News from the AI & ML world
DeeperML
@www.microsoft.com
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Microsoft recently held its Build 2025 developer conference, showcasing a range of new AI-powered tools and providing a sneak peek into experimental projects. One of the overarching themes of the event was the company's heavy investment in Artificial Intelligence, with nearly every major announcement being related to Generative AI. Microsoft is also focused on AI agents designed to augment and amplify the capabilities of organizations. For instance, marketing agents could propose and execute digital marketing campaign plans, while engineering agents could autonomously create specifications for new features and begin testing them.
At Build, Microsoft highlighted its commitment to "dogfooding" its own AI dev tools. This involved using Copilot within its complex .NET codebase, allowing developers to witness firsthand the agent's stumbles and successes. While this approach might appear risky, it demonstrates Microsoft's commitment to transparency and continuous improvement, differentiating it from other AI development tool vendors. The goal of Microsoft is to solidify its position as the go-to platform for developers through GitHub and Azure, while simultaneously fostering an ecosystem where other startups can build upon this foundation.
One particularly intriguing experimental project unveiled at Build was Project Amelie. This AI agent is designed to build machine learning pipelines from a single prompt. Amelie ingests available data, trains models, and produces a deployable solution, essentially acting as a "mini data scientist in a box." In early testing, Microsoft claims Project Amelie has outperformed current benchmarks on MLE-Bench, a framework for evaluating machine learning agents. While Project Amelie is still in its early stages, it exemplifies Microsoft's vision for AI agents that can autonomously carry out complex AI-related tasks.
ImgSrc: www.microsoft.c
References :
At Build, Microsoft highlighted its commitment to "dogfooding" its own AI dev tools. This involved using Copilot within its complex .NET codebase, allowing developers to witness firsthand the agent's stumbles and successes. While this approach might appear risky, it demonstrates Microsoft's commitment to transparency and continuous improvement, differentiating it from other AI development tool vendors. The goal of Microsoft is to solidify its position as the go-to platform for developers through GitHub and Azure, while simultaneously fostering an ecosystem where other startups can build upon this foundation.
One particularly intriguing experimental project unveiled at Build was Project Amelie. This AI agent is designed to build machine learning pipelines from a single prompt. Amelie ingests available data, trains models, and produces a deployable solution, essentially acting as a "mini data scientist in a box." In early testing, Microsoft claims Project Amelie has outperformed current benchmarks on MLE-Bench, a framework for evaluating machine learning agents. While Project Amelie is still in its early stages, it exemplifies Microsoft's vision for AI agents that can autonomously carry out complex AI-related tasks.
ImgSrc: www.microsoft.c
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References :
- The Pragmatic Engineer: Microsoft is dogfooding AI dev tools’ future
- The Rundown AI: Microsoft's top 5 AI releases from Build 2025
- Ken Yeung: Microsoft Build featured a flurry of product announcements. But beyond the official launches, the company also offered a glimpse into its frontier projects—experimental inventions that may never be released to the public but serve to showcase the ideas Microsoft is exploring.
Classification:
- HashTags: #Microsoft #Copilot #Build2025
- Company: Microsoft
- Target: Developers
- Product: Microsoft AI Dev Tools
- Feature: Copilot
- Type: AI
- Severity: Informative