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MLPerf Inference v5.1 (2025): Results Explained for GPUs, CPUs, and AI Accelerators Understanding the Target Audience The target audience for MLPerf Inference v5.1 includes AI researchers, data scientists, IT decision-makers, and business leaders involved in AI and machine learning implementations. These professionals are typically concerned with the performance and efficiency of AI systems across various…
Overview The Model Context Protocol (MCP) is an open, JSON-RPC–based standard that formalizes how AI clients (assistants, IDEs, web apps) connect to servers exposing three primitives—tools, resources, and prompts—over defined transports (primarily stdio for local and Streamable HTTP for remote). MCP’s value for security work is that it renders agent/tool interactions explicit and auditable, with…
Understanding the Target Audience for ReasoningBank The target audience for Google AI’s ReasoningBank framework includes AI researchers, business leaders in technology, and software engineers interested in enhancing the capabilities of LLM (Large Language Model) agents. This audience typically consists of professionals in AI development, product management, and data science with a focus on implementing effective…
How to Build an Advanced Agentic Retrieval-Augmented Generation (RAG) System with Dynamic Strategy and Smart Retrieval In this tutorial, we walk through the implementation of an Agentic Retrieval-Augmented Generation (RAG) system. This system is designed to do more than just retrieve documents; it actively decides when retrieval is needed, selects the best retrieval strategy, and…
Zhipu AI Releases GLM-4.6: Achieving Enhancements in Real-World Coding, Long-Context Processing, Reasoning, Searching and Agentic AI Zhipu AI has announced the release of GLM-4.6, a significant update to its GLM series. This version focuses on agentic workflows, long-context reasoning, and practical coding tasks, aiming to enhance the user experience in real-world applications. Key Features of…
OpenAI Launches Sora 2 and a Consent-Gated Sora iOS App Understanding the Target Audience The target audience for OpenAI’s Sora 2 and the Sora iOS app includes content creators, businesses involved in media production, educators, and parents concerned about digital safety. These users are typically tech-savvy and interested in leveraging AI for creative purposes. Their…
Delinea Released an MCP Server to Put Guardrails Around AI Agents Credential Access Understanding the Target Audience The primary audience for this release includes IT security professionals, enterprise architects, and decision-makers within organizations that utilize AI agents for operational functions. This audience is typically concerned with: Ensuring secure credential management Compliance with regulatory standards Mitigating…
«`html DeepSeek V3.2-Exp Cuts Long-Context Costs with DeepSeek Sparse Attention (DSA) While Maintaining Benchmark Parity Understanding the Target Audience The primary audience for DeepSeek V3.2-Exp includes AI developers, data scientists, and business managers who are focused on enhancing the efficiency of large language models (LLMs) in enterprise applications. Their pain points often revolve around high…
«`html A Coding Guide to Build a Hierarchical Supervisor Agent Framework with CrewAI and Google Gemini for Coordinated Multi-Agent Workflows In this tutorial, we walk you through the design and implementation of an advanced Supervisor Agent Framework using CrewAI with the Google Gemini model. We set up specialized agents, including researchers, analysts, writers, and reviewers,…
Anthropic Launches Claude Sonnet 4.5 with New Coding and Agentic State-of-the-Art Results Anthropic has released Claude Sonnet 4.5, setting a new benchmark for end-to-end software engineering and real-world computer use. This update includes significant product enhancements such as Claude Code checkpoints, a native VS Code extension, API memory/context tools, and an Agent SDK that replicates…