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GPT-4 Enterprise Use Cases
GPT-4's cost (~$0.10 per analysis) is negligible compared to time savings. GPT-4 enables automation of knowledge work that was previously too complex for…
Blog
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 51 of 92
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GPT-4 on Azure OpenAI: What to Expect
Stay updated through Azure OpenAI documentation and Microsoft announcements.
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GPT-4 Multimodal: Understanding Vision Capabilities
GPT-4 Vision opens new categories of applications. Start planning your use cases now so you're ready when access becomes available.
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GPT-4 vs GPT-3.5: A Practical Comparison
After the first day of GPT-4 access, my comparison methodology was deliberately practical rather than benchmark-focused: I ran the same set of prompts—tasks…
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GPT-4 Is Here: Analyzing the Announcement
This isn't just incremental improvement - it's a capability threshold crossing. The AI capability curve just jumped. Time to adapt.
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Preparing for GPT-4: What We Know So Far
On March 13, 2023—the day before OpenAI announced GPT-4—the AI practitioner community was in an unusual state: highly confident that something significant…
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Enterprise Patterns for Azure OpenAI Applications
Deploy across regions for resilience: Configure Azure API Management for governance: Enterprise Azure OpenAI deployments need: 1. Multi region failover for…
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Streaming Responses with Azure OpenAI
Streaming transforms AI applications from feeling sluggish to feeling responsive. The implementation adds complexity, but the UX improvement is substantial.…
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Azure OpenAI Cost Optimization Strategies
One token is roughly 4 characters in English. A 1000-word document is about 1300 tokens. Start with these strategies and refine based on your usage…
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Vector Databases for AI Applications
Vectors (embeddings) represent meaning in high-dimensional space. Similar items have similar vectors.
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Intelligent Document Processing with Azure Form Recognizer
Azure Form Recognizer transforms manual document processing into automated workflows. The combination of pre-built and custom models handles most document…
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Running Azure Cognitive Services in Containers
Latency : Process locally instead of round trips to Azure Offline capability : Work without internet connectivity Data residency : Keep data on premises…
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Understanding ChatGPT Plugins Architecture
The plugin ecosystem is just beginning. Now is the time to experiment and understand the patterns.
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Responsible AI Practices with Azure OpenAI
Responsible AI isn't just about compliance - it's about building trust with users and ensuring AI benefits everyone. Azure OpenAI provides a foundation, but…
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LangChain with Azure OpenAI: Getting Started
Combined with Azure OpenAI's enterprise security and compliance, it's a powerful combination.
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Implementing RAG with Azure Cognitive Search
RAG is the bridge between general-purpose LLMs and your specific enterprise data. Get it right, and you unlock tremendous value.
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Prompt Engineering Fundamentals for Azure OpenAI
Provide specific line-by-line feedback.""", requiredvars=["databasetype", "query"] ) prompt = SQLREVIEWTEMPLATE.format( databasetype="Azure SQL Database"…
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Building Semantic Search with Azure OpenAI Embeddings
Embeddings are numerical representations of text that capture semantic meaning. Similar concepts have similar vectors. Azure OpenAI provides the…
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Bias Detection and Fairness Metrics for AI Systems
1. Measure multiple metrics : No single metric captures all fairness 2. Choose appropriate metrics : Based on your use case 3. Consider trade offs :…
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AI Ethics in Enterprise: Building Trustworthy AI Systems
1. Start early : Include ethics from project inception 2. Involve stakeholders : Get diverse perspectives 3. Document everything : Decisions, trade offs,…
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Azure Content Safety: Protecting AI Applications from Harmful Content
1. Set appropriate thresholds : Adjust based on your use case 2. Use blocklists : For domain specific terms 3. Check both input and output : For AI…
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Responsible AI Tools and Practices for Azure Applications
1. Start with fairness : Measure before deploying 2. Document everything : Model cards are essential 3. Monitor continuously : Fairness can drift 4. Include…
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Azure Cognitive Services Updates: What's New in Early 2023
GPT 4 integration in Azure OpenAI More neural voice options Enhanced document understanding Improved multi modal capabilities What's New in Azure AI Azure…
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Document Layout Analysis and Table Extraction with Azure AI
1. Use layout for structure : When you need document organization 2. Handle multi page tables : Merge tables split across pages 3. Validate table structure…