Explores key prompt engineering techniques like zero-shot, few-shot, and chain-of-thought to improve generative AI outputs.
Explores GPT-4o, OpenAI's new multimodal AI model that processes text, images, and audio, now available in preview on Azure AI.
Summary of Microsoft Build 2024 keynote on AI transformation, from information access to actionable expertise, featuring Microsoft Copilot.
A developer's experience using ChatGPT 4 as a tool for exploring and learning new technical concepts, from programming to machine learning.
Analyzes the claim that AI will replace human programmers in five years, examining current AI coding benchmarks and limitations.
A study guide for the Microsoft AI-900 Azure AI Fundamentals exam, covering AI workloads, machine learning, and generative AI.
An article explaining homomorphic encryption, a method for performing computations on encrypted data without decryption, with a practical example in R.
A robotics AI lead reflects on the field's future, discussing scaling robot autonomy with neural networks and parallels to large language models.
A curated list of February 2024 bookmarks on web development, CSS, sustainability, and AI criticism from various authors and sources.
Explores using multimodal vision AI models like LLaVA for advanced UI/UX test automation, moving beyond traditional methods.
Introducing CloudSecGPT, a specialized AI model trained on cloud security documentation to provide interactive insights and troubleshooting help.
An opinion piece arguing against using AI-generated images, highlighting ethical concerns and the negative impact on professional illustrators' livelihoods.
The author critiques the focus on speculative AI risks at global summits, arguing for addressing real issues like corporate power and algorithmic bias instead.
A technical guide on using Meta AI's Segment Anything model to perform object segmentation on satellite imagery from Maxar.
A developer shares insights from building an AI audit prototype, discussing the importance of defensibility and lessons from banking model audits.
Explores the potential and implications of using AI to automate mathematical theorem proving, framing it as a 'tame' problem solvable by machines.
A framework for developing a generative AI strategy, based on a talk exploring practical approaches for leaders and teams.
A personal blog post reflecting on books read, AI's impact, and developer experience, with a focus on technology and purpose.
Analyzes Geoffrey Hinton's technical argument comparing biological and digital intelligence, concluding digital AI will surpass human capabilities.
Explores using logic programming and Prolog for semi-supervised clustering, arguing it's more intuitive than traditional algorithms for rule-based problems.
