
Learn to build and orchestrate serverless generative AI applications using AWS services like Amazon Bedrock and Step Functions. Explore integration techniques, error handling, and human feedback loops in AI workflows.

Explore LLM vulnerabilities, attacks, and defenses. Learn about prompt injections, output handling, and jailbreaking. Discover secure practices for AI implementation and see real-world examples.

Explore LLM observability maturity in AWS, from foundational concepts to advanced AIOps, covering metrics, performance, security, and best practices for effective implementation.

Explore Kappa architecture, stream processing, and LLM integration for innovative application development. Learn to build scalable systems leveraging real-time data and AI capabilities.

Explore advanced AI systems using MoE, multimodality, and agent crowds. Learn techniques for building composite intelligent systems beyond single algorithms or models.

Discover best practices for prompt engineering, learn to chat confidently with LLMs, and explore AI solution examples in this introductory-level talk.

Explore strategies to compromise LLM detectors using synonym replacement and instructional prompts, revealing vulnerabilities in text detection systems and emphasizing the need for robust safeguards.

Explore creative ML evolution in arts, observing model biases and future impacts on creative fields and popular culture through an artist's reflective perspective.

Master prompt engineering techniques to enhance AI problem-solving. Learn 7 key tricks and explore practical applications using LangChain for building AI-powered solutions.

Aprende técnicas avanzadas de prompting con LLMs, ChatGPT y LangChain basadas en experiencias de proyectos reales para mejorar tus habilidades en IA.

Discover how to harness ChatGPT's power in 2024. Learn essential techniques, explore practical applications, and unlock AI's potential for your tasks.

Explore generative AI's potential to enhance products, accelerate workflows, and unlock creativity. Learn about technical challenges and solutions in building AI-powered products.

Explore AI prompt design for content creation, balancing user needs with UX principles. Learn effective strategies to enhance AI-generated content quality and relevance.

Explore strategies for testing generative AI solutions that produce natural language responses and human-like interactions.

Explore GenAI's impact on testing, from automated generation to intelligent defects. Learn key components, strategies, and real-world benefits for quality engineering.

Master the art of crafting effective prompts for AI language models. Learn key principles, ethical considerations, and practical techniques to optimize AI interactions and outputs.

Explore techniques for customizing foundation models with your data, improving performance across tasks while understanding limitations and future prospects.

Explore MLOps fundamentals, adaptations for generative AI, and Vertex AI capabilities to support new workflows in the era of foundation models.

Explore GitHub Copilot's key features to boost productivity. Learn prompt best practices, code completion, chat functionality, and quick actions for efficient coding assistance.

Explore RAG (Retrieval-Augmented Generation) to mitigate AI hallucinations. Learn key concepts, implementation details, and advanced techniques through multiple passes and quizzes.

Explore Spring AI's seamless integration of AI into enterprise Java applications. Learn key concepts, create effective prompts, and implement features like embeddings, RAG, and semantic search.