Elevating Domain-Specific Model Performance with Precision Task-Specific Fine-Tuning
pandalla
company
AI & ML interests
DataTager, Panda Villa Tech Limited
Organization Card
Panda Villa Tech Limited
Grow Together ⭐
[GitHub | DataTager]
Long-term Focus:
- Our company is dedicated to long-term specialization in synthetic data, metaphysics, and psychology LLM, exploring how these fields can intersect with AI.
Product: DataTager
Website: DataTager.com
- Description: DataTager is a tool designed to evaluate and generate the training data needed for large language models. We believe it's more important for individuals and enterprises to fine-tune large models easily and create models tailored to their specific business needs, rather than just choosing models with the highest benchmarks.
Philosophy:
- We published a paper titled "AnyTaskTune," advocating that Task Fine-Tuning based on real-world scenarios is crucial. This approach is more significant than using universally high-scoring models.
Resources:
- We have open-sourced various subtask datasets across multiple domains to support the community. These resources are available on our website for anyone interested in specific task fine-tuning.
Explore more on how to fine-tune your tasks efficiently with our resources at DataTager.com.
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Elevating Domain-Specific Model Performance with Precision Task-Specific Fine-Tuning
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pandalla/datatager_clinical_question_enhancement
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pandalla/datatager_extract_med_information
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pandalla/datatager_symptom_recognition_and_advice
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pandalla/datatager_standard_med_question
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pandalla/ChatLaw2-MoE
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pandalla/MBTIGPT_en_ESFP
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pandalla/MBTIGPT_en_ESTP
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pandalla/pandalla-math-dataset-v1.0
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pandalla/datatager_social_and_emotional_risk_assessment
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pandalla/datatager_standard_med_question
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pandalla/datatager_hospital_service_feedback_analysis
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pandalla/datatager_standard_finance_question
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pandalla/datatager_legal_question_enhancement
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pandalla/datatager_legal_extract_information
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