Technical girls and guys ; Software AND NLP@Microsoft
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13 Documents
Jeremy Howard sur X : "FSDP/QDoRA with Llama3 : I believe that this combination is likely to create better task-specific models than anything else at any cost."
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2024-04-23 About
Answer.AI - You can now train a 70b language model at home
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2024-03-09 About
Sebastien Bubeck sur X : "How far does one billion parameters take you? ... Releasing phi-1.5, a 1.3B parameter LLM exhibiting emergent behaviors surprisingly close to much larger LLMs"
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2023-09-12 About
State of GPT (Andrej Karpathy at Microsoft Build)
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2023-05-24 About
Talking to Models: Stanford U & Microsoft Method Enables Developers to Correct Model Bugs via Natural Language Patches | Synced
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2022-11-27 About
The Extreme Classification Repository
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2020-08-12 About
Everything you always wanted to know about extreme classification (but were afraid to ask) - Microsoft Research - 2019
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2020-08-12 About
SLEEC: Sparse Local Embeddings for Extreme Multi-label Classification (2015)
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2020-08-11 About
Neural Models for Information Retrieval (2017)
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2019-08-18 About
[1602.01137] A Dual Embedding Space Model for Document Ranking
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2019-07-17 About
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation (2018)
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2018-03-04 About
Vectorland: Brief Notes from Using Text Embeddings for Search
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2017-09-18 About
Using Text Embeddings for Information Retrieval
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2017-09-18 About