You Aren't Gonna Need It - 7 Sustainability Tips for Developers
Discover 7 key sustainability practices for developers to reduce environmental impact. Learn practical tips for eco-friendly coding, hardware longevity, cloud optimization, and responsible AI implementation.
A Fun and Absurd Introduction to Vector Databases
Explore vector databases for AI applications, natural language interfaces, and advanced search capabilities. Learn to translate data into vectors and master querying techniques.
Authorship and Generative AI for Technical Writing
Explore generative AI in technical writing, analyze audience, and practice prompt engineering with hands-on exercises in document editing and version control.
Probabilistic Circuits: Deep Probabilistic Models with Tractable Inference
Explore probabilistic circuits as deep models for efficient reasoning under uncertainty, examining their structural properties and connections to neuro-symbolic AI.
Is There a Place for Representation Learning in Generative AI?
Explore the intersection of Deep Learning, Representation Learning, and Generative AI, examining their relationships and potential synergies in advancing AI technology.
Weather Forecasting Using Deep Learning - A Paradigm Shift with MetNet-3
Explore neural network-based weather forecasting with MetNet-3, revolutionizing traditional methods for improved accuracy and reliability across various sectors.
Divide (or Convolve) and Conquer: Data Comparison with Wiener Filters
Explore Wiener filters for data comparison in machine learning, enhancing image reconstruction and translation robustness in various applications like compression and generative modeling.
Neuromancer: Differentiable Programming Library for Data-driven Modeling and Control
Explore NeuroMANCER, an open-source library for integrating machine learning with scientific computing, solving optimization problems, and creating differentiable models with physics-based constraints.
Towards Better Understanding of Contrastive Learning
Explore contrastive learning's foundations, dynamics, and applications in deep models. Gain insights into self-supervised learning, nonlinear analysis, and feature emergence through expert presentation.
Auto Arborist - Towards Mapping Urban Forests Across North America
Explore innovative techniques for mapping urban forests across North America using advanced data assimilation and machine learning methods.
Overview of Machine Learning Approaches at GSK.ai
Explore machine learning approaches at GSK.ai, focusing on innovative techniques and applications in pharmaceutical research and development.
Applications of Stanford DSPy for Self-Improving Language Model Pipelines
Explore Stanford DSPy's adaptive LM pipelines for complex tasks. Learn to create self-improving systems using text transformation graphs and parameterized modules, boosting performance with minimal code.
Accelerating the Operational Scale-up of GenAI - Industrializing Solutions for Business Outcomes
Discover strategies for industrializing GenAI operations, from provisioning to risk management, ensuring trusted solutions that deliver business outcomes on the Databricks platform.
Open Source AI and AI Regulation
Explore open source AI and regulatory frameworks with experts, gaining insights into the intersection of technology, ethics, and policy in artificial intelligence.
Bringing Light to Risks Lurking in the Black Boxes of AI Models
Explore hidden risks in AI models and learn strategies to illuminate potential dangers lurking within these complex systems.
Vertex AI Gemini: Model Selection and Prompt Design Principles and Strategies
Master Vertex AI Gemini model selection and prompt design. Learn to map capabilities to use cases, craft effective prompts, and implement robust engineering strategies.
Grounding for Gemini with Vertex AI Search and DIY RAG
Integrate Gemini, multimodal embeddings, and vector search to build a production-ready RAG system for enhanced generative AI grounding.
Building a Web Application with Gemini on Google Cloud - Hands-on Workshop
Build a Python Flask app on Google Cloud using Gemini Cloud Assist for AI-powered code generation, understanding, and deployment on Serverless.
Building Generative AI Agents with Vertex AI Agent Builder and Flutter
Supercharge generative AI development with Vertex AI and Flutter. Integrate pre-built components, accelerate prototyping, and deploy production-grade AI agents in your apps seamlessly.
Accelerate Building AI Applications with Cloud Run
Develop and deploy AI applications using Gemini API, Vertex AI, and Cloud Run. Learn auto-scaling, function calling, and video processing with Google's serverless platform.
Introduction to Duet AI in Google Cloud - Boosting Productivity and Expertise
Explore Duet AI's features for boosting cloud productivity, including code assistance, AI-backed operations, data exploration, and no-code app building.