Description
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Pre-trained Large Language Models like ChatGPT offer impressive capabilities but they cannot be used in scenarios where the underlying data is proprietary and requires industry-specific knowledge. Businesses are rushing to build custom LLM applications that offer enhanced performance, control, customization and most importantly, competitive advantage. This bootcamp offers a comprehensive introduction to get started with building a ChatGPT on your own data. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset of your choice.
What you'll learn
- Understand the core principles of generative AI and LLMs.
- Explore LLM application architectures and their tradeoffs.
- Gain hands-on experience with vector databases and embeddings.
- Write effective prompts for LLM-driven applications.
- Utilize orchestration frameworks like LangChain and Llama Index.
- Deploy LLM applications on Azure and Hugging Face.
- Fine-tune and customize LLMs for specific tasks.
- Build a custom end-to-end LLM application using selected datasets and tailored workflows.
- Implement multi-agent LLM applications to enhance interaction and task automation.
- Evaluate and monitor LLM performance with advanced techniques.
Review
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