Рет қаралды 3,263
You might be thinking to consider getting your AI application to the next level and you want to run a business on top of it but you're not sure how to expose the model with your user?
Please watch this video. I give 4 reasons why Streamlit is not a good choice for your applications especially if you intend to inter act with large population of users.
Important things to consider:
- Custom Styling and simply enabled CSS
- Handling running sessions and multi threading capability (watch the video to learn more)
- Community Support for Developers
- Seamless integration with APIs and backend services
Watch my series on learning about Langchain Chain types:
• Learning Langchain Ser...
- API CHAIN | • API Chain | Chain Type...
- CONSTITUTIONAL CHAIN | • CONSTITUTIONAL CHAIN |...
- RAG CHAIN | • RETRIEVAL CHAIN - RAG ...
- CHECKER CHAIN | • LLM CHECKER CHAIN | Le...
- ROUTER CHAIN | • ROUTER CHAIN | Learnin...
- SEQUENTIAL CHAIN | • SEQUENTIAL CHAIN | Lea...
Watch my video on building ChatGPT with local LLMs using Streamlit:
• Easiest way to Build y...
Link to Fanilo's video on Streamlit's limitations:
• An Unfiltered Deep Div...
Follow us on:
KZfaq: / @fullstackai24
Twitter: / fullstackinfoai
LinkedIn: / fullstackaialta
Join Discord: / discord
#langchain #ai #llm #python #conversation #chain #chatgpt #chatbot #openai #education #coding #artificialintelligence #machinelearning #fullstack #backend #largelanguagemodels #nlp #naturallanguageprocessing #streamlit #production
------
Chapters:
0:00 What is Streamlit?
1:04 Modern Web Apps
1:48 Streamlit's limits for business facing apps
2:42 1- Customized CSS Styling
3:04 2- Handle Multiple Threading
4:52 3- Small Size Community
5:14 4- Lack of Seamless Integration with Backend
5:39 Conclusion