98 skills found · Page 1 of 4
emcie-co / ParlantThe conversational control layer for customer-facing AI agents - Parlant is a context-engineering framework optimized for controlling customer interactions.
Kedreamix / Linly TalkerDigital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction method. 🤝🤖 It integrates various technologies like Whisper, Linly, Microsoft Speech Services, and SadTalker talking head generation system. 🌟🔬
zai-org / RealVideoA real-time streaming conversational video system that transforms text interactions into continuous, high-fidelity video responses using autoregressive diffusion.
kaifcoder / Gemini Multipdf ChatGemini PDF Chatbot: A Streamlit-based application powered by the Gemini conversational AI model. Upload multiple PDF files, extract text, and engage in natural language conversations to receive detailed responses based on the document context. Enhance your interaction with PDF documents using this intuitive and intelligent chatbot.
nl4dv / Nl4dvA python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.
microsoft / MSMARCO Conversational SearchTruly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.
MaxiDonkey / DelphiDeepseekThe Deepseek API wrapper for Delphi leverages Deepseek’s advanced models to deliver powerful capabilities for seamless and dynamic conversational interactions, including a model optimized for reasoning, and now also supports running local models through an LM Studio server.
zjr2000 / Awesome Multimodal ChatbotAwesome Multimodal Assistant is a curated list of multimodal chatbots/conversational assistants that utilize various modes of interaction, such as text, speech, images, and videos, to provide a seamless and versatile user experience.
open-llm-initiative / Open Message FormatOMF is a compact, user-friendly specification that defines a lightweight API contract between client and server for building conversational agents, and defines a standard schema for the "messages" object, which contains user and assistant interactions.
batuhanerenler / JARVIS OpenAI Voice AssistantJarvis is a voice-enabled chatbot powered by OpenAI's GPT-3.5-turbo. It leverages state-of-the-art natural language processing to deliver intelligent and conversational interactions.
danieloquelis / Unity QuestConversationalAIUnity packages for real-time conversational AI with speech-to-speech capabilities. Integrates OpenAI and ElevenLabs APIs for natural voice interactions in Unity projects for Meta Quest headsets.
yubol-bobo / MT ConsistencyThis repo investigates LLMs' tendency to exhibit acquiescence bias in sequential QA interactions. Includes evaluation methods, datasets, benchmarks, and experiment code to assess and mitigate vulnerabilities in conversational consistency and robustness, offering a reproducible framework for future research.
Hazrat-Ali9 / Gemini ChatBot🍏 Gemini 🍎 ChatBot 🥭 is an 🍍 advanced 🍑 intelligent 🫒 conversational 🍅 agent 🥞 designed 🍘 to deliver 🦀 human 🏘 like 🏯 interactions 🏫 powered 🏩 by Large 🏦 Language 🏟 Models 🚂 Natural 🚞 Language 🚋 Processing 🚃 and 🚁 real ✈ time 🛫 contextual 🛸 reasoning ⛴ It provides 🚝 a seamless 🚒 and 🛼 responsive ⛱ chat 🎮 experience 🥎
aws-samples / Conversational AI Assistant Multi Route ChainThis GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 model. It features intelligent routing to relevant functions, database querying, semantic searches, Lambda function executions, and specialized interactions.
Yogapriya2512 / A Simple Chatbot A chatbot (also known as a talkbot, chatterbot, Bot, IM bot, interactive agent, or Artificial Conversational Entity)The classic historic early chatbots are ELIZA (1966) and PARRY (1972).More recent notable programs include A.L.I.C.E., Jabberwacky and D.U.D.E (Agence Nationale de la Recherche and CNRS 2006). While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. In 1984, a book called The Policeman's Beard is Half Constructed was published, allegedly written by the chatbot Racter (though the program as released would not have been capable of doing so). One pertinent field of AI research is natural language processing. Usually, weak AI fields employ specialized software or programming languages created specifically for the narrow function required. For example, A.L.I.C.E. uses a markup language called AIML, which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so called, Alicebots. Nevertheless, A.L.I.C.E. is still purely based on pattern matching techniques without any reasoning capabilities, the same technique ELIZA was using back in 1966. This is not strong AI, which would require sapience and logical reasoning abilities. Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval. Chatbot competitions focus on the Turing test or more specific goals. Two such annual contests are the Loebner Prize and The Chatterbox Challenge (offline since 2015, materials can still be found from web archives). According to Forrester (2015), AI will replace 16 percent of American jobs by the end of the decade.Chatbots have been used in applications such as customer service, sales and product education. However, a study conducted by Narrative Science in 2015 found that 80 percent of their respondents believe AI improves worker performance and creates jobs.[citation needed] is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods. Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, thereby passing the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database. The term "ChatterBot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.Today, most chatbots are either accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities. Background
dhrumilp12 / Mental Health CompanionThis app would provide mental health support through conversational AI, offering personalized advice, mood tracking, and mental health resources based on user input and interaction history.
laurindoisaac / VirtualAssistantHere is a unique technical description for the VirtualAssistant human-machine interactions through scalable, modern-design driven conversational intelligence engine
theaifutureguy / Vocal AgentA sophisticated real-time voice assistant that seamlessly integrates speech recognition, AI reasoning, and neural text-to-speech synthesis. It is designed for natural conversational interactions with advanced tool-calling capabilities.
ddemszky / Conversational UptakeCode and data for the paper "Measuring Conversational Uptake: A Case-Study on Student-Teacher Interactions"
blculyn / The Spoken L1 CorpusThe spoken L1 corpus represents present-day spoken Chinese (Putonghua) used in mainland China, which is designed as a comparable corpus to the spoken L2 corpus. It comprises L1-L1 conversational interactions between L1 speakers of Chinese and a native Chinese speaker in informal settings. This corpus contains 228,306 words of transcribed interaction gathered in 2018, featuring 22 L1 speakers of Chinese in 26 audio recordings.
