talk-data.com

Important: Register on the event website to receive the join link (register on meetup will NOT)

Description: Join us for an exclusive series of webinars and workshops designed to enhance your AI skills and accelerate productivity, with focus on AI coding, DeepSeek, Hugging Face, GraphRAG, Intel OPEA, etc.. Whether you're building local LLMs, optimizing AI workflows, or deploying AI agents, these live sessions—led by industry experts—will provide invaluable insights and hands-on experience.

Session 1: Building Multimodal Systems on AI Going from voice to text to voice, this hands-on workshop uses PyTorch to build GPU acceleration into multimodal AI PC applications. Participants learn how to implement and optimize audio-processing pipelines, combining speech recognition and speech synthesis into coherent applications. Transformer-based models will be explored, harnessing GPU acceleration and optimizing techniques on AI PCs. Real-world experience and skills will be gained at creating responsive applications processing and generating audio effectively.

Upcoming Sessions:

• Session 1 (May 29th): Building Multimodal Systems on AI
• Session 2 (June 4th): Generating Code with DeepSeek
• Session 3 (June 11th): Enabling High-Performance Execution of GNN
• Session 4 (June 12th): Deploying Agentic AI Applications with OPEA
• Session 5 (June 19th): Up and Running with AWS and OPEA GraphRAG
• Session 6 (June 26th): Building an LLM-Powered Chatbot with Streamlit and Hugging Face

More virtual sessions (join from anywhere):

• May 28th: NVIDIA FLARE Webinar 2: Federated Learning Applications for Healthcare and Finance
• May 29th: Agentic AI Learning Month by Intel (6 Sessions)
• June 6th: Google Build with AI Virtual Mixer

Important: Register on the event website to receive the join link (register on meetup will NOT)

Description: Join us for an exclusive series of webinars and workshops designed to enhance your AI skills and accelerate productivity, with focus on AI coding, DeepSeek, Hugging Face, GraphRAG, Intel OPEA, etc.. Whether you're building local LLMs, optimizing AI workflows, or deploying AI agents, these live sessions—led by industry experts—will provide invaluable insights and hands-on experience.

Session 1: Building Multimodal Systems on AI Going from voice to text to voice, this hands-on workshop uses PyTorch to build GPU acceleration into multimodal AI PC applications. Participants learn how to implement and optimize audio-processing pipelines, combining speech recognition and speech synthesis into coherent applications. Transformer-based models will be explored, harnessing GPU acceleration and optimizing techniques on AI PCs. Real-world experience and skills will be gained at creating responsive applications processing and generating audio effectively.

Upcoming Sessions:

• Session 1 (May 29th): Building Multimodal Systems on AI
• Session 2 (June 4th): Generating Code with DeepSeek
• Session 3 (June 11th): Enabling High-Performance Execution of GNN
• Session 4 (June 12th): Deploying Agentic AI Applications with OPEA
• Session 5 (June 19th): Up and Running with AWS and OPEA GraphRAG
• Session 6 (June 26th): Building an LLM-Powered Chatbot with Streamlit and Hugging Face

More virtual sessions (join from anywhere):

• May 28th: NVIDIA FLARE Webinar 2: Federated Learning Applications for Healthcare and Finance
• May 29th: Agentic AI Learning Month by Intel (6 Sessions)
• June 6th: Google Build with AI Virtual Mixer