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Knowledge Hub

Generative AI (GenAI): Models, Assistants, Platforms & Datasets

Generative AI creates text, images, audio, video and code. This hub links to the directories on this site for models, assistants, platforms, data, retrieval and operations.

31 topics•5 categories•Updated October 2026

Models & Assistants

10 entries

The models and the products built on them.

01Large Language ModelsFrontier and open-weight language models. 02Language ModelsLanguage model types. 03Open-Source LLMsOpen-source large language models. 04Diffusion Language ModelsDiffusion-based language models. 05Generative Adversarial Networks (GANs)GAN papers, architectures such as StyleGAN, code and applications. 06Variational Autoencoders (VAEs)VAE theory, VQ-VAE, latent spaces, code and tutorials. 07Diffusion ModelsDDPM, Stable Diffusion, flow matching, image and video models, and libraries. 08Multimodal Language ModelsModels that combine text, images and audio. 09AI AssistantsChatbots, AI search, writing and coding assistants. 10LLM HubLLM hub.

Platforms, Tools & Companies

4 entries

Where generative AI is built and used.

11Generative AI Platforms and ToolsImage, video and audio generation tools, developer platforms and model hubs. 12Conversational AI for EmployeesInternal assistants for HR and IT helpdesks. 13OCR ModelsOCR and document AI. 14Hugging Face DiffusersLibrary for diffusion models for images, video and audio.

Data & Retrieval

4 entries

Training data and retrieval for grounded generation.

15Datasets for Generative AITraining and benchmark datasets for language and multimodal models. 16Vector DatabasesDatabases for embeddings and retrieval. 17RAG Architectures ElucidatedRetrieval-augmented generation architectures. 18Hallucination Mitigation MechanismsReducing hallucination in language models.

Agents, Operations & Integrity

5 entries

Putting generative AI into production responsibly.

19Agentic AIAgentic AI hub. 20LLMOpsOperating LLM applications. 21AI GatewaysGateways for LLM traffic. 22Guardrails for Agentic AISafety guardrails for agents. 23Plagiarism Checkers for AI ContentDetecting AI-generated text and checking originality.

Related Pages

8 entries

Neighbouring directories.

24Artificial IntelligenceAI hub. 25Machine LearningMachine learning hub. 26Deep LearningDeep learning hub. 27Computer VisionComputer vision hub. 28Natural Language ProcessingNLP hub. 29Microservices ArchitectureMicroservices architecture hub. 30IT OperationsIT operations hub. 31Digital InfrastructureDigital infrastructure components.

Frequently Asked Questions

What is generative AI?

Generative AI refers to models that create new content, such as text, images, audio, video and code, learned from large datasets; large language models and diffusion models are the main families.

How does retrieval-augmented generation help?

RAG fetches relevant documents from a store, often a vector database, and gives them to the model, which grounds answers in current, specific information and reduces hallucination.

What is the difference between generative and agentic AI?

Generative models produce content on request; agentic systems use such models to plan and take actions toward goals. See the Agentic AI hub.

How do I run generative AI in production?

Use LLMOps practices, gateways and guardrails; see the Agents, Operations and Integrity section.

How can AI-generated text be detected?

Detection tools estimate whether text was machine-written, but none are fully reliable; the plagiarism checkers page lists options.