温馨提示：本站仅提供公开网络链接索引服务，不存储、不篡改任何第三方内容，所有内容版权归原作者所有
AI智能索引来源：http://www.ibm.com/think/insights/model-performance
点击访问原文链接

Think | IBM

进入原网站 导航首页
HomeCustomer onboarding Using AI to accelerate customer onboarding process Matthew Finio, Amanda DownieLarge language models The viral “car wash” LLM challenge doesn’t mean what you think it means Euny HongField service management AI in Field Service Management Ivan Belcic, Ian SmalleyModel Context Protocol How AI retraced the age of sail Sascha BrodskyArtificial intelligence What the viral “car wash” LLM challenge really means Frontier LLMs are falling for a trick question. The implications are surprisingly deep. Euny HongRegister now for Think 2026Artificial intelligenceAI agentsCloudSecurityAnalyticsMixture of ExpertsPrompt engineeringAI agentsAI AcademyBusiness automationDiscover more in artificial intelligenceNews AI reshapes entry-level jobs The recent narrative around AI and work has centered on job loss. But early data and hiring plans suggest a more complicated story. Keep ReadingNews How AI retraced the age of sail Sascha BrodskyNews What a new global AI safety report means for enterprise Sascha BrodskyNews How one IBM architect uses AI coding tools Sascha BrodskyInsight The guide to AI in field service management Ivan Belcic, Ian SmalleyNews OpenAI and Anthropic release new models Aili McConnonNews OpenClaw, Moltbook and the future of AI agents Aili McConnonGuide The 2026 guide to AI agents A comprehensive resource with explainers and hands-on tutorialsWebinar Building AI agents that work in the real world Learn how to combine agentic systems with deterministic workflows to balance flexibility with reliability, security, and governanceNews You can build an AI agent in minutes. Now what? As AI goes agentic, security and observability become mission-critical.News OpenClaw, Moltbook and the future of AI agents “It is very personal, it’s very easy, and you can get both very practical and very silly with it.”News How one IBM architect actually uses AI coding tools day to day Gabe Goodhart codes three projects at once—but he won’t let AI touch his version control. Here’s his process.Insight Agentic data management: The next evolution of enterprise data ecosystems Through the decision-making capabilities of AI-powered agents, enterprises are beginning to reinvent how they process, govern and use their data.News The biggest data trends for 2026 An IBM expert sees a few big shifts reshaping the data stack all at once.News AI and quantum trends in 2026 17 experts predict the year ahead.Report 5 business and technology trends executives should watch in 2026 IBM asked more than 1,000 C-suite executives how economic, geopolitical and technological factors would influence their decision-making in 2026.Insight Observability trends for 2026 In 2026, AI adoption will force organizations to make their observability strategies more intelligent, cost-effective and compatible with open standards.Podcast AI trends shaping 2026 The Mixture of Experts panelists recap 2025 and predict 2026.Insight 2026 goals for AI and technology leaders 2026 is an inflection point for enterprise AI: the agentic pivot.News Cybersecurity trends in 2026 New risks from autonomous AI and AI-assisted social engineeringInsight What the future of AI means for business Explore Gartner’s nine predictions for 2026 and how businesses can prepare.News What’s next for AI? The coming 12 months will be defined by the scramble to develop wiser models that think before they speak and do more with less.Subscribe todayData managementAI agentsMachine learningDevOpsPrompt engineeringCybersecurityInsight 10 AI dangers and risksExplainer What is quantum computing?Explainer What are AI agents?Explainer What is machine learning?Explainer What is cybersecurity?Explainer Agentic AI vs. generative AIListen to all IBM Think podcasts27 February 2026 The AI agent access problem: Can IAM handle AI? Listen to interview 527 February 2026 Mainframe modernization explained: COBOL and AI Watch episode 96Security Intelligence Exploits of public-facing apps are surging. Why? Watch episode 22Techsplainers What is code refactoring? Listen to episode 76AI in Action Foundation models accelerate space and climate science Watch episode 24Mixture of Experts India's USD 200B AI hub & Claude builds C compiler Watch episode 95Security Intelligence Romance scams: How they work, how they win and what we do about it Watch episode 21AI in Action Turning AI into business impact through data and strategy Watch episode 23Techsplainers What is electronic data interchange (EDI)? Listen to episode 71Smart Talks with IBM NASA and AI: Decoding Our Universe Watch episode 6Smart Talks with IBM NASA and AI: Decoding Our Universe Watch episode 66 February 2026 Bonus episode: Anthropic vs OpenAI: Claude Opus 4.6 & GPT-5.3-Codex Watch bonus episode2 February 2026 What is hybrid cloud? Listen to episode 6118 December When will quantum computers beat classical computers? Watch episode 613 November From elephants to AI agents: A CXO survival guide Watch season 2, episode 1312 September Why language models hallucinate, revisiting Amodei’s code prediction and AI in the job market Watch episode 72AI AcademyThink 2025 on demandExplore all videosA2A vs MCP: AI Agent Communication ExplainedDiscover more webinarsMay 13 | Governance Closing the identity gap: securing humans and AI at scaleApr 7 | AI agents IBM + AWS: The essential guide to scaling agentic AIMar 11 | Automation The future of enterprise AI: maximizing AI yield in the token economyOn-demand | Data for AI IBM and Pellera on breaking FP&A barriers with generative AIOn-demand | Automation How digital sovereignty shapes business and government strategy in 2026On-demand | AI agents Agentic IAM in practice: enforcing least privilege and auditability for AI agentsOn-demand | AI models Stop flying blind: How continuous FCA transforms risk management and asset lifeOn-demand | AI security Resilience reinvented: how to build a future-ready, AI-driven cyber-resilience strategyOn-demand | AI automation Compliance automation without codingOn-demand | Data for AI Turning data strategy into AI impactOn-demand | AI agents Unpacking the agentic AI journeyAI AgentsWhat is agentic AI?AI agent frameworks: Choosing the right foundation for your businessWhat is agentic architecture?What is a multi-agent system?AnalyticsGet high-quality data you need for enterprise AIWhat is predictive analytics?What is data governance?What is a data architecture?SecurityWhat is hacking?What is social engineering?What is open source intelligence (OSINT)?What is GRC (Governance, Risk and Compliance)?CloudWhat is infrastructure as a service (IaaS)?What are the benefits of cloud computing?What is software as a service (SaaS)?What is mobile application development?IT infrastructureWhat is the IT Infrastructure Library (ITIL)?What is a transaction processing system (TPS)?What is a field programmable gate array (FPGA)?What is the OSI model?Business operationsWhat is AI in supply chain?AI and the future of human resourcesA guide to AI in marketingThe future of AI in customer servicePrompt EngineeringWhat is prompt engineering?What is a prompt injection attack?What is chain of thought (CoT) prompting?AI jailbreak: Rooting out an evolving threatQuantumWhat is quantum-safe cryptography?What is quantum computing?What is a qubit?What is quantum cryptography?

智能索引记录