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    Announcement

    ‘Invent a Dataset’ technical report released

    Adaption AI says it released the report while asking how to post-train a model for a new capability with zero data.

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    TLDR

    Adaption AI announced its ‘Invent a Dataset’ technical report on October 1. It framed the release around a question: how do you post-train a model for a new capability when you have zero data? The company called curating high-quality, diverse data the biggest hurdle in frontier AI.

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    16 Sources, first seen 6h ago

    Combined views

    32.9K

    16 Sources, first seen 6h ago

    209 likes
    6h ago
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    Today's Rank

    #4

    Today's Rank

    #4

    16 Sources

    @adaption_aiThe biggest hurdle in frontier AI is curating high-quality, diverse data. What happens if you need to post-train a model for a new capability, but have zero data? Today, we release the technical report for Invent a Dataset.
    @sarahookrRT @adaption_ai: The biggest hurdle in frontier AI is curating high-quality, diverse data. What happens if you need to post-train a model…
    @CShorten30@sarahookr @singhshiviii @andrijazzz @lekeonilude @sudip_r0y 🔥🔥
    @weiyinko_mlPlease take a look at our Invent-a-Dataset technical report, an one-of-a-kind approach to data generation you can use today on our platform! Big congrats to @singhshiviii @andrijazzz, and @lekeonilude on the release.
    @MLStreetTalk> We introduce Invent-a-Dataset which is a prompt based system to go from dataset description to realistic and large scale post-training datasets. Soon we will be describing the datasets we want to post train by synthesising data from said description, adaptive specialisation always wins for specific domains! @sarahookr and @singhshiviii and others had their hands all over this so definitely check it out.
    @dariuslScarcity of data has always been a massive bottleneck when it comes to building enterprise-sovereign AI systems. Invent-a-dataset changes the game and represents a massive unlock in allowing anyone to create an AI-ready dataset.
    @IsabelleAtCampMy favourite kind of research is the kind that breaks a default everyone’s relying on. This one does that for synthetic training data. The team’s latest research drop is live! 👇
    @MilksandMatchaThis is so exciting. Congrats to team @sarahookr :)
    @singhshiviiiWe recently launched Invent-a-dataset that allows creating post-training datasets using just a natural language description 📖 🖊️ Today we share an extensive technical report evaluating Invent API against using frontier proprietary and open-weight LLMs for data generation ✨🧵

    16 Sources

    @adaption_aiThe biggest hurdle in frontier AI is curating high-quality, diverse data. What happens if you need to post-train a model for a new capability, but have zero data? Today, we release the technical report for Invent a Dataset.
    @sarahookrRT @adaption_ai: The biggest hurdle in frontier AI is curating high-quality, diverse data. What happens if you need to post-train a model…
    @CShorten30@sarahookr @singhshiviii @andrijazzz @lekeonilude @sudip_r0y 🔥🔥
    @weiyinko_mlPlease take a look at our Invent-a-Dataset technical report, an one-of-a-kind approach to data generation you can use today on our platform! Big congrats to @singhshiviii @andrijazzz, and @lekeonilude on the release.
    @MLStreetTalk> We introduce Invent-a-Dataset which is a prompt based system to go from dataset description to realistic and large scale post-training datasets. Soon we will be describing the datasets we want to post train by synthesising data from said description, adaptive specialisation always wins for specific domains! @sarahookr and @singhshiviii and others had their hands all over this so definitely check it out.
    @dariuslScarcity of data has always been a massive bottleneck when it comes to building enterprise-sovereign AI systems. Invent-a-dataset changes the game and represents a massive unlock in allowing anyone to create an AI-ready dataset.
    @IsabelleAtCampMy favourite kind of research is the kind that breaks a default everyone’s relying on. This one does that for synthetic training data. The team’s latest research drop is live! 👇
    @MilksandMatchaThis is so exciting. Congrats to team @sarahookr :)
    @singhshiviiiWe recently launched Invent-a-dataset that allows creating post-training datasets using just a natural language description 📖 🖊️ Today we share an extensive technical report evaluating Invent API against using frontier proprietary and open-weight LLMs for data generation ✨🧵