1 min read
Microsoft Security Copilot: AI-Powered Threat Defense
Security Copilot addresses the security skills gap by augmenting analysts with AI-powered investigation and response capabilities.
Blog
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 50 of 92
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Dynamics 365 Copilot: AI for Business Applications
Dynamics 365 Copilot transforms business applications from data systems into intelligent assistants that augment human decision-making.
1 min read
Power Platform Copilot: Low-Code Meets AI
Power Platform Copilot makes citizen development more accessible than ever. Combined with proper governance, it enables rapid digital transformation.
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Microsoft 365 Copilot: AI for Every Knowledge Worker
Microsoft 365 Copilot will fundamentally change how knowledge workers interact with productivity tools. Organizations should start preparing now.
2 min read
Copilot CLI: AI in Your Terminal
Copilot for the CLI—part of the GitHub Copilot X announcement—brought the natural language to shell command pattern into the terminal, addressing the…
2 min read
Copilot for Docs: Chat With Your Documentation
Copilot for Docs is one of the most concrete RAG applications Microsoft shipped publicly in this period—a conversational interface over documentation that…
1 min read
Copilot for Pull Requests: AI-Enhanced Code Review
Commit messages: {chr(10).join(f'- {c}' for c in commits)} response = await self.client.chatcompletion( model="gpt-4", messages=[{"role": "user", "content"…
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Copilot Chat: Transforming Developer Productivity
{f'Stack trace: {stacktrace}' if stacktrace else ''} response = await self.client.chatcompletion( model="gpt-4", messages=[ {"role": "system", "content"…
1 min read
GitHub Copilot X: The Next Generation of AI-Powered Development
Commit messages: {commitsstr} {f'Related issues: {issuesstr}' if issuesstr else ''} response = await self.client.chatcompletion( model="gpt-4"…
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Copilot Everywhere: Microsoft's AI Strategy
Microsoft's strategy is clear: every product gets an AI assistant. These aren't separate products but integrated capabilities powered by Azure OpenAI.
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Integrating Azure Machine Learning with Azure OpenAI
The combination of Azure ML's operational capabilities with Azure OpenAI's language understanding creates powerful, production-ready AI systems.
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Model Deployment Patterns for Azure OpenAI
These deployment patterns enable safe, controlled rollouts of LLM application changes. Start with gateway and blue-green patterns, then add canary and A/B…
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Introduction to LLMOps: MLOps for Large Language Models
LLMOps brings discipline to LLM application development. Start with these foundations and iterate as your applications mature.
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Azure OpenAI Fine-Tuning: Preview and Patterns
Fine-tuning is powerful but requires careful data preparation and evaluation. Start with prompt engineering, use RAG when you need sources, and fine-tune…
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Map-Reduce Patterns for LLM Applications
Map-reduce transforms complex LLM tasks into manageable, parallelizable operations. Master these patterns for processing data at any scale.
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Recursive Summarization for Long Documents
Recursive summarization enables processing of documents of any length while maintaining quality through iterative refinement.
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Document Summarization Patterns with GPT-4
Effective summarization adapts to document type, size, and audience needs. These patterns provide a foundation for production-ready summarization systems.
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Context Window Management: 8K vs 32K Strategies
The 32K model costs 2x more per token. Use it strategically. Effective context management balances quality, cost, and capability. Master these patterns to…
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Token Optimization Strategies for GPT-4
Output tokens cost 2x input tokens. This changes optimization strategy. With systematic token optimization, you can reduce GPT-4 costs by 50-70% while…
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GPT-4 Limitations and Workarounds
GPT-4's training data ends in September 2021. It doesn't know about recent events, technologies, or updates.
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Building a GPT-4 Writing Assistant
GPT-4's writing capabilities go far beyond autocomplete. With proper prompting and structure, it becomes a powerful writing partner for technical content…
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GPT-4 for Data Analysis: Practical Applications
GPT-4 transforms data analysis from technical SQL writing to conversational exploration. The ability to interpret results and generate insights makes data…
1 min read
Building GPT-4 Powered Coding Assistants
Provide 3 possible completions. Return ONLY the code to insert, no explanation. Format as JSON: ["completion1", "completion2", "completion3"]"""
4 min read
GPT-4 is Here: What Changes for Enterprise AI
The revelation that landed with GPT-4's launch wasn't just the capability improvement—it was learning that Microsoft's new Bing Chat had been running on…