AI Application Architecture: Building for Scale and Efficiency
summary
A platform called broad GPT with secure services implements a layer of abstraction over OpenAI, Llama 2 and Claude-style models so apps switch models without code changes; eight production LLM solutions validate the approach. The platform enforces prompt pre/post‑processing, reuses cached answers to cut costs, automates A/Bing of prompts with a claimed 90% prompt compatibility when upgrading, and runs standardized MLOps pipelines that detect data/model drift (example: accuracy falling from 98% to 70%) and trigger retraining.
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chapters (7)
- 0:00Introduction to AI architecture
- 3:33Platform-based approach to AI
- 7:48Layer of abstraction for LLMs
- 14:46Choosing LLM models and governance
- 18:57Predictive AI and ML Ops
- 24:40Augmenting generative AI with predictive AI
- 29:17Summary and Q&A
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