5 Key Takeaways from Microsoft Build 2024 You Can't Afford to Miss..

?? AI Breakthroughs

Microsoft Build 2024

1. Three New Phi-3 AI Models

Microsoft has announced new additions to the Phi-3 family of AI models at the Build 2024 conference. The highlights include:

• Introducing Phi-3-vision, a new multimodal model in the Phi-3 family.
• Phi-3-small and Phi-3-medium models are now available on Microsoft Azure.
• Phi-3 models optimize performance across various hardware platforms.

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2. Azure AI Studio

Microsoft has launched the Azure AI Studio, aimed at accelerating the development of generative AI applications. Key features include:

• Integrated tooling for seamless development.
• Azure-grade security and a catalog of over 1600 models.
• Support for deploying custom AI copilots with comprehensive monitoring and debugging tools.

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3. New Microsoft Copilot Features

The latest update to Microsoft Copilot introduces new features to enhance business productivity and creativity:

• Team Copilot evolves to improve productivity and collaboration.
• Agents allow customization of copilots in Copilot Studio to automate business processes.
• New Copilot extensions and connectors enable easy integration with business systems.

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4. Microsoft Copilot Studio Got New Agent Capabilities

At the Build 2024 conference, Microsoft unveiled the Copilot Studio, which features:

• Tools for creating custom AI copilots.
• Capabilities for handling complex, long-running tasks across various industries.
• Advanced analytics and enterprise data connectivity enhancements.

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5. GitHub Copilot Extensions

GitHub has introduced Copilot Extensions, available in limited beta from May 21, 2024:

• Partnerships with Microsoft Azure, Docker, and MongoDB to enhance developer workflows.
• Seamless integration in IDEs like VS Code and GitHub.com.

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6. Real-Time Intelligence with Microsoft Fabric Now

Microsoft has launched Real-Time Intelligence in Microsoft Fabric, offering:

• Combination of Synapse Analytics, Data Activator, and new AI features in preview.
• Capabilities for real-time event insight, analysis, and action across industries.

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Adobe Launches Firefly-Powered Generative Remove in Lightroom for Enhanced AI Photo Editing

Adobe has unveiled the Generative Remove feature in Lightroom, powered by AI:

• Effortless removal of unwanted objects across all devices.
• New Lens Blur feature and mobile UI enhancements for faster, easier editing.

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NVIDIA Reports Staggering 262% Annual Revenue Growth, Announces 10-for-1 Stock Split

NVIDIA has reported impressive financial results:

• First quarter revenue of $26.0 billion, an 18% quarterly and 262% annual increase.
• Data Center revenue hit a record $22.6 billion, up 427% from the previous year.
• Announcement of a 10-for-1 stock split effective June 7, 2024, and a 150% dividend raise.

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?? AI Ethics:

Council Approves Pioneering AI Act Establishing First Global Standards

The Council has approved the first global AI regulations, focusing on:

• A risk-based legislative approach to AI development.
• Ensuring safe AI development, respecting EU citizens' rights, and stimulating investment.
• Prohibitions on high-risk and unacceptable AI practices with stringent enforcement mechanisms.

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Global AI Firms Commit to Unified Safety Standards at AI Seoul Summit

AI tech firms globally have committed to unified safety standards:

• New 'Frontier AI Safety Commitments' signed by firms from North America, Asia, Europe, and the Middle East.
• Focus on governance and public transparency.
• Agreements include halting AI development if risks are unmitigable.

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??AI Academia:

Exploring AI Interpretability Through Claude 3 Sonnet Feature Extraction

Research on Claude 3 Sonnet's feature extraction has revealed:

• Scaling sparse autoencoders to decompose activations.
• Features include multilingual, multimodal, and general data representations.
• Identification of safety-relevant features such as bias and deception.

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Exploring the Enhanced Capabilities of the Phi-3-Mini Language Models

The new Phi-3-mini language model includes:

• A transformer decoder with a 4K default context, expandable to 128K.
• Utilization of the tiktoken tokenizer, excelling in multilingual scenarios, and optimizing KV cache savings.
• Native operation on iPhone 14, achieving over 12 tokens per second with a 4-bit quantized model.

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