Added additional vision example
Browse files
README.md
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@@ -32,7 +32,11 @@ First in a series of experiments centering around fine-tuning for image captioni
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Mistral-7b-02 base model was fine-tuned using the [RealWorldQA dataset](https://huggingface.co/datasets/visheratin/realworldqa), originally provided by the X.Ai Team here: https://x.ai/blog/grok-1.5v
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<h1>Vision Results</h1>
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<img src="https://i.imgur.com/E9mS4Xb.jpeg" width="400"/>
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* Experiment yielded model that provides shorter, less verbose output for questions about pictures
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* The likelihood of hallucinations in output has decreased, however, the model can still be easily influenced to be inaccurate by the user
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Mistral-7b-02 base model was fine-tuned using the [RealWorldQA dataset](https://huggingface.co/datasets/visheratin/realworldqa), originally provided by the X.Ai Team here: https://x.ai/blog/grok-1.5v
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<h1>Vision Results</h1>
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Example 1
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<img src="https://i.imgur.com/E9mS4Xb.jpeg" width="400"/>
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Example 2
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<img src="https://i.imgur.com/SmTz1Yd.jpeg" width="400"/>
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* Experiment yielded model that provides shorter, less verbose output for questions about pictures
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* The likelihood of hallucinations in output has decreased, however, the model can still be easily influenced to be inaccurate by the user
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