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Discover essential design patterns and core components for building LLM applications with Vertex AI, from context window optimization to RAG pipelines and agent-based tools.
Dive into advanced RAG optimization techniques, exploring hybrid vector search and embedding strategies to enhance search quality and user experience in GenAI systems.
Discover how to enhance Gemini models' reliability through grounding techniques, connecting AI responses to real-world data using Vertex AI and Google Search integration for improved accuracy.
Master GitHub Copilot's AI-powered features for faster coding, from crafting effective prompts to generating tests, handling SQL, and automating various development tasks across multiple languages.
Explore building multimodal question-answering systems using Gemini's advanced capabilities for financial analysis, leveraging text, image, audio, and video inputs with Vertex API integration.
Discover how to build AI-based fraud detection systems and multilingual alert systems using KNIME's visual programming - no coding required. Implement RAG and GenAI solutions through simple node connections.
Master image classification model training using GPU and Vertex AI, focusing on state-of-the-art techniques and practical implementation with Google's advanced tools.
Dive into practical applications of Vertex AI, exploring real-world implementations and capabilities of Google's enterprise AI platform with insights from a Google expert.
Master AI agent development with hands-on guidance for building, connecting to real-time data sources, implementing RAG pipelines, and deploying custom assistants across multiple platforms.
Explore how Large Language Models can debug their own code and improve prompts through self-optimization techniques, focusing on rubber duck debugging and performance enhancement strategies.
Discover how to enhance LLM performance using Retrieval Augmented Generation (RAG) techniques, focusing on real-time data integration and reducing hallucinations through event-driven streaming approaches.
Gain insights into runtime security and Falco implementation for real-time threat detection across Kubernetes, containers, and cloud environments through hands-on practice and labs.
Discover how to implement vector search in Apache Cassandra for semantic data retrieval, enabling natural language queries and context-aware information extraction.
Discover how to build high-performing product recommendation systems using vector search, generative AI, and distributed databases for e-commerce applications.
Discover Google's latest Generative AI tools and APIs for developers, exploring how to harness LLMs for natural language processing and generation with unprecedented fluidity.
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