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natolambert
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2cb4cc7
1
Parent(s):
5343f2a
add embodied internship question
Browse files
app.py
CHANGED
@@ -88,6 +88,33 @@ References
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- BLEU score: https://en.wikipedia.org/wiki/BLEU
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"""
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internships = {
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'Accelerate': default_question,
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'Diffusion distillation': default_question,
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@@ -97,7 +124,7 @@ internships = {
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"Evaluate": evaluate_question,
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"ASR": default_question,
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"Efficient video pretraining": default_question,
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"Embodied AI":
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"Emergence of scene and text understanding": default_question,
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"Everything is multimodal": default_question,
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"Everything is vision": default_question,
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- BLEU score: https://en.wikipedia.org/wiki/BLEU
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"""
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embodied_question = """
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We are going to use <a href="https://github.com/huggingface/simulate"> Simulate </a> to create a basic RL environment.
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<br/><br/>
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Instructions:
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<br/>
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pip install simulate
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<br/>
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create a scene with the unity engine
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<br/>
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add a box to the scene at position [0, 0, 1], add a camera named "cam" at default position
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<br/>
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show the scene, step the scene once
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<br/>
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what is the mean pixel value from the even frames from "cam".
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<br/><br/>
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For some resources, you may want to check out:
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* <a href="https://huggingface.co/docs/simulate/main/en/quicktour"> Simulate quick start </a> for installation,
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* <a href="https://huggingface.co/docs/simulate/main/en/tutorials/running_the_simulation#running-the-simulation" simulation stepping <a> for running the simulation.
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"""
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internships = {
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'Accelerate': default_question,
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'Diffusion distillation': default_question,
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"Evaluate": evaluate_question,
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"ASR": default_question,
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"Efficient video pretraining": default_question,
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"Embodied AI": embodied_question,
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"Emergence of scene and text understanding": default_question,
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"Everything is multimodal": default_question,
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"Everything is vision": default_question,
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