Yapay Zeka Ajanları
Yapay zekâ ajanları, karmaşık görevlere yardımcı olmak veya bunları otomatikleştirmek için akıl yürütme, planlama ve araçlar kullanan yazılım sistemleridir. En iyi açık kaynaklı ve ticari ajanları karşılaştırıyoruz.
Yapay Zeka Ajanlarının Güvenliğine Yönelik 15 Tehdit
Even a few years ago, the unpredictability of large language models (LLMs) would have posed serious challenges. One notable early case involved ChatGPT’s search tool: researchers found that webpages designed with hidden instructions (e.g., embedded prompt-injection text) could reliably cause the tool to produce biased, misleading outputs, despite the presence of contrary information.
QA için En İyi 7 Yapay Zeka Test Ajanı
We evaluated AI testing platforms embedded with AI agents; most were overhyped Selenium/Playwright with marketing. A few were capable of writing/maintaining test cases or visual testing, though even these tools still have notable limitations. From these, we selected 7 platforms and categorized them by their primary focus areas.
Agentic LLM Benchmark: Önde Gelen Modeller Karşılaştırıldı
We benchmarked the top LLMs across 10 software development tasks by using an agentic CLI tool. We executed ~3,500 automated validation steps per model across both API and UI layers. Agentic LLM benchmark results Success rate comparison Each alias ran 3 times across 10 tasks (30 samples per alias, 230 cells per iteration).
AI Agent Sprawl Signs & Checklist to Manage Sprawl
Nearly 80% of organizations have deployed agentic AI. Yet only 21% have a mature governance model for these systems. The gap shows up in practice as agent sprawl, a buildup of redundant, ungoverned, and conflicting AI agents across the business.
OpenClaw Ekosistemi: 9 Yapay Zeka Ajanı Odaklı Platform
AI agents are no longer just tools that answer questions. In the OpenClaw ecosystem, they live in cities, earn money, trade, socialize, form beliefs, and sometimes take risks. We map that ecosystem, from simulated worlds and marketplaces to social networks and infrastructure that lets agents persist on their own.
Kişisel AI Ajanları Oluşturma + 18 Ajan Platformu ve Aracı
We spent the two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: 1.
Agentic CLI Araçları: Codex vs Claude Code
Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project.
Yapay Zeka Ajan Tuzakları: 20 Gerçek Hayat Olayı
AI agent adoption has outpaced AI agent security: 82% of enterprises now deploy agents, but only 44% have policies to secure them, and one in five organizations has already experienced an agent-related breach.
Düşük/Kodsuz AI Ajan Oluşturucuları: n8n,make, Zapier
Low- and no-code AI agent builders let users create automated, AI-driven workflows without writing complex code, making agent development faster and accessible to non-technical teams.
Yerel AI Ajanları: Goose, Observer AI, AnythingLLM
Local AI agents are often described as offline, on-device, or fully local. We spent three days mapping the ecosystem of local AI agents that run autonomously on personal hardware without depending on external APIs or cloud services.