LLM.swift is a simple library which lets you locally interact with LLMs
LLM.swift is an open source language modeling library written in the Swift programming language. It was created by EastRiverLee with the intention of providing an easy-to-use, full-featured language modeling library for natural language processing (NLP) tasks. The library provides users with an intuitive API to quickly and easily create language models that can be used for a variety of NLP tasks such as text classification, sentiment analysis, part-of-speech tagging, and dialogue generation.
The LLM.swift library contains a number of pre-trained language models from various sources, including Google’s BERT, OpenAI’s GPT-2, and Core ML’s XLNet. Users can also create their own custom language models from scratch using the library’s APIs. With the help of this library, users can quickly train and deploy powerful models for their NLP applications.
LLM.swift comes with several built-in features that make it easier to work with language models. It includes multiple optimization algorithms for training, support for distributed training on multiple devices, and support for loading and saving model checkpoints. Additionally, the library provides features for debugging and visualizing model performance.
Overall, LLM.swift is an open source language modeling library that provides users with a comprehensive and easy-to-use solution for natural language processing tasks. With its numerous pre-trained models and easy-to-use APIs, the library makes it easy for users to quickly create and deploy powerful models for their applications. Additionally, the library’s built-in features reduce both the time and complexity associated with training and deploying language models.
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