RAG-based AI and LLMs are a natural fit.

The functionality of RAG-Based AI adds context and information to improve LLMs.

Join us for this immersive, hands-on session where you’ll delve into the world of local Large Language Models (LLMs) and discover how to harness their power for RAG (Retrieve, Augment, Generate) based AI applications. This interactive session is designed to equip you with the skills and knowledge to design, implement RAG-based AI systems using local LLMs, eliminating the need for cloud-based services and ensuring data privacy and security.

Developers will have the opportunity to follow the examples and code via Intel® Tiber™ AI Cloud.

Topics included in this workshop include:

Understand the fundamentals of local LLMs and RAG-based AI and gain hands-on experience with integrating local LLMs with RAG-based AI systems.
Deploy local LLMs, using popular frameworks and tools including Hugging Face Transformers and PyTorch. Maximize security on your own hardware, ensuring optimal data privacy.
Discover how to integrate local LLMs with RAG-based AI systems, retrieving relevant information, augmenting it with context, and producing text similar to human speech.
Explore real-world use cases and case studies of local LLM-powered, RAG-based AI applications

Hands-on demonstrations of coding techniques require an Intel Tiber AI Cloud account. If you don’t have one, get one here.

The workshop targets intermediate to advanced developers. The session will give developers practical knowledge of how to combine information and provide context with RAG-based AI to deepen the user experience.

Welcome back Not you?

First Name

Please enter a first name.

First name must be at least 2 characters long.

First name must be less than 250 characters long.

Please enter a first name.

Last Name

Please enter a last name.

Last name must be at least 2 characters long.

Last name must be less than 250 characters long.

Please enter a last name.

Business Email Address

Please enter an email address.

Please enter a valid email address.

Email Address must be less than 250 characters.

Country/Region

Please select a country/region.

Your registration cannot proceed. The materials on this site are subject to U.S. and other applicable export control laws and are not accessible from all locations.

Profession

Please select a profession.

Business Phone

Please enter a business phone.

Business phone must be at least 2 characters long.

Business phone must be less than 250 characters long.

Please enter a business phone.

Please enter a valid business phone.

Company

Please enter a company name.

Company name must be at least 2 characters long.

Company name must be less than 250 characters long.

Please enter a company name.

What type of developer are you?*

Please select a developer role.

Development Language (select all that apply)*

Please select a development language.

Which hardware and accelerator architectures are you developing for? (select all that apply)*

Please select at least one option.

Industry *

Please select an industry.

What operating systems do you develop for/on? (select all that apply)*

Please select at least one operating system.

Intel strives to provide you with a great, personalized experience, and your data helps us to accomplish this.

I consent to Intel collecting and using my personal information as described below.

Above consent required for submission.

I expressly consent to Intel transferring my Personal Data outside of China to Intel U.S. headquarters as described in the Intel Privacy Notice Supplement for Users in China.

Above consent required for submission.

Intel may contact you for marketing-related communications. You can opt out at any time.

By submitting this form, you are confirming you are age 18 years or older. Intel may contact you for marketing-related communications. You can opt out at any time. To learn more about Intel's practices, including how to manage your preferences and settings, visit Intel's Privacy Notice.

By submitting this form, you are confirming you are age 18 years or older. Intel will process your Personal Data for the purpose of this business request. To learn more about Intel's practices, including how to manage your preferences and settings, visit Intel's Privacy Notice.

Building Advanced RAG Applications with Intel® CPUs and GPUs

The functionality of RAG-Based AI adds context and information to improve LLMs.

Speakers

Praveen Kundurthy

Rakshith Krishnappa