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Finetune OpenAI Embeddings In-Browser

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Finetune OpenAI Embeddings In-Browser

There's a lesser-known trick described in the OpenAI Cookbook. You can linearly transform a generic embedding space (like OpenAI’s) for your usecase with a well-tuned matrix multiply. I ported the cookbook technique into a standalone hardware-accelerated webapp, and added some UX to guide the process along. There are some examples on the homepage for out-of-the-box fun. With 30 seconds of training, I was able to improve performance by the first example by 15%.

Visit productView on Hacker NewsOct 18, 2023
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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: openai, open · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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