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Practical articles and engineering guides on LLM Engineering: model selection, prompting, context windows, structured output, cost and latency tradeoffs.
Run a local LLM with Ollama and call it from C#: HttpClient, OllamaSharp and IChatClient, streaming, JSON output, embeddings, plus troubleshooting.
Read article โASP.NET Core vs Python FastAPI for AI APIs โ the same streaming LLM endpoint built in both, and a decision framework based on where your model actually runs.
Read article โGive the model what a human analyst would look at โ types, keys, join paths, column descriptions, allowed values, business rules โ as annotated DDL. Accuracy goes from 53% to 81%, and unsafe SQL executed drops to zero.
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