Author: Sana Hassan

Sana Hassan
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Sana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.

Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI Systems

Agentic AI
As agentic AI systems evolve, the complexity of ensuring their reliability, security, and safety grows correspondingly. Recognizing this, Microsoft's AI Red Team (AIRT) has...

This AI Paper from China Proposes a Novel Training-Free Approach DEER that Allows Large Reasoning Language Models to Achieve Dynamic Early Exit in Reasoning

AI Paper Summary
Recent progress in large reasoning language models (LRLMs), such as DeepSeek-R1 and GPT-O1, has greatly improved complex problem-solving abilities by extending the length of...

AgentA/B: A Scalable AI System Using LLM Agents that Simulate Real User Behavior to Transform Traditional A/B Testing on Live Web Platforms

Agentic AI
Designing and evaluating web interfaces is one of the most critical tasks in today’s digital-first world. Every change in layout, element positioning, or navigation...

Skywork AI Advances Multimodal Reasoning: Introducing Skywork R1V2 with Hybrid Reinforcement Learning

AI Paper Summary
Recent advancements in multimodal AI have highlighted a persistent challenge: achieving strong specialized reasoning capabilities while preserving generalization across diverse tasks. "Slow-thinking" models such...

Microsoft Research Introduces MMInference to Accelerate Pre-filling for Long-Context Vision-Language Models

AI Paper Summary
Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving, and healthcare. Expanding the...

Meet Rowboat: An Open-Source IDE for Building Complex Multi-Agent Systems

Agentic AI
As multi-agent systems gain traction in real-world applications—from customer support automation to AI-native infrastructure—the need for a streamlined development interface has never been greater....

A New Citibank Report/Guide Shares How Agentic AI Will Reshape Finance with Autonomous Analysis and Intelligent Automation

Agentic AI
In its latest 'Agentic AI Finance & the ‘Do It For Me’ Economy' report, Citibank explores a significant paradigm shift underway in financial services:...

Sequential-NIAH: A Benchmark for Evaluating LLMs in Extracting Sequential Information from Long Texts

AI Paper Summary
Evaluating how well LLMs handle long contexts is essential, especially for retrieving specific, relevant information embedded in lengthy inputs. Many recent LLMs—such as Gemini-1.5,...

LLMs Can Now Learn without Labels: Researchers from Tsinghua University and Shanghai AI Lab Introduce Test-Time Reinforcement Learning (TTRL) to Enable Self-Evolving Language Models...

AI Paper Summary
Despite significant advances in reasoning capabilities through reinforcement learning (RL), most large language models (LLMs) remain fundamentally dependent on supervised data pipelines. RL frameworks...

Meet VoltAgent: A TypeScript AI Framework for Building and Orchestrating Scalable AI Agents

Agentic AI
VoltAgent is an open-source TypeScript framework designed to streamline the creation of AI‑driven applications by offering modular building blocks and abstractions for autonomous agents....

Decoupled Diffusion Transformers: Accelerating High-Fidelity Image Generation via Semantic-Detail Separation and Encoder Sharing

AI Paper Summary
Diffusion Transformers have demonstrated outstanding performance in image generation tasks, surpassing traditional models, including GANs and autoregressive architectures. They operate by gradually adding noise...

A Code Implementation of a Real‑Time In‑Memory Sensor Alert Pipeline in Google Colab with FastStream, RabbitMQ, TestRabbitBroker, Pydantic

Editors Pick
In this notebook, we demonstrate how to build a fully in-memory “sensor alert” pipeline in Google Colab using FastStream, a high-performance, Python-native stream processing...
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