Fast Inference Shift

[๐๐] ๐ช๐ต๐ถ๐ฐ๐ต ๐ป๐ฒ๐ ๐ฑ๐ฒ๐๐ถ๐ด๐ป ๐๐ฝ๐ฎ๐ฐ๐ฒ ๐ถ๐ ๐๐ป๐น๐ผ๐ฐ๐ธ๐ฒ๐ฑ ๐ณ๐ฟ๐ผ๐บ ๐ฝ๐ฟ๐ฒ-๐ฐ๐ผ๐บ๐ฝ๐๐๐ฒ๐ฑ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐ผ ๐ถ๐ป๐๐๐ฎ๐ป๐ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ?
๐ข๐น๐ฑ ๐๐ฎ๐: ๐ฝ๐ฟ๐ฒ-๐ฐ๐ผ๐บ๐ฝ๐๐๐ฒ๐ฑ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ
- Generate responses in ๐ป๐ถ๐ด๐ต๐๐น๐ ๐ฏ๐ฎ๐๐ฐ๐ต ๐ท๐ผ๐ฏ๐
- Store them in a database
- Serve them later to users
That meant the output could be ๐ต๐ผ๐๐ฟ๐ ๐ผ๐ฟ ๐ฒ๐๐ฒ๐ป ๐ฎ ๐ฑ๐ฎ๐ ๐ผ๐น๐ฑ. It was basically โ๐ฎ๐๐๐ป๐ฐ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒโ โ the thinking happened long before the user showed up. If you tried to do it live with slow models, youโd need a loading screen or fallback.
๐ก๐ฒ๐ ๐๐ฎ๐: ๐ถ๐ป๐๐๐ฎ๐ป๐ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ
- ๐ฃ๐ฒ๐ฟ๐๐ผ๐ป๐ฎ๐น๐ถ๐๐ฒ ๐ถ๐ป ๐๐ต๐ฒ ๐บ๐ผ๐บ๐ฒ๐ป๐
- Use live user and market signals
- Respond in ๐ฎ๐ฌ๐ฌโ๐ฐ๐ฌ๐ฌ ๐บ๐
- Feel immediate, native, and handcrafted
Instead of serving something pre-baked, the product can generate the right answer ๐ฟ๐ถ๐ด๐ต๐ ๐๐ต๐ฒ๐ป ๐๐ต๐ฒ ๐๐๐ฒ๐ฟ ๐ป๐ฒ๐ฒ๐ฑ๐ ๐ถ๐.
๐ง๐ต๐ถ๐ ๐๐ป๐น๐ผ๐ฐ๐ธ๐ ๐ฎ ๐ป๐ฒ๐ ๐ฑ๐ฒ๐๐ถ๐ด๐ป ๐๐ฝ๐ฎ๐ฐ๐ฒ:
- No stale recommendations
- No batch delays
- No generic experiences
#AI
Originally published on LinkedIn.
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