// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Whisper
Whisper is an AI model from OpenAI that can accurately transcribe spoken language into text and translate it into different languages.
TECHNICAL DEFINITION
Whisper is a robust automatic speech recognition (ASR) system developed by OpenAI, trained on a large dataset of diverse audio and text, capable of performing multilingual speech recognition and speech translation.
BACKGROUND
Prompt injection is a cybersecurity exploit and an attack vector in which innocuous-looking inputs are designed to cause unintended behavior in machine learning models, particularly large language models (LLMs). The attack takes advantage of the model's inability to distinguish between developer-defined prompts and user inputs to bypass safeguards and influence model behaviour. While LLMs are designed to follow trusted instructions, they can be manipulated into carrying out unintended responses through carefully crafted inputs.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- OpenAI Whisper
- ASR model
- Speech-to-text
USAGE NOTE
Excellent for transcribing audio, creating subtitles, and enabling voice interfaces in multiple languages.
DEVELOPERS
Organizations developing technology related to Whisper.
The original creator of the Whisper models, a family of multilingual, general-purpose automatic speech recognition (ASR) systems trained on a large dataset of diverse audio.
Provides open-source tools and a platform for the machine learning community. They host the Whisper models and provide easy access through their 'transformers' library, enabling developers to use, fine-tune, and deploy the ASR technology.
Develops hardware (GPUs) and software (TensorRT, Triton Inference Server) that significantly accelerate the inference speed of large models like Whisper. They have published optimized versions and techniques for running Whisper efficiently.
A leading provider of Speech-to-Text APIs. While developing their own proprietary ASR models, they also offer access to Whisper through their platform, providing a comprehensive suite of speech AI services.
An AI company offering enterprise-grade speech-to-text and audio intelligence APIs. They develop their own deep learning ASR models, often focusing on high speed and accuracy, and are a major competitor and alternative to Whisper.
A company that has built a speech-to-text API specifically designed to be a faster, more cost-effective, and enterprise-ready alternative to Whisper, while aiming for comparable or higher accuracy.
A cloud platform that allows developers to easily run and fine-tune open-source machine learning models. They host several versions of Whisper, providing a simple API for developers to integrate the model into their applications.
A cloud infrastructure company that provides a serverless platform for running GPU-intensive code. They frequently feature Whisper in their documentation as a primary use case for deploying scalable, high-performance AI models.