T-Tech

AI & ML interests

Scientific research; Natural language processing: speech analytics, search engines, dialogue systems; A family of LLMs; Speech technologies; Fraud prevention technologies; Computer vision; Recommender systems; Time series analysis

Recent Activity

elephantmipt  authored a paper about 1 month ago

Train Sparse Autoencoders Efficiently by Utilizing Features Correlation

kefirski  authored a paper about 1 month ago

Train Sparse Autoencoders Efficiently by Utilizing Features Correlation

germanjke  new activity about 1 month ago

t-tech/T-pro-it-1.0:Единые GGUF репозитории

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Team members 14