-Reasoning: A 14B Parameter Open-Weight Reasoning Model that Achieves Strong Performance on Complex Reasoning Tasks

Despite notable advancements in large language models (LLMs), effective performance on reasoning-intensive tasks—such as mathematical problem solving, algorithmic planning, or coding—remains constrained by model...