Building Advanced AI Applications and Agents in One Hour

This workshop combines the best of two engaging sessions, offering a comprehensive and hands-on experience in building advanced AI applications and AI agents. We will use the state-of-the-art Large Language Models (LLMs) and Vision Language Models(VLMs) to explain the process. Participants will explore practical techniques to leverage these powerful models for tasks such as Natural Language Understanding (NLU), Natural Language Processing (NLP), decision-making, text/image generation, and task automation. This workshop enables attendees to understand the essential topics, including open-source package requirements in Python, model selection, fine-tuning, and integrating external data sources. The session covers the design and implementation of AI agents by utilizing open-source models like Llama for tuning parameters and deploying real-world AI solutions. Emphasis will be placed on architecture design, training optimization, scalability, efficiency, and ethical considerations. The workshop will adapt its use case and model selection (e.g., language agent vs. vision agent) based on the audience's background to ensure relevance and effectiveness of the session. By the end of the session, participants will have the foundational knowledge and skills to effectively create and deploy full-stack AI applications and agents tailored to their fields of interest.

Speaker: Mehdi Bahrami, Fujitsu Research of America

Attend in person or online (See weblink)

Presentation starts at 7:15