Elevate the Precision
of Generative AI
Our generative AI services offer precise data labeling and categorization, globally enhancing your model’s training. We assemble a diverse team of annotators, proficient in over 40 languages, for multilingual text generation, content writing, evaluation, and more.
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We Offer All the Data Annotation You Need for Generative AI Products
Our wide range of data annotation services for generative AI includes:
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LLM fine tuning
This process involves initializing the pre-trained model with its existing weights and then updating those weights using a smaller dataset related to the target task. We can help you label needed data with text classification, text generation and localization, or language translation and anything else needed for your LLM infrastructure.
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LLM prompt engineering
If you are looking to engineer input prompts tailored to large language models to shape their outputs towards desired outcomes, we got you covered. Our teams of multilingual annotators will produce prompt responses that align with specific goals, whether it’s generating coherent text, answering questions accurately and finding the consensus between evaluators, or completing tasks effectively.
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Content management services
We will annotate your text data with relevant metadata or tags to provide additional context or guidance for the LLM during training or fine-tuning. We conduct comprehensive quality checks and validation procedures to ensure the integrity, accuracy, and reliability of the data used for training or fine-tuning LLMs.
Your Benefits
There are many benefits of working with a global data annotation provider like Mindy Support. These include:
Our Global Presence
Since Mindy Support has office locations all over the world, we are able to provide worldwide recruiting and multilingual services in 40+ languages. Having such a wide global footprint allows us to cover all data annotation services needed to develop generative AI LLM solutions.
Case Studies
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Let’s Expand with Mindy!
We have a minimum threshold for starting any new project, which is 735 productive man-hours a month (equivalent to 5 graphic annotators working on the task monthly).