# language model

BrAIs is a platform that allows users to structure and manage interactions with language models. It aims to improve the language model experience for non-technical users, helping users save time and reduce friction.

DeepSeek-R1-Distill-Llama-8B is a high-performance language model developed by the DeepSeek team, based on the Llama architecture and optimized through reinforcement learning and distillation techniques. This model excels in reasoning, code generation, and multilingual tasks, and is the first model in the open-source community to enhance inference capabilities through pure reinforcement learning. It supports commercial use, allows modifications and derivative works, making it suitable for academic research and enterprise applications.

DCLM-Baseline-7B is a 700 million parameter language model developed by the DataComp for Language Models (DCLM) team, primarily in English. The model aims to improve the performance of language models by using systematic data organization technology. The model training uses PyTorch and the OpenLM framework, the optimizer is AdamW, the learning rate is 2e-3, the weight decay is 0.05, the batch size is 2048 sequences, the sequence length is 2048 tokens, and the total training tokens has reached 2.5 trillion. The training hardware uses the H100 GPU.

Enchanted is an open-source, Ollama-compatible macOS/iOS/visionOS app that allows users to converse with private self-hosted language models such as Llama 2, Mistral, and Vicuna. It essentially serves as an interface for connecting to a private model, akin to a ChatGPT application. Enchanted aims to provide a product that delivers an unfiltered, secure, private, and multi-modal experience across all devices in the iOS ecosystem (macOS, iOS, Watch, Vision Pro).

WikiChat ensures factual responses by utilizing Wikipedia and a 7-stage process. It mitigates false alerts from large language models by retrieving data from Wikipedia to correct incorrect replies from the language model. It offers both command-line interaction and a web interface.

Orca 2 is a research-oriented assistant that helps with reasoning and understanding tasks, such as data reasoning, reading comprehension, mathematical problem solving, and text summarization, through single-turn responses. The model is particularly adept at reasoning. We are open-sourcing Orca 2 to encourage further research in the development, evaluation, and alignment of smaller language models.

ChatGPT Online is an advanced language model powered by the ChatGPT API, capable of engaging in meaningful and dynamic conversations with users. It can understand and answer a wide range of topics and questions, making it a versatile and reliable conversational companion.