Generative AI
Generative AI (GenAI) models create new content such as images, text, audio, or video based on their training data. Large general-purpose models require extensive resources to train from scratch, but you can customize these foundation models with less effort using fine-tuning or retrieval based on a private dataset.
Types of GenAI
Get started with different types of GenAI tutorials and examples.
Large Language Models (LLM)
With the ability to generate text, summarize and translate content, respond to questions, engage in conversations, and perform complex tasks such as solving math problems or reasoning, LLMs have the potential to benefit society at scale.
GenAI Essentials: LLM Inference
Llama* 2 Fine-Tuning with Low-Rank Adaptations (LoRA) on Intel® Gaudi®2 AI Accelerator
Image, Video, and Audio Generation
Image or video generation creates new content based on descriptive text or image input. Audio generation clones and creates voices, sounds, and music from text prompts or input audio. These techniques typically rely on diffusion or transformer models.
Text-to-Image Generation with Stable Diffusion* on Intel® Developer Cloud
Controllable Music Generation with MusicGen and OpenVINO™ Toolkit
Text-to-Video Generation with ZeroScope and OpenVINO Toolkit
Code Generation
GenAI can create or suggest new code snippets using natural language or text prompts. This technology can also translate code from one programming language to another and efficiently test and debug computer code.
Optimize Code Development with LLMs on the Intel Developer Cloud
Retrieval Augmented Generation (RAG)
RAG supplements pretrained models with up-to-date, proprietary, and confidential data from vector databases during inference. This simplifies customization and updating, and enables attribution of generated information to its source.
RAG Building Blocks with Intel
Use Cases
GenAI has the potential to revolutionize creative industries, enhance content generation processes, and drive innovation across industries and applications.
Creative Content Generation
Create new and compelling content such as images, videos, music, and text for entertainment, advertising, and design.
Data Augmentation
Generate synthetic data to augment training datasets for machine learning and deep learning models, or help improve model performance and generalization.
Simulation and Gaming
Construct virtual environments, characters, and scenarios that enhance realism and interactivity in simulation and gaming applications.
Healthcare and Medicine
Produce synthetic medical images or data that can be used to assist in medical research, diagnosis, and treatment planning.
Natural Language Processing (NLP)
Build natural language generation, dialogue systems, and text synthesis for chatbots, language translation, and content summarization applications.
Personalization and Recommendation Systems
Deliver personalized recommendations, advertisements, or product suggestions based on user preference and behavior.
Design Visualization
Render images of design ideas for a customer's home or office or of clothing options shown on a customer's avatar.
Materials Science and Drug Discovery
Identify compounds that solve multiple objectives with an understanding of their underlying complex physical and chemical relationships.
HoneyBee: A State-of-the-Art Language Model for Materials Science
AI Webinar Series
Join our new GenAI webinar series to learn about the latest trends and best practices in GenAI from industry leaders and practitioners.
Data
Data engineering at scale:
Vector embedding:
Vector databases:
Development
Pretrained models:
Distributed training and fine-tuning:
RAG and agents:
Optimize & Deploy
Model optimization:
Inference serving:
Monitoring:
Intel optimizes open source AI frameworks, software, and libraries used for GenAI development.
Recommended Resources
Intel® Tiber™ AI Cloud
Accelerate AI development using Intel-optimized software on the latest Intel® Xeon™ Scalable processors and GPU compute.
Unlock GenAI with Ubiquitous Hardware and Open Software
Get detailed information on the concept of an "AI brain" and how to maximize its potential.
A Use-Case-Specific Approach to GenAI
Learn how focusing on your use case can help ease getting started with GenAI.
What Is GenAI
Learn how GenAI works, its challenges and the future of GenAI.
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