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Adaption Labs launches API to generate AI training data from task descriptions

By PulseAugur Editorial · [2 sources] ·

Adaption Labs has launched 'Invent a Dataset,' a new feature that generates training data directly from a task description, eliminating the need for a seed corpus, schema, or manual labeling. This tool aims to improve model quality by creating datasets that more closely align with desired behaviors. The generated data can be exported in various formats like JSONL, CSV, or Parquet, and is integrated with Adaption's AutoScientist for co-optimized data and training recipes. AI

IMPACT Streamlines AI model training by automating dataset creation from task descriptions, potentially reducing development time and cost.

RANK_REASON Product launch of a new feature for AI development.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Adaption Labs launches API to generate AI training data from task descriptions

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0 / 100
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Tool
Product launch of a new feature for AI development.
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2 independent sources
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product, infra
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High
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49 days old
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COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Adaption Labs Introduces ‘Invent a Dataset’: Training Data Generated From a Task Description, Not a Seed Corpus

    <p>Adaption Labs has released Invent a Dataset, which generates a structured, training-ready dataset from a description of the behavior you want a model to learn. There is no seed corpus, no schema design, and no labeling guide. A single datasets.invent call sets domains, row cou…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Adaption Labs has released Invent a Dataset, an API that generates training data from a description of the behaviour you want a model to learn. No seed corpus,

    Adaption Labs has released Invent a Dataset, an API that generates training data from a description of the behaviour you want a model to learn. No seed corpus, schema design or labelling guide is required. The tool closes the intent-to-trained-model loop. https://www. marktechpos…

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