Explores how AI and LLMs can enhance CI/CD pipelines by predicting test failures, generating tests, enabling intelligent rollbacks, and detecting anomalies.
How to use GitHub Copilot to interact with and query Azure documentation hosted in a public repository for up-to-date technical information.
A curated list of the best developer-focused sessions from Microsoft Ignite 2023, highlighting AI, Copilot, and cloud-native topics for ANZ attendees.
An analysis of Overture Maps Foundation's open geospatial datasets, their creation process, and a technical guide for working with the data using Python and DuckDB.
A beginner-friendly guide to using HuggingFace's Transformers and Diffusers libraries for practical AI applications, including image generation.
A technical guide on using AI models like ChatGPT and Claude2 in R to analyze and summarize large volumes of public comment text for policy research.
Explores the potential impact of AI and automation on jobs, economy, and society, discussing both optimistic and pessimistic future scenarios.
Weekly tech digest covering AI news (Claude 2.0, LongNet), a podcast with Marc Andreessen, and developer resources for Bing API and Power BI.
Explores using prompt-hoisting to improve GPT-based code generation, turning tests into prompts to reduce AI's indeterminacy and ensure code correctness.
A guide to refining AI-generated QR codes for better aesthetics and scannability, including a custom web tool for automation.
An AI-generated, alliterative rewrite of Genesis 1 where every word starts with the letter 'A', created using GPT-4.
A curated list of key Microsoft Build 2023 sessions for ANZ developers, focusing on AI, cloud development, .NET, and DevOps.
An analysis of ChatGPT's future, predicting challenges like company dilution, failed competition, and a potential acquisition.
Chris Lattner's new language Mojo aims to dethrone Python in AI/ML by combining Python's usability with C's performance.
A software engineer compares the hype around cryptocurrencies and LLMs, arguing that LLMs provide tangible value while crypto is plagued by scams.
Explores how AI, particularly GPT-based systems, might change software development by potentially shifting from traditional source code to prompting languages.
Explores a future AI-assisted computer interface model inspired by sci-fi, where AI highlights data anomalies for human specialist review.
A developer argues that AI will augment, not replace, front-end developers, addressing fears about the future of the profession.
A developer compares GPT-4 to GPT-3.5, sharing hands-on experiences with coding tasks and evaluating the AI's strengths and weaknesses.
An overview of prompt engineering techniques for large language models, including zero-shot and few-shot learning methods.
