GPT-3: OpenAI's powerful language model capable of generating human-like text across various applications, from writing to customer service.
TensorFlow: A popular open-source library for machine learning that provides flexible tools and resources for building and deploying AI models.
IBM Watson: A comprehensive AI platform offering services like natural language processing, image recognition, and chatbot development.
Azure Cognitive Services: Microsoft's suite of AI tools, including speech recognition, sentiment analysis, and computer vision capabilities.
Google Cloud AI: Google's collection of AI services, including machine learning, translation, and data analysis tools, all available on their cloud platform.
PyTorch: A deep learning framework widely used for research and development, known for its dynamic computational graph and ease of use.
Amazon Rekognition: Amazon's AI-powered image and video analysis service, enabling tasks like object recognition, facial analysis, and content moderation.
H2O.ai: A platform for creating and deploying machine learning models, offering automation and scalability for data-driven applications.
Caffe: A deep learning framework popular for its speed and efficiency, particularly suited for computer vision tasks and convolutional neural networks.