rafaelvp-db/databricks-llm-prompt-engineering
Examples of Prompt Engineering, Zero Shot Learning, Few Shot Learning and Retrieval Augmented Generation (RAG) using Hugging Face, Databricks and MLflow
This project helps machine learning engineers and data scientists refine how large language models (LLMs) respond to prompts for tasks like customer service. It provides tools and examples for experimenting with different prompting strategies and deploying optimized LLMs. You input various prompts and model configurations, and it helps you understand and improve the quality of the LLM's text output.
No commits in the last 6 months.
Use this if you are developing or fine-tuning large language models on Databricks and need to experiment with different prompt engineering techniques to improve model performance and deployment.
Not ideal if you are looking for a plug-and-play application for end-users or do not have experience with machine learning model development and deployment.
Stars
16
Forks
1
Language
Python
License
MIT
Category
Last pushed
Sep 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/rafaelvp-db/databricks-llm-prompt-engineering"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
promptfoo/promptfoo
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI....
bigscience-workshop/promptsource
Toolkit for creating, sharing and using natural language prompts.
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering,...
thunlp/OpenPrompt
An Open-Source Framework for Prompt-Learning.
promptfoo/promptfoo-action
The GitHub Action for Promptfoo. Test your prompts, agents, and RAGs. AI Red teaming,...