1 min read
GPT-4o Vision: Building Image Analysis Applications
GPT-4o vision provides remarkable understanding of images, but always validate outputs for critical applications. Combine with traditional computer vision…
GPT-4o
21 articles
1 min read
Building RAG Applications with Azure AI Search and GPT-4o
RAG works by first retrieving relevant documents from a search index, then passing those documents as context to an LLM for generation. This approach…
1 min read
Building Conversational AI with Azure Bot Service and GPT-4o
Leverage Teams-specific capabilities like adaptive cards, task modules, and message extensions to create rich interactive experiences.
1 min read
Fine-Tuning GPT-4o for Domain-Specific Tasks on Azure
After training completes, evaluate on a held-out test set before deploying. Monitor the fine-tuned model's performance against the base model to ensure…
1 min read
GPT-4o Vision for Document Intelligence: Building Smart OCR Pipelines
For multi-page documents, process pages in parallel and use a synthesis step to merge extracted data. GPT-4o handles cross-page references like "continued…
6 min read
Reading Charts and Dashboards with GPT-4o: What to Trust
Where GPT-4o vision helps data teams read charts and dashboard screenshots, what it gets wrong, what each image costs, and how to check its numbers in code.
7 min read
Multimodal RAG on Azure: Caption PDF Figures Before You Embed Them
Make diagrams and charts in PDFs retrievable with Document Intelligence 4.0 figure extraction, GPT-4o descriptions and Azure AI Search hybrid queries.
1 min read
GPT-4o Fine-Tuning for Enterprise: A Practical Guide
trainingjsonl = preparetrainingdata(trainingexamples) with open("trainingdata.jsonl", "w") as f: f.write(trainingjsonl)
1 min read
Azure OpenAI November 2024 Updates: What's New for Enterprise AI
Batch processing can reduce costs by up to 50% for workloads that don't need immediate responses.
1 min read
Advanced Coding Techniques with GPT-4o and Claude 3.5 Sonnet
Refactoring Goals: {goalstext} Think through the design before implementing. """ response = client.chat.completions.create( model="gpt-4o"…
1 min read
Choosing the Right Model: GPT-4o vs Claude 3.5 Sonnet for Different Tasks
Based on published benchmarks: Task GPT 4o Claude 3.5 Sonnet MMLU 88.7% 88.7% HumanEval 90.2% 92.0% MATH 76.6% 71.1% Graduate Reasoning 65% 59.4% The model…
1 min read
Chain-of-Thought Prompting: Improving AI Reasoning Today
OpenAI and other labs are likely working on models with built-in reasoning capabilities. When these arrive, they may reduce the need for explicit CoT prompting.
1 min read
Understanding Reasoning in AI: From Pattern Matching to Problem Solving
Traditional LLMs like GPT-4o are sophisticated pattern matchers. They predict the next token based on learned patterns from training data. While incredibly…
2 min read
Claude 3.5 Sonnet vs GPT-4o: A Technical Comparison
With Claude 3.5 Sonnet and GPT-4o both available, choosing the right model for your application requires understanding their differences. I've been testing…
3 min read
GPT-4o: Multimodal AI Gets Real-Time
Total latency: 2-5 seconds. GPT-4o processes audio natively - 232ms average response time. That's human conversational speed. The model understands tone…
2 min read
GPT-4o Released: OpenAI's Fastest and Most Capable Multimodal Model
Today OpenAI announced GPT-4o (the "o" stands for "omni") - their new flagship model that can reason across audio, vision, and text in real time. This is…
1 min read
GPT-4o Speed Improvements: Building Low-Latency Applications
GPT-4o is 2x faster than GPT-4 Turbo. Today I'm exploring how to leverage this speed for responsive applications.
1 min read
Cost Reduction Strategies with GPT-4o
GPT-4o is already 50% cheaper than GPT-4 Turbo, but there are more ways to optimize costs. Here are practical strategies I use in production.
1 min read
Deploying GPT-4o on Azure OpenAI Service
1. Navigate to your Azure OpenAI resource 2. Go to Model deployments Deploy model 3. Select from the model list 4. Configure deployment settings 5. Deploy…
1 min read
Multimodal Conversations with GPT-4o
A typical multimodal conversation might look like: \n{code snippet}\n For real time applications: Managing context across modalities: 1. Maintain coherent…
1 min read
GPT-4o Real-Time Vision: Processing Images at Scale
GPT-4o's vision capabilities are impressive, but what makes them practical for enterprise is the combination of quality, speed, and cost. Today I'm…