#typescript #artificial_intelligence #chatbot #chatgpt #javascript #langchain #large_language_models #llamaindex #low_code #no_code #openai #rag #react #typescript #workflow_automation
Flowise is a tool that makes it easy to build applications using Large Language Models (LLMs) with a drag-and-drop interface. You can quickly start by installing NodeJS and then installing Flowise using simple commands. It also supports deployment through Docker and various cloud services like AWS, Azure, and more. The benefit to you is that you can create customized LLM flows without needing to write complex code, making it easier and faster to develop your applications. Additionally, Flowise offers extensive documentation and community support to help you along the way.
https://github.com/FlowiseAI/Flowise
Flowise is a tool that makes it easy to build applications using Large Language Models (LLMs) with a drag-and-drop interface. You can quickly start by installing NodeJS and then installing Flowise using simple commands. It also supports deployment through Docker and various cloud services like AWS, Azure, and more. The benefit to you is that you can create customized LLM flows without needing to write complex code, making it easier and faster to develop your applications. Additionally, Flowise offers extensive documentation and community support to help you along the way.
https://github.com/FlowiseAI/Flowise
GitHub
GitHub - FlowiseAI/Flowise: Build AI Agents, Visually
Build AI Agents, Visually. Contribute to FlowiseAI/Flowise development by creating an account on GitHub.
#jupyter_notebook #agentic_ai #agents #course #huggingface #langchain #llamaindex #smolagents
The Hugging Face Agents Course is a free, interactive course that teaches you how to build and deploy AI agents. It's divided into four units, starting with the basics of agents and ending with a final project where you create and test your own agent. You'll learn about frameworks like `smolagents`, `LangGraph`, and `LlamaIndex`, and how to use large language models (LLMs) in your agents. The course benefits you by providing hands-on experience and practical skills in AI agent development, helping you become proficient in creating and deploying AI agents.
https://github.com/huggingface/agents-course
The Hugging Face Agents Course is a free, interactive course that teaches you how to build and deploy AI agents. It's divided into four units, starting with the basics of agents and ending with a final project where you create and test your own agent. You'll learn about frameworks like `smolagents`, `LangGraph`, and `LlamaIndex`, and how to use large language models (LLMs) in your agents. The course benefits you by providing hands-on experience and practical skills in AI agent development, helping you become proficient in creating and deploying AI agents.
https://github.com/huggingface/agents-course
GitHub
GitHub - huggingface/agents-course: This repository contains the Hugging Face Agents Course.
This repository contains the Hugging Face Agents Course. - GitHub - huggingface/agents-course: This repository contains the Hugging Face Agents Course.
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