Master the art of communicating with Large Language Models to get high-quality outputs.
Connect LLMs to external data sources for more accurate and grounded responses.
Implementing standardized protocols for model-to-data communication.
Building autonomous systems capable of reasoning and taking actions.
Storage and retrieval of high-dimensional embeddings for AI applications.
Working with industry-standard tools like LangChain, LlamaIndex, and AutoGPT.
Scaling and serving models in production environments using cloud and edge computing.
Applying knowledge to real-world scenarios through comprehensive end-to-end builds.