Author: Fraser
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Gorilla LLM
Gorilla LLM is an open-source project that connects LLMs to APIs, accurately returning API calls for a specific task provided by the user in natural language. It has been developed by researchers from UC Berkeley and Microsoft Research. Its primary objective is to improve the ability of LLMs to effectively utilise tools through API calls,…
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Mustafa Suleyman | The Coming Wave of Artificial Intelligence
The Jordan Harbinger Show with Microsoft AI CEO and Inflection co-founder, Mustafa Suleyman, discussing the current state and future of AI. Suleyman, co-author of The Coming Wave: Technology, Power, and the 21st Century’s Greatest Dilemma, provides insights into how AI learns and predicts, its potential impact on various industries, and the ethical considerations of allowing…
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Many-shot jailbreaking
Many-shot jailbreaking is a new technique that can cause large language models to override their safety constraints and provide harmful responses. It does this by including a very long sequence of faux dialogues in the prompt where an AI assistant answers dangerous requests. After enough of these examples, the model becomes more likely to also…
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Superhuman’s AI-Powered Email
Superhuman has used OpenAI’s API to build a suite of email products aimed at reducing the time users spend on their inboxes. It includes features such as: The products have helped customers process their inboxes twice as fast as before, while also doubling the speed at which they can write emails. There AI strategy has…
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Chatbot Leaderboard
LMSYS Chatbot Arena is an open platform that allows anyone to evaluate and compare the performance of different large language models (LLMs) through interactive conversations. The evaluations are crowdsourced, meaning they are conducted by a community of users who engage with the LLMs and provide feedback on their responses. This approach enables a collaborative and…
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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…