Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Master the art of writing effective system prompts for Claude. Covers structural patterns, role definition, constraint specification, output formatting, common mistakes, and advanced techniques for production-grade prompts.
Microsoft Dynamics 365 adds agentic AI for end-to-end supply chain automation from procurement to fulfillment. See how enterprises cut cycle times.
Using Claude to modernize legacy codebases -- generating tests, recovering documentation, incremental language migration, and avoiding common failure modes.
Objective technical comparison of the Claude API and OpenAI API for building AI agents. Covers tool calling, streaming, pricing, context windows, agent frameworks, and real-world performance benchmarks.
Move beyond simple accuracy metrics for LLM evaluation. Learn to measure usefulness, safety, cost-efficiency, latency, and user satisfaction — the metrics that predict production success.
How multi-modal AI agents process and reason across images, audio, video, and text simultaneously, with real-world applications in document processing, robotics, and customer service.
Compare CallSphere and Synthflow for AI voice agents. See features, pricing, compliance, and which platform is better for your business.
A comprehensive guide to how AI agents are transforming anti-money laundering monitoring, transaction surveillance, and regulatory compliance in banking across the US, EU, Singapore, and UAE.
Concrete guidance for engineers building AI systems -- bias detection, fairness testing, transparency requirements, and responsible deployment practices.
