Securing Generative AI - Back to the Future Edition
Explore a trust framework for generative AI, addressing concerns like data handling, PII leakage, and LLM manipulation through access control, authenticity, auditing, and data protection measures.
Differentiable Programming for End-to-end Optimization of Experiments - Lecture 5
Explore differentiable programming for optimizing experiments in high-energy physics. Learn advanced techniques to enhance data analysis and improve experimental design in particle physics research.
End-to-End AI App Development: Prompt Engineering to LLMOps
Comprehensive guide to Azure AI's features for streamlining AI app development, from prototyping to deployment. Learn to maximize LLM capabilities and harness Generative AI potential with Azure AI Studio.
Generative AI - Rise Above the Hype and Build Business Value
Expert panel discusses real-world applications and best practices for harnessing generative AI to drive innovation and transform organizations, focusing on practical use cases and strategies for rapid value realization.
Unlocking Generative AI in the Enterprise with NVIDIA on Azure
Discover how NVIDIA and Microsoft Azure collaborate to provide businesses with a comprehensive platform for building and deploying generative AI applications, accelerating the delivery of industrial-grade solutions.
Computer Vision and Language Models: Bridging the Modality Gap
Explore how large language models are transforming computer vision through projects like VisProg and VoxelGPT, with insights on challenges, prompt engineering, and future prospects.
Reimagining the Frontline with Next-Generation AI and Fast Deployment
Discover innovative AI solutions for frontline challenges, leveraging Microsoft Teams, Copilot, and Dynamics 365 to create an intelligent, intuitive workspace for essential workers at scale.
Adopting, Extending, and Building Your Own Copilots
Explore no-code, low-code, and high-code methods to maximize data using Microsoft Copilot stack. Learn to adopt, extend, and build custom copilots across various Microsoft platforms.
Inclusion and AI: Harnessing Inclusion for an Innovative Future
Explore the intersection of diversity, inclusion, and AI with Microsoft experts. Learn how to build inclusive AI systems that benefit all of society and create innovative, thriving teams.
Vector Search and State-of-the-Art Retrieval for Generative AI Apps
Explore vector search, hybrid search, and reranking models for improved knowledge retrieval in Generative AI apps. Includes live code demos and evaluation insights on retrieval quality.
AI and Kubernetes - A Winning Combination for Modern App Development
Explore how AI and Kubernetes intersect in modern app development, leveraging Azure's tools for seamless production deployment, AI-assisted scaling, and balancing innovation with security and cost.
What's New in Generative AI - Latest Innovations in Azure AI Services
Explore the latest innovations in Azure AI services, including OpenAI, Machine Learning, and AI Search. Discover advancements in AI Studio like Text-to-Speech avatars and GPT-4 Visual.
Build Your Own Copilot with Azure AI Studio
Explore Azure AI Studio to create enterprise chat and custom copilots. Learn to integrate real-time data, test LLMs, and deploy PoCs at scale for innovative generative AI applications.
Autogen and Local LLMs Create Realistic Stable Diffusion Model Autonomously
Explore AI-powered creation of realistic SDXL models using autonomous agents and local LLMs. Learn setup, implementation, and troubleshooting for cutting-edge AI image generation techniques.
Zephyr 7B Beta - Comparing a 7B LLM with 70B Models
Explore Zephyr 7B Beta's performance against larger models through paper review and hands-on Google Colab tutorial. Learn setup, prompting, and practical applications in math, coding, and data tasks.
LangChain Tutorial: Building an End-to-End LLM Project with Hugging Face Deployment - 1 Hour
Comprehensive tutorial on LangChain, covering basics to advanced concepts with hands-on examples. Includes deployment of a Q&A chatbot using Hugging Face Spaces.
ML On-Device: Building Efficient Models
Explore on-device machine learning for efficient, privacy-preserving models on mobile and edge devices. Learn about real-time AI applications, model optimization, and deployment strategies.
LLMs in the Enterprise - Promise and Practice
Explore the potential and real-world applications of Large Language Models in enterprise settings, examining their promises and practical implementations.
ChatGPT 3.5 Turbo Fine-Tuning Tutorial - Specific Tasks with Synthetic Data
Step-by-step guide to fine-tuning ChatGPT 3.5 Turbo for specific tasks using synthetic data, covering when and why to fine-tune, data creation, dataset cleaning, and model testing.
Beyond NTK- A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
Explore mean-field analysis of neural networks, examining polynomial width, samples, and time beyond Neural Tangent Kernel (NTK) theory for advanced optimization and algorithm design.
AI Mastery: Ultimate Crash Course in Prompt Engineering for Large Language Models
Master prompt engineering for AI models: craft effective prompts, explore techniques like n-shot and chain-of-thought, and learn practical tips to enhance communication with language models.