Whisper
OpenAI's open-source speech recognition model that achieves near-human accuracy across 99 languages, trained on 680,000 hours of multilingual audio data.
Whisper, released in September 2022, was trained on 680,000 hours of audio data scraped from the web, giving it robust performance across accents, background noise, and technical language. The model approaches human-level accuracy in English transcription and supports translation from 98 languages into English. Whisper has been downloaded millions of times and integrated into thousands of applications. Its open-source availability disrupted the commercial transcription market, which was previously dominated by expensive proprietary solutions.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
Frontier Model
The most capable and advanced AI models at any given time, typically trained with the largest compute budgets and achieving state-of-the-art performance on benchmarks.
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