PredictionGuard is an AI tool that helps developers integrate state-of-the-art prediction models easily into their applications. It uses an automatic model selection feature, which compares different models, to choose the best one for a specific problem. The tool supports several domains, including sentiment analysis, question answering, image captioning, and speech recognition, among others. After automatically selecting the best model, it provides immediate access via Python client and REST API, thus making integration flexible and easy. Developers do not need to worry about implementation details because its API is consistent, providing a reliable service. Moreover, PredictionGuard offers reliability and configurability by having access to hundreds of tested models. If a prediction fails, the PredictionGuard tool automatically switches to the next best model. The model selection process can also be customized to focus on providing the highest accuracy or the fastest inference time. PredictionGuard is designed to keep pace with the latest AI models through continuous evaluation of the latest models using the developer's specific examples, ensuring they don't have to worry about keeping up with current technology. Finally, PredictionGuard offers a waitlist with discounts to interested parties who wish to join the service.
F.A.Q (20)
The main purpose of PredictionGuard is to facilitate developers with the integration of advanced prediction models into their applications. It automatically selects the most suitable model for a specific problem. It offers the service of automatic model selection which compares different models and chooses the best one for developers' specific problems.
PredictionGuard offers features like automatic model selection, easy and flexible integration, reliability and configurability, and future proof AI endpoints. It also offers a waitlist with special discounts for those interested in joining the service.
PredictionGuard is designed for easy model integration, so even though some technical knowledge is useful, you don’t need to worry about implementation details. With its consistent API and Python client, developers can focus on solving problems and delighting customers.
PredictionGuard uses an automatic model selection feature which compares different models. It then chooses the best one depending on the examples provided by developers. This selection process can be personalized to focus either on providing the highest accuracy or the fastest inference time.
PredictionGuard supports several domains like sentiment analysis, question answering, image captioning, and speech recognition among others.
Once the models have been automatically selected by PredictionGuard, they are instantly accessible via an accessible Python client and REST API.
Yes. Regardless of the underlying models used, PredictionGuard's API remains consistent.
If a prediction fails, PredictionGuard automatically switches to the next best model.
Yes. With PredictionGuard, you can customize the model selection process according to your needs by prioritizing either inference time or accuracy.
Yes. PredictionGuard is continuously updated with the latest AI models. It keeps pace with the state-of-the-art AI models through continuous evaluation of the latest models using the developer's specific examples.
PredictionGuard offers 'future proof' AI endpoints by continuously evaluating the latest models using your examples. It does the hard work of monitoring for better models and updating the underlying model for performance and reliability.
You can join the PredictionGuard waitlist by entering your email on their website. The benefits of joining the waitlist include receiving discounts when they launch.
Yes. Those who join the PredictionGuard waitlist are promised discounts when they launch.
Easy and Flexible Integration' means once a model has been automatically selected by PredictionGuard, it becomes immediately available via an accessible Python client and REST API. This ensures that developers can integrate the AI model into their applications with ease.
PredictionGuard ensures that they stay up-to-date with the latest AI models by continuously evaluating the latest models using the developer's specific examples.
PredictionGuard ensures reliability and configurability by having access to hundreds of models for a wide array of tasks. If a prediction fails, it can fallback to the next best model. Also, it allows customization of the model selection process based on inference time or accuracy.
Yes. You can configure the model selection process to prioritize either inference time or accuracy. This gives you flexibility to meet your specific needs.
PredictionGuard assists in applying AI solutions to businesses by making it easy to integrate advanced prediction models into your applications. It allows you to focus on how AI can solve your problems and delight your customers.
PredictionGuard has access to hundreds of models, both cutting-edge and battle-tested classics, including BERT, ResNet, Whisper, BLOOM, ViT, and others.
PredictionGuard promises no spam after you join the waitlist.