Author: Fraser
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Open Source AI tools
Chip Huyen has conducted an analysis of the most popular open source AI software, revealing a stack consisting of four layers: infrastructure, model development, application development, and applications. The infrastructure layer includes tools for serving, compute management, vector search, and databases. The model development layer involves frameworks for modeling and training, inference optimization, dataset engineering,…
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Exploring the Art and Science of Prompt Engineering
Welcome to my website dedicated to Prompt Engineering! As a New Zealander with a passion for this field, I have created this platform to share my insights and experience in prompt engineering. This website will serve as a hub where I will document my findings and share my perspectives on the latest trends and innovations…
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Real-World Use Cases of Generative AI
Generative AI has a wide range of use cases across various aspects of our personal and professional lives. Analyzing thousands of comments on platforms like Reddit and Quora, the author’s team identified 100 distinct categories of how people are leveraging this technology. These categories can be grouped into six overarching themes that provide a comprehensive…
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Top 100 Generative AI Consumer APPs
An analysis by Andreesen Horowitz, a venture capital firm. Two new major categories emerged – music (e.g. Suno for generating original songs) and productivity tools (e.g. Liner, Eightify) that help improve interactions with software. Six of the seven productivity apps on the list either offer or operate entirely through a Google Chrome extension. This helps…