What is the best way to teach LLM programming using LlamaIndex?
What is the best way to teach LLM programming using LlamaIndex?
At a glance
The community members suggest that the best way to teach LLM programming using LlamaIndex is to start with the Understanding LlamaIndex series of tutorials. These tutorials cover every stage of building an LLM application, making them a great starting point for both beginners and experienced programmers new to LlamaIndex. LlamaIndex provides a unified interface for defining LLM modules from various sources, supports different types of endpoints, and comes with built-in prompts to handle data formatting. For more advanced users, LlamaIndex offers tools for evaluation and experiment tracking, as well as a guide on creating a unified query framework over indexes.
---------------------- The best way to teach LLM programming using LlamaIndex is to start with the Understanding LlamaIndex series of tutorials. This series provides bite-sized tutorials on every stage of building an LLM application, making it a great starting point for both beginners and experienced programmers new to LlamaIndex source ().
LlamaIndex provides a unified interface for defining LLM modules, whether it’s from OpenAI, Hugging Face, or LangChain. This interface supports text completion and chat endpoints, streaming and non-streaming endpoints, and synchronous and asynchronous endpoints source ().
LlamaIndex also comes with a set of built-in, battle-tested prompts that handle the tricky work of getting a specific LLM to correctly handle and format data. These prompts can be customized as needed source ().
For more advanced users, LlamaIndex provides tools for fine-grained evaluation and experiment tracking to systematically diagnose issues source ().
Finally, LlamaIndex offers a guide on how to create a unified query framework over your indexes, which can be useful for handling complex queries source (). ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------
