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Airbnb replaced rigid phone menus with four ML models running in real time: ASR, intent detection, semantic retrieval, and paraphrasing. WER dropped from 33% to 10%.
Netflix's recommendation engine drives 80% of viewing. Here's how they built a post-training framework to adapt LLMs for their catalogue from SFT to RL.
Stripe and OpenAI co-built ACP, an open standard for AI agents to make purchases. It already powers Instant Checkout in ChatGPT. Here's how it works.
Uber Eats search couldn't handle 'gf pizza' or 'something spicy.' Here's how they rebuilt it with semantic embeddings, and kept it running at scale.