AI Image Generators:

1. Deep Dream Generator: Uses neural networks to generate images based on user input.
2. This Person Does Not Exist: Creates lifelike faces of non-existent people using GANs (Generative Adversarial Networks).
3. Artbreeder: Allows users to create and explore images by blending and modifying existing ones using GANs.
4. DALL-E by OpenAI: Generates images from textual descriptions using a GPT-based model.
5. DeepArt.io: Transforms your photos into artworks inspired by famous artists using neural style transfer.
6. RunwayML: A toolkit that allows artists and developers to use pre-trained models for various creative applications, including image generation.
7. GANPaint Studio: Lets users interactively modify and paint scenes using GANs.
8. NightCafe Studio: Offers AI-powered tools for creative image and video editing.

Other AI Platforms and Services:

1. OpenAI GPT-3: A powerful language model that can be used for natural language understanding and generation.
2. Google Cloud AI Platform: Offers a suite of machine learning services, including training and deployment.
3. Microsoft Azure AI: Provides a variety of AI services, including cognitive services, machine learning, and chatbot development.
4. IBM Watson: Offers a range of AI services, including natural language processing, image analysis, and decision-making.
5. Amazon SageMaker: Amazon Web Services (AWS) platform for building, training, and deploying machine learning models.
6. TensorFlow: An open-source machine learning library developed by Google for various ML applications.
7. PyTorch: An open-source deep learning framework widely used for research and development.
8. Clarifai: Specializes in visual recognition AI, offering solutions for image and video analysis.
9. Salesforce Einstein: Provides AI-driven insights and predictions for customer relationship management (CRM).
10. H2O.ai: Offers open-source software for data analysis and machine learning.
11. Algorithmia: A marketplace for algorithms, providing a platform for deploying and managing AI models.
12. Cognizant AI & Analytics: A suite of AI and analytics services for business applications.

Future of AI in Online Tools and Content Creation: The future of AI in online tools and content creation is likely to involve advancements in several areas:

1. Personalization: AI will play a crucial role in tailoring content to individual preferences, providing personalized user experiences.
2. Automation: Enhanced automation in content creation, including writing, design, and multimedia generation.
3. Interactivity: AI-driven tools will enable more interactive and engaging online experiences, fostering better user engagement.
4. Real-time Collaboration: AI tools will facilitate real-time collaboration, allowing multiple users to work on content simultaneously.
5. Improved Creativity: AI will continue to assist and augment human creativity, enabling the creation of more sophisticated and diverse content.
6. Content Moderation: AI algorithms will play a significant role in automating content moderation to ensure compliance with guidelines and regulations.
7. Enhanced Analytics: AI-powered analytics tools will provide deeper insights into user behavior, allowing for better-informed content strategies.
8. Natural Language Processing (NLP) Advancements: Improved NLP models will enable more natural and context-aware interactions in online content.
9. Cross-Platform Integration: AI will facilitate seamless integration across various platforms, ensuring consistent and coherent online experiences.
10. Ethical AI: There will likely be increased emphasis on developing AI tools with ethical considerations, addressing biases and ensuring responsible use.