# Context Awareness

CSM (Conversational Speech Model) is a 1B-parameter speech generation model developed by Sesame, capable of generating RVQ audio encoding from text and audio inputs.

CSM is a 1B-parameter speech generation model developed by Sesame, capable of generating RVQ audio codes from text and audio inputs, supporting context-aware speech generation.

HelpingAI3 is an advanced language model specializing in emotionally intelligent dialogue, significantly enhancing emotional understanding and contextual awareness.

Hugging Face Transformers is a library providing pre-trained deep learning models, supporting tasks in natural language processing, computer vision, and other domains.

mPLUG-Owl is a multimodal large language model based on the LLaMA-7B architecture, supporting image understanding and text generation tasks.

DialoGPT is a dialogue generation model based on the GPT architecture, specifically designed for generating natural and fluent conversational responses.

DialoGPT is a dialogue generation model based on the GPT architecture, developed by Microsoft, specifically designed to generate human-like conversational responses.

DialoGPT is a dialogue generation model based on the GPT architecture introduced by Microsoft, focusing on generating natural and fluent conversational responses.

A multi-functional model based on the T5 architecture, integrating question answering systems, text summarization, and sentiment detection, fine-tuned on multiple datasets.

DialoGPT is a dialogue generation model based on the GPT architecture, developed by Microsoft, specifically designed to generate natural and fluent conversational responses.

DialoGPT is a dialogue generation pre-trained model released by Microsoft, based on the GPT architecture and specifically designed for multi-turn dialogue tasks.

An English case-sensitive BERT model trained on conversational data from Twitter, Reddit, DailyDialogues, etc., suitable for natural language processing tasks in dialogue scenarios.