Use GPT-NeoX to generate quotes

Hacker News

We fine-tuned the 20B parameter GPT-Neox model by EleutherAI to generate quotes, and build a small web app around it. Generate Quotes: https://neox.labml.ai/quote We open-sourced the code we used to fine-tune the GPT-NeoX model. Annotated implementation: https://nn.labml.ai/neox/index.html Github: https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/neox Original EleutherAI GPT-Neox GitHub repo: https://github.com/EleutherAI/gpt-neox GPT-NeoX playground: https://neox.labml.ai

Visit product View on Hacker NewsAug 14, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, code, open · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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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