This repository contains a personal blog focused on technical topics, primarily related to Large Language Models (LLMs), embedding models, and Site Reliability Engineering (SRE). It serves as a knowledge-sharing platform for individuals interested in AI/ML advancements, distributed systems, and operational best practices.

How It Works

The repository functions as a static site generator, likely using a simple markdown-to-HTML conversion process. The content is organized chronologically by blog post date, covering a range of technical subjects from LLM fine-tuning and evaluation to Kubernetes implementations and distributed systems concepts.

Quick Start & Requirements

This repository is a collection of blog posts and does not have a direct execution or installation process. Accessing the content requires a web browser.

Highlighted Details

• Extensive coverage of LLM topics, including fine-tuning, evaluation, and RAG scenarios.
• Practical guides on embedding model selection and optimization for Chinese language tasks.
• Insights into SRE practices and distributed systems, referencing academic courses like MIT 6.824.
• Discussions on optimizing LLM inference performance and evaluating frameworks.

Maintenance & Community

The repository appears to be a personal project with no explicit mention of community engagement, active maintenance, or external contributions.

Licensing & Compatibility

The repository content is implicitly available for viewing. No specific license is mentioned, but the presence of "MIT 6.824" in a post title might suggest an interest in MIT-licensed materials. Commercial use or closed-source linking compatibility is not specified.

Limitations & Caveats

This is a personal blog, not a software project with executable code. The content is presented as-is, and there are no guarantees of ongoing updates or support. The primary focus is on sharing knowledge rather than providing a tool or framework.