Zhicheng's Blog
A Chronicles of a 👨💻Programmer (with 📊📈Analytical Mindset Who was Once a 🎨🖌️Designer): Learn to Debug Life
Welcome to my blog!
This blog chronicles my personal exploration into the worlds of coding (with LLMs ofc, what were you expecting?) and life itself.
Here, I share the things I encounter while learning to program.
Think of it as me trying to debug life while getting better at debugging code.
Fueled by my own insatiable curiosity (and AI's endless patience), bolstered by my humble attitude of learning (with millions of searches on Google),
I'm pretty confident this debugging process will be wrapped up by the end of this century.
👨💻 Building, learning, shipping: AperilexLabs
✉️: zcmmwang@gmail.com
🐦: X
🌟: GitHub
In this post, we will dive a bit into model evaluation. Building with Large Language Models (LLMs) presents two major challenges:
Today, I tackled both of these head-on by building a robust evaluation and cost-tracking framework. It’s an (again) interesting learning journey but important step for moving from a fun prototype to a reliable tool.
In the last post, I briefly outlined the project for an AI-powered tool to analyze SEC filings. In this blog, I’m diving deep into the architecture and core components that form the engine of this financial analyst.
We’ll dissect the journey of a single user request, from a ticker symbol entered into a form all the way to a rich, interactive dashboard filled with AI-generated insights.
It’s been a while, but I’m happy to be back to blogging (helped by my AI assistants) with a new project and a new series! This is a dual experiment:
I’ll be sharing the journey right here.
Before the project I had not much experience with financial documents especially company filings, only a basic understanding of their importance and relevance. After spending some time digging into them, I realized the challenge: You’re faced with mountains of dense, jargon-filled documents like 10-Ks and 10-Qs. Buried within these SEC filings is a goldmine of information about a company’s performance, strategy, and risks. But extracting and understanding it is a tedious, manual process and never even mention that not all SEC filings themselves are not standardized.
There are many websites have information about companies like Yahoo Finance, Google Finance, and others. But to build a platform with LLMs that can truly understand and analyze these documents, it’s essential to work directly with the raw data. This is where the SEC’s EDGAR database comes in, providing access to all public filings.
In this post, I will start creating resources in Azure using Pulumi. The full process is quite complex, so I will try to break it down into smaller parts and raise the key points here during my implementation.
In the last post, I discussed some points of setting up Azure for Inomad’s infrastructure. In this post, I will be creating a Pulumi project and discuss some interesting points about the initial setup and considerations.
This post is the beginning of the implementation phase for Inomad’s infrastructure on Azure. As the usual like other posts in Inomad series, I will just highlight the key points I’ve encountered instead of making the series an instruction of ‘How to’. This post will cover the initial steps and considerations for deploying Inomad’s infrastructure on Azure.
Auditing, monitoring, and logging are critical components in the realm of cloud computing, ensuring operational integrity, security, and compliance. In this post, I will discuss the importance of auditing, monitoring, and logging in the cloud, and give it a detailed overview and study of these technologies.
In this post, I will explore the concepts of security, compliance, and governance in modern cloud infrastructure and their importance in ensuring the confidentiality, integrity, and availability of data and services. Security, compliance, and governance are critical aspects of cloud infrastructure that help organizations protect their assets, comply with regulations, and maintain operational efficiency.
In this post, I will explore the role of messaging systems in modern cloud infrastructure and their importance in enabling communication between distributed components, services, and applications. Messaging systems play a crucial role in building scalable, reliable, and decoupled architectures that can handle complex workflows and interactions in cloud environments.
In this post, I will explore the role of development and deployment technologies in modern cloud infrastructure and their importance in building scalable, reliable, and efficient web applications and services. Development technologies encompass a wide range of tools, frameworks, and practices that enable developers to create, deploy, and maintain software solutions in the cloud.