OpenAI API Programming Tutorials & Engineering Articles

While consumer AI offers powerful capabilities, workplace tools often suffer from disjointed data and limited context. Built with LangChain, the NVIDIA AI-Q…

The article discusses the integration of the Apigee Operator for Kubernetes with the GKE Inference Gateway to enhance API management for AI and Large Language Models (LLMs).

The article discusses best practices for securing Generative AI in organizations using Secure Access Service Edge (SASE) architecture.

The article discusses the integration of Stripe's Model Context Protocol (MCP) with Portia AI, focusing on creating a customer refund agent that emphasizes human control during money movement opera...

The article discusses the release of the NVIDIA Llama Nemotron Super 49B v1. 5, highlighting its advancements in accuracy, efficiency, and reasoning capabilities for AI agents.

The article discusses the advancements in multimodal retrieval-augmented generation (RAG) systems, particularly focusing on the Llama 3. 2 NeMo Retriever Multimodal Embedding model.

The article introduces Roast, a structured AI workflow orchestration framework developed by Shopify to enhance developer productivity by integrating AI agents with traditional coding practices.

This article serves as a comprehensive guide for benchmarking Large Language Models (LLMs) using NVIDIA's GenAI-Perf tool alongside NVIDIA NIM.

The article discusses the integration and deployment of Alibaba's Tongyi Qwen3 models into production applications using NVIDIA technologies.

The article discusses the benchmarking of agentic large language models (LLMs) and vision-language models (VLMs) using NVIDIA NIM and the BALROG benchmark suite.

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).

The article discusses the implementation of GraphRAG, a graph-powered retrieval-augmented generation technique that enhances the accuracy of large language models (LLMs) in answering domain-specifi...

The article discusses how xpander AI enhances NVIDIA NIM applications by providing agentic tools that facilitate real-time data fetching and interaction with external systems.

The article discusses the integration of NVIDIA L4 GPUs and NVIDIA NIM microservices with Google Cloud Run, enabling enterprises to deploy AI-enabled applications more efficiently.

NVIDIA has announced that members of the NVIDIA Developer Program can now access NVIDIA NIM microservices for free, allowing for the rapid deployment of AI model endpoints.

The article discusses Uber's GenAI Gateway, a unified platform designed to streamline the integration of Large Language Models (LLMs) across various teams within the company.

The article discusses the application of Generative AI, specifically the Agent Morpheus, for automating the analysis and remediation of Common Vulnerabilities and Exposures (CVEs) at an enterprise ...

This article details the process of building a chatbot named 'HackBot' that utilizes data from Hacker News and Stack Overflow, leveraging ClickHouse and LlamaIndex.

The article discusses the integration of Generative AI and large language models (LLMs) on NVIDIA RTX PCs, highlighting various developer tools and resources available for building both text-based ...

This article explores how to integrate ClickHouse with OpenAI models using User Defined Functions (UDFs) to enhance SQL workloads with AI capabilities.

This article discusses the integration of LangChainJS with Cloudflare Workers, highlighting how developers can build applications that leverage large language models (LLMs).

This article provides a comprehensive guide on deploying a minimal LangChain application to Fly. io using Flask.