My recent three-week trip through Shenzhen, the Philippines, Taiwan, and Hong Kong, a mix of business and leisure, kept me from updating my blog and fully engaging with my more ambitious plans. While I had initially planned to keep my year's objectives private, a key action item for
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Link to the article: https://www.anthropic.com/research/building-effective-agents One Paragraph Summary Agents are systems where Large Language Models (LLMs) dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks. They can start with a command or interactive discussion, and then gain "ground
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Yuval Noah Harari's Nexus offers a compelling new lens for understanding human history and our current predicament: the analysis of information networks. Harari argues that understanding how information connects people and things, rather than focusing solely on technological advancements, is key. He emphasizes that information's power
As 2024 draws to a close, many companies are immersed in strategic planning for the coming year. I've recently participated in several such meetings and have found myself reflecting on the differences between corporate and individual planning. This reflection has led me to consider how we can apply
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When I decided to create a Slack bot to remind me of my due Anki flashcards, I didn’t find the concept intimidating. The steps—accessing Anki’s data, posting to Slack, and setting up a cron job—were all within my capability. However, I’m not a seasoned software
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AI tools have opened up a world of possibilities, enabling us to accomplish tasks more efficiently and creatively. Here are some of the exciting things I've tried recently with AI: 1. Create a Webpage with Just a Chatbox Using tools like Cursor, you can: * Build a webpage by
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Example Consider the following scenario: * The probability that a person has a disease is 0.01. * The probability that a person with the disease tests positive is 0.90. * The probability that a person without the disease tests positive is 0.10. Question: What is the probability that a person
This article presents my personal perspective on approaching data analysis. While there are many methodologies and best practices in the field, the following framework represents my thoughts on providing a structured approach to guide your analytical process. These views are based on my experience and should be taken as one
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In essence, "Low Training Error + Sufficient Data Relative to Model Complexity → Low Test Error". Supervised learning must work on the SAME distribution. Key Concepts * Training Error (\(\text{Train}_S(f)\)): The error of a model \(f\) evaluated on the training dataset \(S\). * Test Error (\(\text{Test}_D(f)
Linear Transformations and Matrices Linear Transformations A transformation \(T\) is linear if it satisfies the following two properties: 1. Additivity: For all vectors \(x, y\) in the domain of \(T\), we have \(T(x + y) = T(x) + T(y)\). 2. Homogeneity: For all vectors \(x\) in the domain of \(T\
![[Study Note] V and Q Function in RF](/content/images/size/w600/2024/10/Snipaste_2024-10-27_17-50-53.png)
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UC Berkeley's CS285 course: lecture 4. The goal of reinforcement learning is to find an optimal policy \(\pi^*\) that maximises the cumulative rewards over time. Define the trajectory \(\tau = (s_0,a_0,s_1,a_1,...) \), which is a sequence of states and actions. The probability under
Dear readers, It's been nearly a month since my last post, and I wanted to update you on my recent activities. While my day job has kept me quite busy, I've still managed to explore some fascinating topics in my spare time. I'm pleased