Building LLM Applications With Prompt Engineering

Course Overview

With the incredible capabilities of large language models (LLMs), enterprises are eager to integrate them into their products and internal applications for a wide variety of use cases, including (but not limited to) text generation, large-scale document analysis, and chatbot assistants. The fastest way to begin leveraging LLMs for diverse tasks is by using modern prompt engineering techniques. These techniques are also foundational for more advanced LLM-based methods such as Retrieval-Augmented Generation (RAG) and Parameter-Efficient Fine-Tuning (PEFT). In this workshop, learners will work with an NVIDIA language model NIM, powered by the open-source Llama-3.1 large language model, alongside the popular LangChain library. The workshop will provide a foundational skill set for building a range of LLM-based applications using prompt engineering.