1 min read
The Future of Multimodal AI: What's Next After GPT-4 Vision
Each modality is handled separately, then combined. This works, but has latency and integration challenges.
GPT-4
36 articles
1 min read
Microsoft Build 2024 Preview: What to Expect for AI
Microsoft has been rapidly expanding Azure OpenAI capabilities. We can expect: New model deployments : Potentially GPT 4 improvements or new multimodal…
1 min read
Model Selection Strategies: Right-Sizing Your AI Workloads
While the AI community anticipates Claude 3's tiered model approach, it's worth examining how to right-size your AI workloads today. Understanding when to…
2 min read
Claude 2.1 vs GPT-4: A Technical Comparison While We Await Claude 3
With Claude 3 expected soon, now is a good time to compare the current state of play between Claude 2.1 and GPT-4. Let's dive into a technical comparison of…
2 min read
Anticipating Claude 3: What We Know So Far
Anthropic has been signaling that Claude 3 is on the horizon, and the AI community is buzzing with anticipation. Based on Anthropic's track record and hints…
1 min read
Claude vs GPT: Choosing the Right LLM for Your Application
Anthropic has hinted at Claude 3 coming soon, which promises even better performance across benchmarks. Meanwhile, OpenAI continues to iterate on GPT-4. The…
1 min read
Gemini vs GPT: Practical Comparison for Enterprise Applications
I spent time comparing Gemini and GPT in enterprise settings; below are the practical differences that should influence model choice.
1 min read
GPT-4 Turbo in Production: Lessons from Real-World Deployments
GPT 4 Turbo brings several improvements that matter for production: Feature GPT 4 GPT 4 Turbo Context Window 8K/32K 128K Input Cost $0.03/1K $0.01/1K Output…
1 min read
2023 AI Year in Review: The Year Everything Changed (Part 1)
2023 will be talked about for a long time in AI circles — the year foundation models moved from research labs into the backbone of enterprise software. From…
1 min read
Enhanced Function Calling in GPT-4 Turbo
Parallel function calling in GPT-4 Turbo is the DevDay improvement to function calling that changes what's architecturally practical with AI agents.…
2 min read
Seed Parameter: Achieving Reproducible LLM Outputs
The seed parameter introduced in GPT-4 Turbo at DevDay 2023 is a useful addition for testing and debugging, but it's important to understand what…
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…
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…
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
Maximizing GPT-4's Context Window: Patterns for Large Document Processing
Learn effective strategies for working within GPT-4's context window limits and processing large documents with Azure OpenAI Service.
1 min read
Azure OpenAI Function Calling Patterns: Building Intelligent Agents
Function calling patterns enable sophisticated AI agents. Tomorrow, I will cover building AI agents in more depth.
1 min read
Mastering Function Calling in Azure OpenAI: A Deep Dive
Function calling transforms GPT models into powerful agents that can interact with the real world. Tomorrow, I will cover Azure AI Studio in more detail.
1 min read
Azure OpenAI Updates at Build 2023: What Developers Need to Know
Azure OpenAI is becoming the enterprise-grade platform for building generative AI applications. Tomorrow, I will cover building plugins for ChatGPT.
1 min read
Bing Chat: GPT-4 Powered Search
Bing Chat represents the future of search: not just finding links, but synthesizing answers from the web with AI understanding.
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"…
1 min read
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.
1 min read
Recursive Summarization for Long Documents
Recursive summarization enables processing of documents of any length while maintaining quality through iterative refinement.
1 min read
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.
1 min read
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…
1 min read
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…
1 min read
GPT-4 Limitations and Workarounds
GPT-4's training data ends in September 2021. It doesn't know about recent events, technologies, or updates.
1 min read
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…
1 min read
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…
1 min read
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…
1 min read
GPT-4 on Azure OpenAI: What to Expect
Stay updated through Azure OpenAI documentation and Microsoft announcements.
1 min read
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.
4 min read
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…
2 min read
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.
2 min read
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…