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Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
See a live coding demo building an LLM analysis system, focusing on cost reduction via regex, data extraction, semantic caching, and observability.
A live coding demo walking through an LLM-powered document analysis system. I’ll run the pipeline live and show the code that makes it work.
Using regex and rule-based filters to reduce LLM API costs by 80%+
Extracting structured data from unstructured documents with Claude
Implementing semantic caching with Qdrant to avoid redundant API calls
Tracking LLM costs and latency with Langfuse
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