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Cedille, the largest French language model, released in open source

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Cedille, the largest French language model, released in open source

We are excited to announce Cedille, the largest language model for French (6b parameters). Demo: https://cedille.ai Language models are general purpose AI systems that are able to solve a range of tasks by simply being prompted for it. It can be used for example to summarize text, do translations, or for idea generation & overcoming writer's block. You may know GPT-3, the humongous model from OpenAI. Cedille is a similar model targeting the French demographic - but smaller, as we don’t yet have $1b in the bank like they do. Although GPT-3 supports multiple languages including French, our model is competitive with GPT-3 on a range of French tasks! Plus, of course we’re open source while they keep their model closed and heavily restrict access to it. You can try it out right away from our playground: https://app.cedille.ai We are proponents of “open AI” and as such have released a checkpoint for the world to use (MIT license): https://github.com/coteries/cedille-ai One of the problems with large language models is the potentially toxic, sexist or in other ways unpleasant output. We tried our best to avoid this issue by doing extensive dataset filtering. As a result, our benchmark indicates that Cedille is indeed less toxic than GPT-3.

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, openai · Missing: mac, agents, macos
83%83% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: supports, para, including · Missing: reddit linkedin, podcasting, created
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, open source · Missing: https docs, just released, lua
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: way, para · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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