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Whisper

Whisper is an autoregressive language model developed by OpenAI. It is trained on a large corpus of text using a transformer architecture and is capable of generating high-quality natural language text. Whisper can be used for tasks such as language modeling, text completion, and text generation. It has shown impressive performance on various benchmarks and has been released by OpenAI to encourage research in the field of language modeling. Whisper is not yet available for public use, but it has the potential to transform the field of natural language processing and generate new opportunities for language-based applications.

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🚀 Complete self-hosted AI stack with 40+ services: Transform YouTube videos & PDFs into AI podcasts (Open Notebook), local LLMs (Ollama CPU/GPU), workflow automation (n8n), AI agents (Flowise), vector databases (Qdrant), German TTS voice, and business tools. One-command Docker deployment. perfect for learning, development, and private teams.

  • Updated Apr 5, 2026
  • Shell

The Ultimate AI-to-AI Hybrid Transcription Tool! A master-class Colab notebook for fully automated transcription that captures every technical term using Whisper and Gemini. / AI×AIのハイブリッド文字起こしの決定版! WhisperとGeminiを使って、専門用語も逃さず全自動で文字起こしする究極のColabノートブック

  • Updated Mar 24, 2026
  • Jupyter Notebook

Created by OpenAI

Released August 2021

Latest release 10 months ago

Followers
165 followers
Repository
openai/whisper
Website
github.com/topics/whisper

Related topics

artificial-intelligence language-modeling machine-learning