LongCite is an open-source model that trains large language models (LLMs) to produce accurate responses and precise sentence-level citations in long text question-answering scenarios. Its significance lies in enhancing the accuracy and credibility of question-answering systems, allowing users to verify the sources of the output information. LongCite supports context lengths of up to 128K and provides two models: LongCite-glm4-9b and LongCite-llama3.1-8b, trained respectively on GLM-4-9B and Meta-Llama-3.1-8B.

Fact Finder is an open-source intelligent question-answering system that utilizes language models and knowledge graphs to generate natural language answers and provide evidence. The system generates Cypher queries by invoking language models, queries the knowledge graph for answers, and uses another language model to produce the final natural language response. The main advantages of Fact Finder include the ability to provide transparency, allowing users to see both queries and evidence, as well as offering intuitive evidence through visual subgraphs.

Peach-9B-8k-Roleplay is a fine-tuned large language model specifically designed for role-playing dialogues. It is based on the 01-ai/Yi-1.5-9B model and trained on over 100K dialogues using data synthesis methods. Despite its smaller number of parameters, it may perform optimally among language models with parameters below 34B.

ChatQA is a series of conversational question answering (QA) models that can achieve GPT-4 level accuracy. We propose a two-stage instruction tuning method that can significantly improve the zero-shot conversational QA results of large language models (LLMs). To handle retrieval in dialogue-based QA, we fine-tuned dense retrievers on multi-turn QA datasets, which provides comparable results to using state-of-the-art query rewrite models while significantly reducing deployment costs. Notably, our ChatQA-70B outperforms GPT-4 (54.14 vs. 53.90) on the average score across 10 conversational QA datasets without relying on any synthetic data from the OpenAI GPT model.

ChatAnything aims to infuse LLM-based virtual characters with personality, appearance, and voice, enabling engaging online video chats. Users can simply provide a text description to create virtual characters with distinct looks, personalities, and ways of speaking. ChatAnything leverages the contextual learning capabilities of LLMs for personality generation, and introduces two innovative concepts: MoV (Voice Mixing) and MoD (Appearance Mixing) technologies for diverse voice and appearance generation. Its key features include virtual character portrait generation, personality generation, voice generation, and facial animation generation. Use cases include producing video chatbots and interactive virtual characters.

SillyTavern is an installable user interface for computers and Android phones that allows interaction with text-generation AI and chat/role-play with your or community-created characters. Based on a branch of TavernAI 1.2.8, it offers numerous features including support for multiple APIs, a customizable UI, automatic translation, and more.

LongCite is an open-source model that trains large language models (LLMs) to produce accurate responses and precise sentence-level citations in long text question-answering scenarios. Its significance lies in enhancing the accuracy and credibility of question-answering systems, allowing users to verify the sources of the output information. LongCite supports context lengths of up to 128K and provides two models: LongCite-glm4-9b and LongCite-llama3.1-8b, trained respectively on GLM-4-9B and Meta-Llama-3.1-8B.

Tolan: Alien Best Friend is an app designed for iPhone that allows users to interact and chat with a virtual alien friend named Tolan. Users can converse with Tolan about various subjects, such as hobbies, emotional issues, and life advice. Additionally, Tolan can assist users in creating and designing, such as designing sneakers, an ideal bedroom, or a dream car. The app offers a complete experience through a subscription model and includes a privacy policy and terms of service.

Fact Finder is an open-source intelligent question-answering system that utilizes language models and knowledge graphs to generate natural language answers and provide evidence. The system generates Cypher queries by invoking language models, queries the knowledge graph for answers, and uses another language model to produce the final natural language response. The main advantages of Fact Finder include the ability to provide transparency, allowing users to see both queries and evidence, as well as offering intuitive evidence through visual subgraphs.

Peach-9B-8k-Roleplay is a fine-tuned large language model specifically designed for role-playing dialogues. It is based on the 01-ai/Yi-1.5-9B model and trained on over 100K dialogues using data synthesis methods. Despite its smaller number of parameters, it may perform optimally among language models with parameters below 34B.

AI NightTalk is an innovative chat app that allows users to engage in fun conversations with diverse virtual companions. Users can select topics that align with their interests and delve into meaningful exchanges with each virtual companion, fostering lasting relationships. This AI-powered chat app provides users with the unique opportunity to choose from a range of personalities and traits to best meet their dating needs. Whether users seek casual entertainment or more serious connections, AI NightTalk caters to their desires. Download now and experience the ultimate conversational journey with a variety of virtual companions.

ChatQA is a series of conversational question answering (QA) models that can achieve GPT-4 level accuracy. We propose a two-stage instruction tuning method that can significantly improve the zero-shot conversational QA results of large language models (LLMs). To handle retrieval in dialogue-based QA, we fine-tuned dense retrievers on multi-turn QA datasets, which provides comparable results to using state-of-the-art query rewrite models while significantly reducing deployment costs. Notably, our ChatQA-70B outperforms GPT-4 (54.14 vs. 53.90) on the average score across 10 conversational QA datasets without relying on any synthetic data from the OpenAI GPT model.

MessengerX.io is a chat software platform that provides virtual AI character chat features. The software is powered by artificial intelligence technology, features a simple and innovative interactive interface design, a rich selection of virtual characters, and a comprehensive incentive mechanism, helping users engage in deep interactions with virtual characters.

Dolores is an intelligent entity capable of remembering your chat history and interacting with you through voice or text. Unlike any chatbot you've encountered before, Dolores can remember, reflect, and continuously evolve within your conversations.

Perplexity Copilot leverages powerful AI models like GPT-4 and Claude 2 to provide in-depth answers. It engages in conversations, asks questions, and listens attentively, constantly adjusting and refining search results to meet your specific needs, ultimately delivering answers that are tailored to your requirements.