Prompt Engineering Programming Tutorials & Engineering Articles

Thomas Ptacek argues that every developer should build an LLM agent to truly understand the technology, demonstrating through progressive Python code examples that a functional agent with tool use ...

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

The article discusses NVIDIA's ITMonitron, a tool designed to enhance real-time IT incident detection by integrating various monitoring signals into actionable intelligence.

The article discusses how to build AI agents using Google Gemini models in conjunction with various open-source frameworks.

The article discusses FixrLeak, a generative AI-based framework developed by Uber to automate the detection and repair of resource leaks in Java applications.

This article provides a comprehensive guide on Vision Language Models (VLMs) and their evolution from single-image understanding to advanced video comprehension.

The article discusses the development of effective agents using large language models (LLMs), emphasizing the importance of simplicity and composability in their design.

The article introduces the Prompt Engineering Toolkit developed by Uber, which aims to streamline the process of creating and managing prompts for Large Language Models (LLMs).

The article introduces five new technical courses offered by NVIDIA aimed at enhancing skills in AI and data science.

The article discusses Uber's evolution in machine learning (ML) through its centralized platform, Michelangelo, highlighting its transition from predictive to generative AI.

The article reviews the most popular NVIDIA Technical Blog posts of 2023, highlighting advancements in generative AI, large language models (LLMs), high-performance computing (HPC), and robotics.

The article discusses various techniques for customizing Large Language Models (LLMs) to better fit enterprise needs, emphasizing the importance of tailoring language processing capabilities for sp...

The article discusses strategies for improving outputs from Large Language Models (LLMs) by focusing on prompt design and parameter tuning.

This article provides an introduction to Large Language Models (LLMs), focusing on prompt engineering and P-tuning techniques.

The article discusses LinkedIn's Responsible AI principles and their application in developing generative AI tools.

The article discusses the adaptation of p-tuning, a prompt learning method, to tackle non-English downstream tasks, particularly focusing on Swedish.