Audio Transcription Pipeline Patterns
End-to-end patterns for audio transcription at scale. Pre-processing, model selection, speaker diarization, and post-processing for …
End-to-end patterns for audio transcription at scale. Pre-processing, model selection, speaker diarization, and post-processing for …
Architecture and lessons from building a production document processing pipeline that extracts, validates, and routes financial documents …
What continuous training is, how automated retraining pipelines keep ML models current, and the triggers and safeguards needed for …
End-to-end patterns for generating, storing, and querying embeddings at scale. Chunking strategies, vector database selection, and index …
Production pipeline design for LLM-specific operations: prompt management, evaluation, deployment, monitoring, and cost tracking across the …
How to design and build NLP pipelines for enterprise applications, covering text processing, entity extraction, classification, and …
Automated detection and removal of personally identifiable information from LLM inputs and outputs: detection strategies, redaction methods, …
Building production sentiment analysis pipelines. Multi-dimensional sentiment, aspect-based analysis, and real-time monitoring at scale.
Building production translation pipelines with AI. Terminology management, quality assurance, and multi-language orchestration patterns.
Architecture patterns for AI-powered video analysis. Frame extraction, multi-modal analysis, temporal alignment, and cost management …
Apply cheap analysis first, score results, then apply expensive analysis only to candidates that pass a threshold. Reduces AI API costs by …
Architecture and lessons from building a production AI pipeline that processes, indexes, and makes searchable a large library of broadcast …
Architecture for an AI system that processes multi-track audio from film production, identifying issues, categorizing content, and …