Language-models

Open Interpreter is an open-source project that allows language models to execute code locally. With Open Interpreter, you can interact with language models through a ChatGPT-like interface in your terminal, enabling you to perform various tasks using simple, human-like commands.

Learn about the StreamingLLM framework, a solution for deploying Large Language Models in streaming applications. By leveraging attention sinks and introducing a dedicated attention sink token, StreamingLLM enables LLMs to handle infinite-length inputs efficiently and effectively. Discover the benefits, use cases, and future directions of this framework.

DeepEval is a powerful Python library that simplifies the evaluation of language models (LLMs). With its intuitive API, support for custom metrics, and future roadmap, DeepEval is a valuable tool for machine learning engineers working with LLMs.

GPT4All is an ecosystem of open-source on-edge large language models that can be trained and deployed locally on consumer-grade CPUs. This article provides an overview of GPT4All, its features, and its potential use cases.

LangChain is a powerful library that enables developers to build applications using large language models (LLMs) through composability. This blog post introduces LangChain and highlights its key features and use cases.

LLaVA (Large Language and Vision Assistant) is a powerful language and vision model that combines the capabilities of GPT-4 with visual instruction tuning. This blog post provides an overview of LLaVA, its features, and how it can be used in various applications.