Building a Multi-Agent Conversational AI Framework with Microsoft AutoGen and Gemini API
class GeminiAutoGenFramework: “”” Complete AutoGen framework using free Gemini API Supports multi-agent conversations, code execution, and retrieval “”” def __init__(self, gemini_api_key: str): “””Initialize with Gemini API key””” self.gemini_api_key = gemini_api_key…
Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents
In today’s data-driven world, valuable insights are often buried in unstructured text—be it clinical notes, lengthy legal contracts, or customer feedback threads. Extracting meaningful, traceable information from these documents is…
NASA Releases Galileo: The Open-Source Multimodal Model Advancing Earth Observation and Remote Sensing
Introduction Galileo is an open-source, highly multimodal foundation model developed to process, analyze, and understand diverse Earth observation (EO) data streams—including optical, radar, elevation, climate, and auxiliary maps—at scale. Galileo…
Now It’s Claude’s World: How Anthropic Overtook OpenAI in the Enterprise AI Race
The tides have turned in the enterprise AI landscape. According to Menlo Ventures’ 2025 “Mid-Year LLM Market Update,” Anthropic’s Claude has overtaken OpenAI as the leading language model provider for…
7 Essential Layers for Building Real-World AI Agents in 2025: A Comprehensive Framework
Building an intelligent agent goes far beyond clever prompt engineering for language models. To create real-world, autonomous AI systems that can think, reason, act, and learn, you need to engineer…
ByteDance Introduces Seed-Prover: An Advanced Formal Reasoning System for Automated Mathematical Theorem Proving
LLMs have shown notable improvements in mathematical reasoning by extending through natural language, resulting in performance gains on benchmarks such as MATH and AIME. However, reinforcement learning (RL) for training…
Tutorial: Exploring SHAP-IQ Visualizations – MarkTechPost
In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives at its predictions. These visuals help break down complex model…
A Technical Roadmap to Context Engineering in LLMs: Mechanisms, Benchmarks, and Open Challenges
Estimated reading time: 4 minutes The paper “A Survey of Context Engineering for Large Language Models” establishes Context Engineering as a formal discipline that goes far beyond prompt engineering, providing…
The Ultimate Guide to CPUs, GPUs, NPUs, and TPUs for AI/ML: Performance, Use Cases, and Key Differences
Artificial intelligence and machine learning workloads have fueled the evolution of specialized hardware to accelerate computation far beyond what traditional CPUs can offer. Each processing unit—CPU, GPU, NPU, TPU—plays a…
Building an End-to-End Object Tracking and Analytics System with Roboflow Supervision
In this advanced Roboflow Supervision tutorial, we build a complete object detection pipeline with the Supervision library. We begin by setting up real-time object tracking using ByteTracker, adding detection smoothing,…









