1. Problems with Using LLMs Directly Unstable output One characteristic of generative AI is the diversity of its output. Ask an LLM the same question several times and you may get different answers. This uncertainty in output is a pleasant surprise for users in conversation and creative scenarios. But in

Two months ago, I gave a talk to a business team about chaos engineering in practice. This post mainly organizes the content of that talk. Click to view the presentation 1. The Origin of Chaos 1.1 The Birth of the Discipline of Chaos Before discussing chaos, let us first think about the relationship between chaos, chaos engineering, and our production services.

1. Subnet Management by kube-controller-manager kube-controller-manager has many controllers; the one related to Pod IP is NodeIpamController. The NodeIpamController mainly manages the podcidr of nodes: when a new node joins the cluster, it allocates a subnet to that node; when a node is deleted, it reclaims the subnet. The subnets

1. Keywords Machine Learning (ML) The technology of automatically acquiring knowledge from data. Neural Network (NN) A model that imitates the structure and learning mechanism of biological neural networks; one of the branches of machine learning. The structure of a neural network consists of an input layer, hidden layers, and an output layer.

1. LLMs and Langchain Many people may never get the chance to train, or even fine-tune, a large model, but using large models is the wave of the future. So how should we embrace this change? The answer is Langchain. A large model provides a broad, general-purpose foundation. So far