Position: LLM developer
Company: SerenityGPT
Category: Python
Experience required: 2y

Build a chatbot to make customer support more efficient. Start with a specific dataset and figure out which approaches work best.

First task:
Pick a public dataset such as Jira's "Jira-Software-questions" and experiment with different approaches to train a chatbot to answer questions based on the information in the dataset.

Approaches to try:
- in-context learning
- fine-tuning
- interaction between the retriever and LLM

Stack / libraries
- langchain, haystack, etc
- vector databases
- open source chat-bots like vicuna and koala.
- ChatGPT