Logo

dev-resources.site

for different kinds of informations.

Build an AI App in 5 Minutes without Coding

Published at
4/23/2023
Categories
ai
chatgpt
llmops
prompt
Author
funnybob
Categories
4 categories in total
ai
open
chatgpt
open
llmops
open
prompt
open
Author
8 person written this
funnybob
open
Build an AI App in 5 Minutes without Coding

In this era of widespread AI, the barrier to developing AI applications is getting lower. However, for most developers, the difficulty still exists in data processing, model development, training, and application deployment. LangGenius provides an "all-in-one" solution to easily build AI apps.I was able to define prompts through a GUI to get my target app, the whole process took no more than 5 minutes. I can also perform subsequent operation monitoring, application running data analysis. Next, I will walk you through how I built an AI app step-by-step.

First of all, you will need an OpenAI API key which you will have to apply for on OpenAI.

  • Register a free account on the LangGenius official website and log in.

  • After logging in, click "Create New Application" at the top of the page and select the chatbot template. LangGenius provides rich application templates for developers to create with one click.

Create New Application

  • After setting up your trigger words, uploading data, and selecting your application model, developers can chat directly with the chatbot on the page to experience the effect of the application. The debugging process is simple and intuitive.

debugging

  • If you want to adjust the application, developers can directly edit the data and retrain to quickly iterate the application.
  • After the application development is completed, click“Apply and publish” and publish it as an API or web application for wider use.

Apply and publish

  • After the completion of the application release, when your application enters the operation phase, you can observe the usage status and data performance of the application at any time. It provides data annotation and improvement capabilities, allowing you to continuously improve your AI performance.

Image description

The whole process was so easy, just like playing a game, without worrying about neural networks, training algorithms and other professional terms. LangGenius has "black-boxed" these complex machine learning processes through a simple and intuitive interface, allowing ordinary developers to get started easily and focus on developing interesting AI applications and services.

In summary, LangGenius allows developers with little AI expertise to easily build and deploy AI systems and applications. LangGenius will also launch dataset support for accessing your own data. The visual interface simplifies the development process and provides a variety of built-in tools to improve productivity. I hope this platform can help more developers unlock the power of AI and build more innovative applications.

**

Try it free

**

llmops Article's
30 articles in total
Favicon
A Beginners Guide to LLMOps
Favicon
LLMOps [Quick Guide]
Favicon
The power of MIPROv2 - using DSPy optimizers for your LLM-pipelines
Favicon
Unifying or Separating Endpoints in Generative AI Applications on AWS
Favicon
📚 Download My DevOps and LLMOps Books for Free!📚
Favicon
Deploying LLM Inference Endpoints & Optimizing Output with RAG
Favicon
End to End LLMOps Pipeline - Part 8 - AWS EKS
Favicon
🤖 End to end LLMOps Pipeline - Part 7- Validating Kubernetes Manifests with kube-score🤖
Favicon
📚 Announcing My New Book: Building an LLMOps Pipeline Using Hugging Face 📚
Favicon
End to end LLMOps Pipeline - Part 2 - FastAPI
Favicon
End to end LLMOps Pipeline - Part 1 - Hugging Face
Favicon
Bridging the Gap: Integrating Responsible AI Practices into Scalable LLMOps for Enterprise Excellence
Favicon
Building a Traceable RAG System with Qdrant and Langtrace: A Step-by-Step Guide
Favicon
FastAPI for Data Applications: Dockerizing and Scaling Your API on Kubernetes. Part II
Favicon
FastAPI for Data Applications: From Concept to Creation. Part I
Favicon
Evaluation of OpenAI Assistants
Favicon
Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain
Favicon
Finding the Perfect Model for Your Project on the Hugging Face Hub
Favicon
The Future of Natural Language APIs
Favicon
How do you know that an LLM-generated response is factually correct? 🤔
Favicon
The Era of LLM Infrastructure
Favicon
Launching LLM apps? Beware of prompt leaks
Favicon
Small Language Models are Going to Eat the World.
Favicon
No Code: Dify's Open Source App Building Revolution
Favicon
Pipeline Parallelism in PyTorch
Favicon
Orquesta raises €800,000 in pre-seed funding!
Favicon
Lifecycle of a Prompt: A Guide to Effective Prompts
Favicon
Integrate Orquesta with LangChain
Favicon
LLM Analytics 101 - How to Improve your LLM app
Favicon
Build an AI App in 5 Minutes without Coding

Featured ones: