Building Local & Hosted AI Applications with Langchain and Hugging Face Models: A StreamlitTutorial
Link to GitHub repository: https://github.com/mrspiggot/Lucidate...
Leveraging Hugging Face Models with Langchain
Accessing Hugging Face Models
In this video, we'll explore how to tap into Hugging Face's vast array of language models using the Langchain library. Langchain provides a high-level interface for integrating these models into your workflows.
Prompt Engineering
Crafting effective prompts is key to guiding the models' text generation. Langchain provides prompt templates to define prompt structure with placeholders.
Running Models Locally or Remotely
You can interact with Hugging Face models via remote API endpoints or run them locally using HuggingFacePipeline. We demo both approaches.
Building AI Web Apps
We've built a Streamlit web app with an intuitive UI for engaging with language models. This makes AI more accessible for mainstream users.
Description:
In this video, we dive into the world of building accessible and intuitive AI applications using Langchain and Hugging Face models. Discover how to leverage the power of these cutting-edge tools to create a user-friendly Streamlit web application that makes AI accessible to a wider audience.
Learn how to integrate Hugging Face models seamlessly into your application using Langchain's high-level abstractions and utilities. We'll guide you through the process of setting up both local and cloud-based models, ensuring flexibility and robustness in your AI application.
Explore the importance of prompt engineering for LLMs (Language Models) and how it can enhance the performance of your AI application. We'll demonstrate how to craft effective prompts using Langchain's prompt templates, allowing you to unlock the full potential of the Hugging Face models.
Throughout the tutorial, we'll walk you through the code structure of our Streamlit web application, highlighting key components such as environment configuration, model setup, query execution, and model selection. By understanding these core concepts, you'll be empowered to build your own AI-powered applications with ease.
Whether you're an AI enthusiast, developer, or looking to create engaging user experiences, this video will provide you with the knowledge and tools to build intuitive AI applications. We'll also touch on advanced topics like fine-tuning models and LoRA (Low-Rank Adaptation) optimization, giving you a glimpse into the future of AI development.
Join us on this exciting journey as we make AI more accessible and empower you to build impressive applications. Don't forget to check out the code repository on GitHub (link in the description) to access the complete codebase and start building your own AI applications today!
#Langchain #HuggingFace #AIApplication #StreamlitApp #PromptEngineering #FineTuning #LoRA #AccessibleAI
Link to GitHub repository: https://github.com/mrspiggot/Lucidate...