Generative AI Programming Tutorials & Engineering Articles

How Airbnb teams build trustworthy Generative AI products by treating evaluation as a first-class engineering discipline; not an…

Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines…

As AI agents move from the digital world to the physical environment, they can readily use NVIDIA Jetson to accelerate real-world deployment with optimized…

The Google Tensor ML SDK is graduating to its Beta phase, allowing developers to build and deploy high-performance machine learning models directly onto the TPU of Google Pixel 10 devices. By integrating with LiteRT, Google's edge deployment framework, the SDK provides a unified workflow for developers to convert, compile, and run PyTorch or TFLite models with robust fallback options. Additionally, a new model garden offers over 100 classic and generative AI models, including Gemma 3, enabling low-latency, private features like speech recognition, computer vision, and text generation.

In today’s data-driven world, organizations increasingly rely on video to capture critical information, yet extracting meaningful, real-time insights from…

Generative AI’s explosive first chapter was defined by humans sending requests and models responding. The agentic chapter is different. Agents don’t follow a…

Today, game developers can begin integrating NVIDIA DLSS 4.5 with Dynamic Multi Frame Generation, Multi Frame Generation 6X, and the second-generation…

Creative and visualization teams today produce more assets, in more formats, with leaner teams. Generative AI can accelerate that work – compressing tasks that…

In March 2026, three LLM agents generated over 600,000 lines of code, ran 850 experiments, and helped secure a first-place finish in a Kaggle playground…

Industrial and medical systems are rapidly increasing the use of high-performance AI to improve worker productivity, human-machine interaction…

Google has officially launched LiteRT, the successor to TFLite, which offers significantly faster GPU and NPU acceleration alongside seamless support for PyTorch and JAX. The update also introduces lower-precision data type support for increased efficiency and a commitment to more frequent security and dependency updates across the TensorFlow ecosystem. This transition solidifies LiteRT as Google's primary high-performance framework for deploying GenAI and advanced on-device inference.

The article discusses how Painkiller RTX utilizes generative AI to enhance game assets by transforming legacy textures into high-quality Physically Based Rendering (PBR) materials.

Cloudflare's 24th quarterly DDoS threat report reveals that DDoS attacks surged 121% in 2025, totaling 47. 1 million attacks. The quarter was marked by a record-breaking 31.

This article provides a comprehensive tutorial on building an AI-powered catalog enrichment system that enhances e-commerce product listings using NVIDIA's advanced models.

The article discusses the optimization of semiconductor defect classification using generative AI and vision foundation models (VFMs).

The 2025 Cloudflare Radar Year in Review highlights significant trends in internet traffic, the rise of AI, post-quantum encryption, and the increase in DDoS attacks.

The article discusses how AI is facilitating the adoption of secure-by-default mobile frameworks at Meta, emphasizing the importance of security in mobile app development while maintaining develope...

The article introduces A2UI, an open-source project designed for agent-driven interfaces that allows agents to generate contextually relevant user interfaces.

The article discusses the importance of protecting sensitive data during processing in cloud environments, introducing Google Cloud's Confidential Space as a solution.

The article reflects on a decade of AI platform development at Pinterest, detailing the evolution from fragmented machine learning stacks to a unified AI platform that supports various models.

The article discusses Uber's approach to enhancing the safety of machine learning (ML) model deployments through a series of mechanisms integrated into their ML life cycle.

The article discusses the development of LinkedIn's Hiring Assistant, an AI-driven tool designed to enhance the recruiting process.

The article introduces Coral NPU, a full-stack, open-source platform designed to enhance Edge AI capabilities on low-power devices.

The article discusses the development of an AI-powered log analysis solution using NVIDIA's Generative AI reference workflows.

The article discusses the integration of computer vision pipelines with Generative AI and reasoning, highlighting the advancements in video analytics through NVIDIA's Blueprint for Video Search and...

The article discusses the concept of AI sovereignty, emphasizing the importance of choice for nations in controlling AI technologies and data.

The article discusses ReaSyn, a generative model developed by NVIDIA to predict molecular synthesis pathways, addressing the challenges of synthesizability in molecular design.

The article discusses the launch of Cloudflare Application Confidence Scorecards, a tool designed to help organizations evaluate the safety and trustworthiness of AI and SaaS applications.

The article discusses a new approach to bot management that leverages behavioral anomaly detection tailored for individual customers.

The article discusses the deployment of scalable AI inference using NVIDIA NIM Operator 3. 0. 0, highlighting its capabilities in managing AI inference pipelines across Kubernetes environments.

The article discusses the launch of the Google AI Edge Gallery app, which now includes audio capabilities and is available on Google Play.

AI Week 2025 focused on how to harness the power of AI while maintaining control and security.

The article discusses the evolving landscape of web crawling, particularly the impact of AI bots on referral traffic to content creators.

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

The article discusses Cloudflare's integration of its Cloud Access Security Broker (CASB) with generative AI tools like ChatGPT, Claude, and Gemini, enabling organizations to assess security postur...

This article discusses how to enhance retrieval-augmented generation (RAG) pipelines using the reasoning capabilities of NVIDIA Llama Nemotron models.

Google’s People of AI podcast returns for Season 5, focusing on the builders of AI, including developers and entrepreneurs shaping the future of technology.

PerfInsights is a performance optimization tool developed by Uber that leverages Generative AI to automatically detect performance antipatterns in Go services.

The article discusses Finch, Uber's conversational AI data agent designed to streamline financial data retrieval within the Slack environment.

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).

The Google I/O 2025 Developer keynote highlighted innovations across Google platforms, focusing on the integration of AI models from Google DeepMind.

The article discusses how Google AI is transforming game development through advanced models like Gemma 3 and Gemini 2. 5, enabling developers to create immersive, AI-driven gaming experiences.

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 evolution of cybersecurity operations through the implementation of agentic AI systems, which automate complex tasks and enhance the efficiency of security analysts.

The article discusses the development of an AI-powered tool for automatic citation validation using NVIDIA NIM, aimed at improving the accuracy of citations in academic and AI-generated content.

The article discusses the evaluation and enhancement of Retrieval-Augmented Generation (RAG) pipeline performance using synthetic data.