How to Safely Provide AI Tools with Actions and Functions In the rapidly evolving world of artificial intelligence, empowering AI tools with actions and functions—such as API calls, data processing,…
What’s New in Multimodal AI: Text, Images, Audio, and Video in One Model Multimodal AI has evolved from stitched-together pipelines into unified models that natively process text, images, audio, and…
Task Decomposition in AI: Hierarchical Planning, Subgoals, and Scalable Workflows Task decomposition in AI is the practice of breaking a complex objective into structured, manageable subtasks that can be executed,…
AI in Productivity Tools: Turning Docs, Email, and Chat into an Intelligent Workspace The modern workplace is a digital ecosystem built on a foundation of documents, emails, and chat messages….
AI Code Generation in 2025: From Autocomplete to Full App Scaffolding In 2025, AI code generation has leapt from clever autocomplete to project-aware app scaffolding that spins up repositories, CI/CD,…
Evaluating Large Language Models: Benchmarks, Leaderboards, and Real-World Performance In the rapidly evolving world of artificial intelligence, evaluating large language models (LLMs) is crucial for understanding their capabilities and limitations….
Human-in-the-Loop for AI Agents: Governance, Workflows, Metrics, and Real-World Design Patterns Human-in-the-Loop (HITL) for AI agents refers to the deliberate insertion of human oversight, review, and decision-making into autonomous or…
Synthetic Data for AI: When to Use It and When Not To Synthetic data has emerged as a transformative solution in artificial intelligence and machine learning, offering organizations an alternative…
Agentic AI for Customer Support: Autonomous, Safe, and Scalable Service Automation Agentic AI for customer support refers to autonomous, goal-driven AI systems that don’t just answer questions—they plan actions, consult…
Guardrails for Generative AI: Practical Frameworks, Technical Patterns, and Governance for Safe, Compliant LLMs Guardrails for generative AI are the policies, processes, and technical controls that keep large language models…