Summary: Dive into this episode to explore the forefront of AI technology, focusing on the innovative DETR (DEtection TRansformer) model and its integration by Hugging Face. We delve into the latest advancements in object detection, highlighting key features and improvements brought by the RT-DETR model. Additionally, we discuss significant AI research developments, including DeepMind's GEMMA 2 report, Meta's large language model compiler, and the ESM-3 protein language model. This episode offers a comprehensive overview of current trends and breakthroughs in AI, providing valuable insights for professionals and industry experts.
Tune in to discover how these cutting-edge technologies are revolutionizing AI!
Tags: #DETR #HuggingFace #ArtificialIntelligence #MachineLearning #AINews
AI News:

⁠https://huggingface.co/docs/transformers/model_doc/detr⁠

⁠https://github.com/merveenoyan/example_notebooks/blob/main/RT_DETR_Notebook.ipynb⁠

⁠https://storage.googleapis.com/deepmind-media/gemma/gemma-2-report.pdf?utm_source=substack&utm_medium=email⁠

⁠https://ai.meta.com/research/publications/meta-large-language-model-compiler-foundation-models-of-compiler-optimization/?utm_source=substack&utm_medium=email⁠

⁠https://evolutionaryscale-public.s3.us-east-2.amazonaws.com/research/esm3.pdf⁠


References for main topic:

⁠https://arxiv.org/abs/2005.12872⁠

⁠https://paperswithcode.com/paper/end-to-end-object-detection-with-transformers⁠

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