Pin-Point LLM Fine Tuning
Large Language Model Fine-Tuning refers to the process of adapting a pre-trained language system to a specific task or domain by further training it on task-specific data. This process allows developers to tailor these systems to perform better on specific jobs, such as text generation, translation, summarization, or classification, by providing them with additional training data relevant to the job at hand.
What We Offer
Companies looking for LLM optimization can benefit from our language model fine tuning services. We help with fine tuning language models through high-quality data annotation:
Text classification
Assigning a category or label to each text sample.
Sequence labeling
Identifying and labeling specific entities or features within the text, such as named entities or parts of speech.
Sentiment analysis
Assigning sentiment labels (positive, negative, neutral) to text samples.
Question answering
Providing answers or relevant passages
for given questions.
Text Localization
Managing the content acc.local specification (specific culture, language dialect) or content for specific group of people (game players, bloggers, advisors)
Summarization
Identifying key points or summarizing text passages.
Your Benefits
There are many benefits to trusting us with your LLM performance enhancement needs. 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
Our clients
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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).