AdvancedAgentic AI architecture: the loop and what breaks
An agent is a loop with tools and a stopping condition. Context growth, error handling, termination — and when to write a chain instead.
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Advanced
AdvancedMCP and tool calling: designing tools an LLM can use
Tool calling fails at the interface, not the model. Schema design, descriptions, error contracts, and what MCP actually standardises.
AdvancedLLM evaluation: grading a model with no right answer
Vibes do not scale and BLEU measures nothing you care about. Eval sets, LLM-as-judge without fooling yourself, and the biases that corrupt it.
AdvancedFine-tuning vs RAG: how to actually choose
Fine-tuning teaches behaviour, RAG supplies facts. A decision framework, the LoRA maths, real costs, and the cheaper ladder to climb first.