Framework
Automating FOWLP design: A comprehensive framework for next-generation integration
Fan-out wafer-level packaging (FOWLP) is becoming a critical technology in advanced semiconductor packaging, marking a significant shift in system integration strategies. Industry analyses show 3D IC and advanced packaging make up more than 45% of the IC packaging market value, underscoring the move to more sophisticated solutions. The challenges are significant—from thermal management and testing…
Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems
In this tutorial, we introduce a Jailbreak Defense that we built step-by-step to detect and safely handle policy-evasion prompts. We generate realistic attack and benign examples, craft rule-based signals, and combine those with TF-IDF features into a compact, interpretable classifier so we can catch evasive prompts without blocking legitimate requests. We demonstrate evaluation metrics, explain…
Google AI Introduces Personal Health Agent (PHA): A Multi-Agent Framework that Enables Personalized Interactions to Address Individual Health Needs
What is a Personal Health Agent? Large language models (LLMs) have demonstrated strong performance across various domains like clinical reasoning, decision support, and consumer health applications. However, most existing platforms are designed as single-purpose tools, such as symptom checkers, digital coaches, or health information assistants. These approaches often fail to address the complexity of real-world…
Meet Elysia: A New Open-Source Python Framework Redefining Agentic RAG Systems with Decision Trees and Smarter Data Handling
If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a simple question. Most of the time, you get back irrelevant chunks of text that barely answer what was asked….
Alibaba Qwen Team Releases Mobile-Agent-v3 and GUI-Owl: Next-Generation Multi-Agent Framework for GUI Automation
Image source: Marktechpost.com Introduction: The Rise of GUI Agents Modern computing is dominated by graphical user interfaces across devices—mobile, desktop, and web. Automating tasks in these environments has traditionally been limited to scripted macros or brittle, hand-engineered rules. Recent advances in vision-language models offer the tantalizing possibility of agents that can understand screens, reason about…
Build vs Buy for Enterprise AI (2025): A U.S. Market Decision Framework for VPs of AI Product
Enterprise AI in the U.S. has left the experimentation phase. CFOs expect clear ROI, boards expect evidence of risk oversight, and regulators expect controls consistent with existing risk management obligations. Against this backdrop, every VP of AI faces the enduring question: Should we build this capability in-house, buy it from a vendor, or blend the…
Zhipu AI Unveils ComputerRL: An AI Framework Scaling End-to-End Reinforcement Learning for Computer Use Agents
In the rapidly evolving landscape of AI-driven automation, Zhipu AI has introduced ComputerRL, a groundbreaking framework designed to empower agents with the ability to navigate and manipulate complex digital workspaces. This innovation addresses a core challenge in AI agent development: the disconnect between computer agents and human-designed graphical user interfaces (GUIs). By integrating programmatic API…
Framework Desktop review: AMD’s Strix Halo in a petite, powerful, pricey PC
Why you can trust Tom’s Hardware Our expert reviewers spend hours testing and comparing products and services so you can choose the best for you. Find out more about how we test. When Framework built its first laptop, it was with the ethos of a desktop: repairable, customizable, and upgradable when new parts came out….
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 self.setup_gemini_config() self.agents: Dict[str, autogen.Agent] = {} self.group_chats: Dict[str, GroupChat] = {} def setup_gemini_config(self): “””Configure Gemini for AutoGen””” os.environ[“GOOGLE_API_KEY”] = self.gemini_api_key self.llm_config = { “config_list”: […
REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models
Large Reasoning Models (LRMs) have rapidly advanced, exhibiting impressive performance in complex problem-solving tasks across domains like mathematics, coding, and scientific reasoning. However, current evaluation approaches primarily focus on single-question testing, which reveals significant limitations. This article introduces REST (Reasoning Evaluation through Simultaneous Testing) — a novel multi-problem stress-testing framework designed to push LRMs beyond isolated problem-solving…