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AI girls and guys - Arxiv Doc - Automatic tagging - BERT - Discuté avec Raphaël - Document AI - Domain adaptation (NLP) - Emergence (AI) - Extreme Multi-label Classification - Fine-tuning - Generative Transformer LM - GitHub project - Good - Google - Information retrieval - Knowledge distillation - Knowledge Graph Completion - Knowledge Graph Embeddings - Knowledge Graphs - Language Model - Language Model: Adaptation - Language Models + Knowledge - Learning to rank - LLM - LMs: context length - Low-Resource NLP - Manik Varma - Microsoft Research - Neural Search - NLP: using Knowledge - NLP@Google - NLP@Meta - NLP girls and guys - NLP Teams - NLU - OpenAI - OpenAI GPT - Parameter-efficient fine-tuning (PEFT) - Pre-Trained Language Models - Quantization - Question Answering - Ranking (information retrieval) - Sentence Embeddings - Text, KG and embeddings - Text Classification - Text Embeddings - Transfer learning - Transformers -

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Microsoft, university researchers use AI to aid in study of ancient script on China’s “oracle bones” - Microsoft Stories Asia

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2023-01-30 A propos

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sl:creationDate : 2022-06-30
sl:creationTime : 2022-06-30T13:01:36Z
rdf:type : sl:Tag
skos:prefLabel : AI@Microsoft