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Update app.py
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app.py
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@@ -19,10 +19,17 @@ model_links = {
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# Pull info about the model to display
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model_info = {
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"Meta-Llama-3-8B": {
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'description': """The Llama (
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\
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}
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}
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# Pull info about the model to display
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model_info = {
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"Meta-Llama-3-8B": {
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'description': """The **Meta-Llama 3 (8B)** is a cutting-edge **Large Language Model (LLM)** developed by Meta's AI team, comprising over 8 billion parameters. This model has been specifically fine-tuned for educational purposes to excel in interactive question-and-answer sessions.\n
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\n### Training Process:
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This Llama model was meticulously fine-tuned using science textbooks from the NCERT curriculum, which covers a wide range of subjects including Physics, Chemistry, Biology, and Environmental Science. The fine-tuning process utilized **Docker AutoTrain**, enabling scalable and automated training pipelines. The model was trained on datasets focusing on providing detailed, accurate responses in line with the NCERT syllabus.
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\n### Purpose:
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Llama-3 8B is designed to assist both students and educators by delivering clear, concise explanations to science-related questions. With a deep understanding of the NCERT curriculum, it helps break down complex scientific concepts, making learning easier and more engaging for students, while acting as an intuitive guide for teachers.
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\n### Specialized Features:
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- **Contextual Understanding**: Optimized to handle detailed science-related queries, ensuring high relevance in responses.
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- **Fine-Grained Knowledge**: Equipped to offer explanations on subjects ranging from basic scientific principles to advanced concepts, ideal for various educational levels.
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- **Accuracy and Reliability**: Trained with a focus on minimizing misinformation, this model prioritizes delivering trustworthy responses, tailored specifically for the education sector.\n
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This model is a testament to the potential of AI in revolutionizing education by offering students a personal, reliable assistant to clarify doubts and enrich their understanding of science.
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"""
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}
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}
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