#chatbot
The latest AI and developer news about #chatbot, with the original source and a short summary.
The latest AI and developer news about #chatbot, with the original source and a short summary.
Toss introduced the RAG-based chatbot Mr. Park and the automation tool Sillokbot to reduce developers' burden of searching for documentation and improve knowledge-sharing efficiency.
Inflection AI released a research report analyzing consumer AI usage and reasons for non-use in 2026.
The LangChain team released an open-source repository for generating corpus-based character chatbots.
Chat SDK's Teams adapter now supports reactions and per-user ephemeral messages.
It covers the architecture and technical considerations for integrating a natural voice interface into existing text-based chatbots.
Mistral AI has rebranded Le Chat as Vibe, an AI work assistant, introducing Work and Code modes.
Character.AI users are showing high dependence due to psychological bonds formed with AI.
Woowa Gongbang built an AWS Bedrock-based RAG chatbot to help users understand the vast context of its design system.
The UK Electoral Commission called for AI regulation after chatbots showed a 34% error rate on election information.
An analysis of 20 AI chatbots found that 17 sent third-party tracking code.
Ads hidden in chatbot responses turn out to be something users rarely notice.
Toss Place automated repetitive queries with the AI data bot 'PANDA.'
In a trial of 995 college students, conversational AI was most effective at reducing anxiety.
US political circles are unprepared for the electoral influence of LLMs like ChatGPT and Claude.
In an MIT study, the ChatGPT-using group showed lower brain activity and memory recall.
Open-sourced a web-search Research agent and a document chatbot Support agent.
Introducing PEACE, a local chat app that bypasses its way into implementing Claude-style thinking in small models.
This introduces the steps for building an AI chatbot capable of natural conversation by integrating Text-to-Speech technology.
This presents strategies for combining and optimizing NLP and TTS technologies to build conversational AI chatbots that feel natural to users.
Conversational AI agents use NLP, LLMs, and other technologies to communicate as naturally as humans and provide customized solutions.
AI characters are virtual entities powered by artificial intelligence technology, used in various forms such as chatbots, NPCs, and virtual assistants.
Chat SDK now supports an official adapter that reads and responds to Liveblocks Comments.
Despite AI's high performance, the cognitive load of chatbot interfaces is hindering work efficiency.
Chat SDK deploys agents across multiple chat platforms like Slack, Teams, and Discord from a single codebase.