
Explore latest AI advancements: Copilot+ PCs, Veo, Project Astra, Gemini 1.5 Flash, and more. Gain insights on LLM updates, open-source developments, and cutting-edge research in generative AI and machine learning.

Explore Gemini, Google's multimodal LLM, and learn to integrate it into applications using Java and LangChain4j. Discover techniques for data extraction, text classification, and knowledge extension with RAG.

Explore Gemini API's code execution capability using Python SDK for machine learning and data science applications.

Explore function calling with Gemini API's Python SDK to enhance language model interactions and streamline development workflows.

Develop a multimodal Q&A RAG tool using Gemini for unstructured data analysis, enhancing data science and machine learning capabilities.

Leverage Gemini's 2M context window and multimodal input to build a financial analysis Q&A system. Explore Vertex Gemini API, text-embeddings, and cross-modal reasoning capabilities.

Explore LangChain4j framework to build AI-powered Java apps. Learn to integrate LLMs, generate images, and create advanced RAG systems. Dive into Quarkus integration for efficient development and deployment.

Discover how to efficiently manage massive-scale data storage using Google Cloud's new Gemini interface, metadata insights, and BigQuery integration for enhanced security, compliance, and cost optimization.

Discover how Gemini Cloud Assist revolutionizes Google Cloud storage management through AI-powered insights, natural language queries, and automated metadata analysis for enhanced operational efficiency.

Discover customer-proven strategies for AI-powered innovation using public cloud, edge, and cross-cloud infrastructure. Learn how leaders achieve business outcomes faster in various industries.

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

Explore LangChain's integration with Vertex AI to connect LLMs to external data and APIs. Enhance natural language interactions, automate complex workflows, and create powerful chatbots using real-time data.

Boost productivity with Gemini in Cloud Console: Learn 3 advanced techniques for enterprise IT admins to streamline operations and enhance expertise.

Harness Flutter, Firebase, and Gemini to build dynamic apps. Learn Firestore, Storage, and AI coding with Gemini for intelligent application development.

Streamline cloud infrastructure management with Gemini's AI-powered assistance for compute, storage, and networking on Google Cloud.

Explore Google AI Studio and Gemini API using Python SDK. Access Gemini and Gemini Pro Vision programmatically for advanced AI applications.

Rapidly build 6 AI-powered chat applications using Cursor IDE, exploring various frameworks and integrating multiple language models for enhanced functionality.

Explore techniques for generating structured JSON outputs with Gemini API, including image-based JSON extraction and Pydantic class integration for enhanced data handling.

Explore AI agents' impact on LLM access, focusing on Google's Gemini models and their use of real-time information to reduce hallucinations in the LMSYS Chatbot Arena.

Explore AI advancements: OpenAI's rumored 'strawberry architecture', GPT-4 Omni model, SWE bench, and Google's Gemini Live. Analyze predictions, demos, and industry developments in this informative video.

Master Vertex AI Gemini model selection and prompt design. Learn to map capabilities to use cases, craft effective prompts, and implement robust engineering strategies.