Complete Guide to Building, Deploying, and Optimizing Generative AI with Langchain and Huggingface
What you'll learn
- Learn to create advanced generative AI applications leveraging the Langchain framework and Huggingface's state-of-the-art models.
- Understand the architecture and design patterns for building robust generative AI systems.
- Gain hands-on experience in deploying generative AI models to various environments, including cloud platforms and on-premise servers.
- Explore different deployment strategies, ensuring scalability and reliability of AI applications.
- Develop Retrieval-Augmented Generation (RAG) pipelines to enhance the performance and accuracy of generative models by integrating retrieval mechanisms.
- Learn to seamlessly incorporate Huggingface's pre-trained models into Langchain applications, leveraging their powerful NLP capabilities.
- Customize and fine-tune Huggingface models to fit specific application requirements and use cases.
- Work on real-world projects that illustrate the application of generative AI in various domains, such as chatbots, content generation, and data augmentation.