Generative AI is revolutionizing the world. Proper data engineering and observability are critical for its success. Here's what it means for data engineering.
AI and ML have enabled advancements in self-driving cars, web searches, and speech recognition. If you're keen on exploring AI and ML for IoT devices, we can help.
New ChatGPT functions let ChatGPT use your local files, data, and services. I spent some time exploring those functions, and here are my observations, tips, and tricks.
Discover how machine learning, artificial intelligence, and deep learning techniques can enhance network security by detecting anomalies with precision.
In this article, we explore the issues surrounding bias in facial recognition systems and discuss potential approaches developers can adopt to mitigate this problem.
Can machines think? This article aims to delve into this question, examining the performance of ChatGPT against the rigorous standards set by the Turing Test.
AI and machine learning is changing the way we do healthcare research. Learn more about how AI is innovating drug discovery, genomics, and protein folding.
Discussing the use of AI in testing, the somewhat unfair manual QA vs. automation QA struggle, the risks faced by testers with new technologies developing exponentially, and more with Jason Arbon.
Any modern IDE includes Code Intentions that allow you to perform some predefined actions on your code based on a context or do some manipulation with the code.
Generative AI can become a developer's best friend for unit tests, but reinforcement learning tools can deliver immediate success – without reviewing the code.
In this article, I'll walk you through how to convert a regular RDBMS into a fully featured Vector database to store Embeddings for developing GenerativeAI applications.
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