
Explore open-source tools for generative AI development: Podman AI Lab for building and serving LLM apps, InstructLab for local model fine-tuning, and OpenShift AI for operationalizing AI on clusters.

Discover InstructLab: an open-source project simplifying LLM tuning for developers. Learn how to refine foundation models efficiently using collaborative knowledge curation and instruction training.

Leverage large language models and real-time data to build intelligent applications with improved accuracy using Retrieval Augmented Generation. Explore AI-driven experiences and vector search capabilities.

Explore Retrieval Augmented Generation (RAG) with data streaming to enhance LLM outputs. Learn how Apache Kafka and Flink enable real-time, contextualized data for reliable GenAI applications.

Explore how AI-generated "synthetic memories" could preserve personal histories, reconnect families, and enhance cognitive abilities in the face of loss or illness.

Explore the rapid evolution of AI video generation, from early attempts to advanced models like Runway Gen 3 and HeliuAI. Discover key players, groundbreaking features, and future potentials in this dynamic field.

Explore comprehensive strategies for securing AI-powered applications throughout the software supply chain, from data ingestion to model deployment and output protection.

Secure and scale GenAI projects across the entire stack, from OS to MLOps platform. Learn key considerations, best practices, and opportunities for highly regulated industries.

Reduce annoying stripes in Flux.1-generated images with a simple method for both generating and upscaling in ComfyUI. Learn to improve image quality and eliminate distracting artifacts.

Explore the balance between large language models and generative AI with insights from Baroness Stowell, Chair of the House of Lords' Communications and Digital Select Committee.

Discover how to create interactive AI-driven customer experiences using Google Cloud's generative AI in Gen App Builder for natural, omnichannel virtual agents with human-like responses.

Explore how generative AI and semantic search revolutionize search engines, enabling deep understanding of user queries and AI-driven experiences. Learn about Enterprise Search tools for advanced question-answering capabilities.

Explore how AI is transforming software development, from intelligent coding tools to automated testing, and learn how to leverage AI to build better software faster and stay ahead in the field.

Learn to build deep learning image captioning models, exploring encoder-decoder architecture, training techniques, and evaluation methods for accurate visual descriptions.

Explore how AI is revolutionizing data analytics, with insights on leveraging LLMs and generative AI to build better software, improve code quality, and reduce costs.

Explore MLOps in the GenAI era, covering faster experimentation, evolving practices, and optimal LLM usage. Gain insights into data analytics and AI development trends.

Explore grounding LLMs using Vertex AI Embeddings API and Matching Engine. Learn key concepts for building reliable generative AI services in enterprise environments.

Explore data governance in the era of GenAI, covering key considerations for organizations using AI in data analytics ecosystems and future trends in the field.

Discover how Generative AI in Google Workspace can revolutionize your daily work, boosting creativity, communication, and productivity across various business scales.

Discover how generative AI enables ultra-personalized, dynamic shopping experiences across omni-channels, boosting business outcomes for retailers and CPG companies.

Explore Gemini on Vertex AI: Learn tools, techniques, and evaluation methods for building with foundation models in this introductory workshop.