I know you know what a chatbot is, but could you explain the difference between a chatbot, an AI assistant, an autonomous agent, a co-pilot, and an embedded AI? Once you read Christopher Robert's excellent (and pithy) visual guide to today's text based AI/Gen AI lanscape, the answer will be yes 🤠 https://lnkd.in/eqzvGUzU
Qendel AI
9mo
This is a great share, Isabelle Amazon-Brown. Quick Summary ↓↓↓ Chatbot ↳ chatbots are text interfaces that allow you to interact directly with an LLM. Example: ChatGPT AI Assistant ↳ chatbots that are focused on a particular subject or task. Example: ChatGPT Assistants Co-pilot ↳ AI assistants that are embedded within a single product, generally to help you use that product. Example: GitHub Co-pilot Agent ↳ AI systems that use LLMs in a multi-step, semi-autonomous way to achieve some objective. Example: Tavily AI 🚀Excellent work Christopher Robert 🚀
So GPTs would count as assistants? And a really fancy assistant or copilot could evolve into an agent?
Satyabrata Jena
8mo
Thanks for sharing
Agentic AI with data streaming and stream processing | NL-UI tools for technical, data, and business users
9moWe see LLM-Integrated Copilots as tools that will either be embedded within single products (by the makers of those products—E.g., Salesforce's Einstein Copilot) or increasingly built as customisable tools by enterprise teams to deploy across their chosen work tools—MS Office, Slack, Salesforce, or bespoke internal applications. Indeed, we are already working on such projects. This will economise complex knowledge work through Gen-AI by offering appropriate teams real-time access to all required data sources and the capability to receive dynamic, context-sensitive responses and outputs wherever they work (On both the business and engineering side). The build-and-customise approach also offers the flexibility to treat multi-model models as fully modular components, with the obvious advantage this brings in such a rapidly evolving environment. Awesome topic and graphic. 🙏