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README.md
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@@ -90,7 +90,6 @@ The final stage implements DPO by first generating responses to images using the
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## What's next for Omnivision?
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Omnivision is in early development and we are working to address current limitations:
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- Expand DPO Training: Increase the scope of DPO (Direct Preference Optimization) training in an iterative process to continually improve model performance and response quality.
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- Develop an Action + Conversation Model: Leverage Omnivision’s vision and conversational capacities to build an action model capable of understanding and interacting with visual and text inputs.
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- Improve document and text understanding
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In the long term, we aim to develop Omnivision as a fully optimized, production-ready solution for edge AI multimodal applications.
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## What's next for Omnivision?
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91 |
Omnivision is in early development and we are working to address current limitations:
|
92 |
- Expand DPO Training: Increase the scope of DPO (Direct Preference Optimization) training in an iterative process to continually improve model performance and response quality.
|
|
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- Improve document and text understanding
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In the long term, we aim to develop Omnivision as a fully optimized, production-ready solution for edge AI multimodal applications.
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