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Computer Vision
Video Understanding Is a Frame Selection Problem
Processing every frame of an hour of footage is prohibitively expensive and mostly redundant, because consecutive frames are nearly identical.
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AI in Business
The Build-or-Buy Question for AI Is About Differentiation
Building a capability every competitor can purchase wastes effort. Buying the thing that distinguishes you outsources your advantage.
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LLMs & Generative AI
Fine-Tuning Teaches Behaviour, RAG Supplies Facts
Teams reach for fine-tuning to inject knowledge and get an expensive model that hallucinates confidently in the right format.
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LLMs & Generative AI
Changing Your Embedding Model Invalidates Every Vector You Stored
Vectors from two different models occupy incompatible spaces. Mixing them silently produces nonsense similarity scores with no error anywhere.
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AI Ethics & Policy
Model Portability Is an Architecture Decision Made on Day One
Prompts tuned to one model's quirks, provider-specific tool formats and proprietary embeddings each raise the cost of ever switching.
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MLOps & Infrastructure
Model Monitoring Needs the Signals That Arrive Before Labels Do
Accuracy requires ground truth that may take weeks to arrive. Input distribution and prediction distribution are available immediately.
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Computer Vision
Building Image Generation Into Products: The Parts Tutorials Skip
Generating an image is one API call. Shipping image generation to users means queueing, moderation, provenance, cost control, and handling…
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Synthetic Training Data Amplifies the Gaps It Was Meant to Fill
Generating examples from a model that already underperforms on rare cases produces more of what it already knows, not what…
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MLOps & Infrastructure
One Job Per GPU Wastes Most of the GPU
Exclusive allocation is simple and leaves accelerators idle between batches, during data loading, and whenever a job is smaller than…
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LLMs & Generative AI
Detecting Hallucinations Without Another Model
Several cheap deterministic checks catch a substantial fraction of fabricated output before it reaches a user, and none of them…
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