llm-engineering-101 and Prompt-Engineering-with-Llama-2
Maintenance
2/25
Adoption
4/25
Maturity
16/25
Community
12/25
Maintenance
0/25
Adoption
5/25
Maturity
8/25
Community
17/25
Stars: 5
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 14
Forks: 11
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m
No Package
No Dependents
No License
Stale 6m
No Package
No Dependents
About llm-engineering-101
equinor/llm-engineering-101
Getting started with prompting and engineering with LLMs
About Prompt-Engineering-with-Llama-2
ksm26/Prompt-Engineering-with-Llama-2
The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.
This course teaches developers how to write effective prompts and build applications using Meta's Llama 2 AI models. You will learn techniques for crafting input queries that get the best responses from Llama 2 Chat, Code Llama, and Llama Guard, and how to integrate these models safely into your software projects. It's for software developers, AI engineers, and data scientists looking to leverage Llama 2.
AI application development
Large Language Models (LLM)
AI safety
code generation
natural language processing
Scores updated daily from GitHub, PyPI, and npm data. How scores work