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Discover how GitHub integrates GenAI into Advanced Security features like code scanning, secret scanning, and supply chain security to enhance development workflows.
Discover how Snorkel AI leverages Azure's NVIDIA GPU infrastructure for scalable ML experiments, from small projects to large distributed jobs with reliable monitoring.
Master building high-speed LLM apps with Llama-3 at 1,000 tokens/second using SambaNova's AI platform, LangChain, and RAG for enterprise question-answering systems.
Explore GitHub Copilot's capabilities from code generation to bug fixes, unit testing, and AI-powered conversations in this hands-on workshop using GitHub Codespaces.
Master secure AI code execution integration using E2B's Code Interpreter SDK with Next.js, enabling LLMs to run code safely for data dashboards, generative UI, and coding agents.
Explore GPT-4, multi-modality, and Azure AI innovations with interactive demos showcasing sight-language integration, developer tools, and responsible AI practices for scalable applications.
Master building production-ready RAG copilots using Azure AI Studio and Prompt flow, from ideation through evaluation to deployment with LLM Ops best practices.
Discover how to build complex multi-agent copilot solutions using Azure AI Studio and Promptflow, moving beyond simple RAG to scalable AI systems with debugging tools and security measures.
Discover how Azure AI model catalog streamlines LLM deployment with enterprise security, featuring live demos of Mistral, Phi3 & Llama3 plus real-world innovation examples.
Discover how to rapidly prototype and deploy generative AI applications using Microsoft Azure AI templates and GitHub Codespaces for startups with limited resources.
Explore Khan Academy's transformation into an AI-first organization through Khanmigo development, covering strategic partnerships, cultural shifts, and real classroom impact.
Dive into LLM inference optimization covering GPU selection, KV Cache management, quantization, parallelism techniques, and cost-effective deployment strategies for production-grade systems.
Discover essential LLM safeguards covering security, privacy, compliance, and anti-hallucination techniques with data scientist Daniel Whitenack in this practical 34-minute talk.
Discover how to balance rapid AI experimentation with existing customer needs, avoiding the Innovator's Dilemma while building next-gen prototypes without risking your current user base.
Explore AI evaluation methods and their societal impact with industry leaders discussing innovative approaches, limitations of current systems, and practical steps for creating fairer AI.
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