This post summarizes reinforcement learning from classic tabular methods to ML-based approximations and recent LLM applications like RLHF.

In this blog, I will provide a complete walk through of another popular concept in data science interviews - hypothesis testing, from its general setup, key concepts related (test statistics, Type I error, etc.) to actual applications.

In this article, I will provide a complete walk through of a popular concept in data science interviews - the confidence interval, from its intuition, definition to actual computation.

SQL (Structured Query Language) is the backbone of relational databases. This guide breaks SQL into its five command types—DQL, DML, DDL, DCL, TCL.

In this article, I will give an overall introduction about recommenders, including how the recommendation problem arises, the abstract models and the key problems when building a new recommender.

In this post, I will briefly walk through some of the auxiliary functions provided in stable diffusion web ui for earlier idea testing and experience enhancement.

In this article, I will provide a walkthrough of common features on img2img tab.

In this post, I would discuss some of my thoughts on Multi-modality and future LLMs directions. Welcome to post your thoughts in the comments and discuss with me.

In this article, I will provide a walkthrough of common features on stable diffusion webui's txt2img tab and how to use them to produce better quality pictures as you wish.

In this article, I will present a step-to-step guide to help you set up stable-diffusion-webui uploaded by automatic1111.