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ChatGPT Programming Tutorials & Engineering Articles
83 ChatGPT tutorials, guides, and engineering insights from NVIDIA, OpenAI, ClickHouse, and more
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ChatGPT Articles & Tutorials
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Deepanshu Mehndiratta, Alok Srivastava, Vibhor Dhingra, Ankit Srivastava
12 min read
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Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in…
Deepanshu Mehndiratta, Alok Srivastava, Shivam Jindal, Ankit Srivastava
13 min read
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Coding agents changed what it costs to build mobile apps twice. Here’s why Shopify is moving from React Native back to Swift and Kotlin.
How we adapted our application storage platform, Habitat, in Python to manage unprecedented growth.By Jon Lee, Chaomin Yu, and Ben Ries, Members of Technical Staff
OpenAI Team
10 min read
Includes Code
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THROUGHPUT-per-kW FRONTIERInferenceX · GPT‑OSS‑120B · nominal 8k/1k · STP · package TDP: Jalapeño 700 W; GB200 1,200 W
OpenAI Team
9 min read
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Nimish Sheth, Manas Kelshikar, Dhirendra Kumar Singh, Rajan Jana, Wasim Raza
8 min read
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One user turn can contain many model and tool iterations. Any cost inside the repeated region can be paid many times.
OpenAI Team
9 min read
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By Justin Uberti and Zahan Malkani, Members of Technical Staff
How to remain competitive in the AI era of software engineering
37 min read
Includes Code
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We've had decades to learn what it means to design software and hardware for humans. How do we build experiences where the primary user may now be an LLM?
Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes…
Tanya Lenz
14 min read
Includes Code
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Using population-level analysis to debug tricky crashes in our data infrastructure.
OpenAI Team
19 min read
Includes Code
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OpenAI Team
9 min read
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OpenAI Team
11 min read
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10 min read
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MRC’s support for multi-plane networks means we can connect over a hundred thousand GPUs with only two tiers of switches. This reduces the power required, the number of components that can fail, and the total cost of the network compared to conventional approaches.
OpenAI Team
13 min read
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14 min read
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By Yi Zhang and William McDonald, Members of Technical Staff
OpenAI Team
15 min read
Includes Code
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Marketing to agents is becoming as important as marketing to humans. We ran an experiment embedding tracked incentives on ramp.com pages addressed to AI agents. Here's what we learned.
OpenAI Team
14 min read
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ChatGPTCloudflare WorkersengineeringGitHub ActionsJavaScriptNext.jsNode.jsOpenAI APIPythonReactTypeScriptVite
OpenAI Team
20 min read
Includes Code
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The article introduces Markdown for Agents, a feature by Cloudflare that allows AI systems to request web content in Markdown format instead of HTML.
OpenAI Team
10 min read
Includes Code
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OpenAI Team
13 min read
Includes Code
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This article details the transformation of ClickHouse's internal data warehouse from a traditional BI-first approach to an AI-first model, significantly enhancing user accessibility to analytics.
Inside our new process architecture, which gives you a faster, smarter way to use the web.
OpenAI Team
8 min read
Includes Code
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This article discusses the process of scaling LangGraph agents in production, specifically focusing on the deployment of an AI-Q research agent.
Building agents that learn directly from humans performing real work, unlocking scalable automation from just a single recording.
8 min read
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The article discusses the importance of LLM observability using ClickStack, OpenTelemetry, and MCP, highlighting how to instrument LibreChat for enhanced insights into AI-driven applications.
The article discusses the integration of NVIDIA BlueField-3 Data Processing Units (DPUs) with F5 BIG-IP Next for Kubernetes to enhance the deployment of agentic AI applications in cloud environment...
Shai Tsur
6 min read
Has Summary
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The article explores the analysis of Wimbledon tennis data using ClickHouse, detailing the unique scoring system of tennis and how to implement a function to compute points needed to win a game.
The article discusses the integration of ClickHouse with the Model Context Protocol (MCP), highlighting its benefits for connecting third-party services to large language models (LLMs).
Al Brown & Mark Needham
8 min read
Includes Code
Has Summary
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The article discusses the NVIDIA AI Blueprint for an LLM router, which provides a cost-efficient framework for dynamically routing prompts to the most suitable large language models (LLMs).
Arun Raman
7 min read
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The article discusses the transformation of traditional data centers into AI factories, driven by the increasing computational demands of AI workflows.
Harry Petty
2 min read
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The article discusses how integrating large language models (LLMs) with knowledge graphs enhances the extraction of structured insights from unstructured data, addressing challenges faced by tradit...
The article discusses LinkedIn's commitment to connecting its members to economic opportunities through advanced AI technologies.
Mohak Shroff
7 min read
Has Summary
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The article discusses the transformation of telecom networks to effectively manage and optimize AI workloads, particularly in the context of 5G technology and the rise of large language models (LLM...
Elad Blatt
7 min read
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The article discusses the use of a generative AI-enabled OpenUSD pipeline to produce cinematic content at scale, specifically for commercials.
Jamie Allan
6 min read
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