Embedding Models Embedding models map high-dimensional data into a lower-dimensional space, which makes the data easier to process and analyze. Text Models Here is a leaderboard, https://huggingface.co/spaces/mteb/leaderboard The leaderboard above gives each model’s score, parameter count, memory usage, vector dimension, maximum tokens, and other information. Below are some commonly used open-source models:

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