1 min read
JSON Mode: Reliable Structured Outputs from GPT-4
JSON mode in GPT-4 Turbo (gpt-4-1106-preview) is a simple addition that solves a real, persistent annoyance in LLM application development: the model…
Blog
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 41 of 92
3 min read
OpenAI DevDay 2023: Revolutionary Announcements for AI Developers
OpenAI DevDay happened on November 6, 2023 in San Francisco — the first developer conference from a company that, two years ago, didn't exist as a…
5 min read
LLM Application Testing: Strategies and Frameworks
Testing LLM applications is a problem that doesn't have a satisfying general-purpose solution yet, and that's worth acknowledging before diving into…
2 min read
Building RAG Applications with Azure Cognitive Search and OpenAI
RAG with Azure Cognitive Search and Azure OpenAI is the production architecture I recommend most often for enterprise knowledge retrieval — not because it's…
1 min read
Building Intelligent Document Processing with Azure AI Services
Intelligent document processing is where Azure AI Services earn their keep in enterprise settings — processing invoices, contracts, medical records, forms…
2 min read
Prompt Engineering Mastery: Advanced Techniques for GPT-4
GPT-4 has been available since March 2023 and the gap between practitioners who've put in real work with it and those still writing prompts by intuition is…
1 min read
Azure OpenAI Enterprise Patterns: Lessons from Production Deployments
After months of working with Azure OpenAI in enterprise environments, the patterns that separate solid deployments from problematic ones have become clear …
1 min read
Multi-Index RAG: Querying Across Multiple Knowledge Sources
Implementing multi-index RAG systems to query and combine information from multiple knowledge sources.
3 min read
Key Differences Between Azure Machine Learning and Azure Cognitive Services
Understanding the key differences between Azure Machine Learning and Azure Cognitive Services, and when to use each service.
1 min read
Recursive Retrieval for Complex RAG Queries
Implementing recursive retrieval strategies for handling complex, multi-step queries in RAG systems.
3 min read
Step-by-Step Guide for Implementing a Serverless AI Solution Using Azure Functions and Azure Cognitive Services
A comprehensive guide to building serverless AI solutions using Azure Functions and Azure Cognitive Services.
1 min read
Auto-Merge Retrieval for RAG Systems
Implementing auto-merge retrieval to automatically combine related chunks for comprehensive context.
1 min read
Sentence Window Retrieval for RAG Applications
Implementing sentence window retrieval to balance precision and context in RAG systems.
1 min read
Parent-Child Retrieval for RAG Systems
Implementing parent-child document retrieval to improve context and accuracy in RAG applications.
3 min read
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1 min read
Document Chunking Strategies for RAG Systems
Comprehensive guide to document chunking strategies for optimal retrieval in RAG applications.
1 min read
RAG Improvements: Advanced Retrieval Techniques
Advanced techniques for improving Retrieval-Augmented Generation systems for better accuracy and relevance.
1 min read
Hallucination Mitigation Strategies for LLM Applications
Comprehensive strategies for detecting and mitigating hallucinations in LLM-generated content.
1 min read
Groundedness Detection for LLM Responses
Techniques for detecting and measuring groundedness in LLM responses to ensure factual accuracy.
1 min read
PII Detection and Protection in AI Applications
Implementing comprehensive PII detection and protection strategies for AI applications.
1 min read
Harmful Content Detection in AI Applications
Techniques and systems for detecting harmful content in AI-generated and user-submitted text.
2 min read
Content Moderation Patterns for AI Applications
Design patterns and best practices for implementing content moderation in AI-powered applications.
1 min read
Azure AI Content Safety: Comprehensive Content Moderation
Implementing Azure AI Content Safety for robust content moderation in AI applications.
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Output Filtering for LLM Applications
Implementing robust output filtering to ensure LLM responses meet safety and quality standards.