by AI-Maker-Space · Agent Tool · ★ 292
:wave: Welcome to LLM Ops: LLMs in Production, Cohort 1! Access all of the concepts and code directly YouTube to start building, shipping, and sharing with LLM Ops! Async Learning Outcomes Build complex apps with LLM Ops frameworks including LangChain and LlamaIndex. Understand LLM product development methods, from prompting to retrieval and beyond. Build, deploy, evaluate, and operate your own end-to-end production RAG system. Note: This course was taught from August, 15, 2023 to September 7, 2023. As such, there may be aspects of the code that require updates for full functionality.
| Stars | 292 |
| Forks | 99 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 54.2240553201884/100 |
| Open Issues | 3 |
| Last Updated | 2024-04-11 |
| Created | 2023-08-15 |
| Est. Tokens | ~15k |
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LLM-Ops-Cohort-1 is Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies that enable Generative AI practitioners like you to leverage to. It is categorized as a Agent Tool with 292 GitHub stars.
LLM-Ops-Cohort-1 is primarily written in Jupyter Notebook.
You can find installation instructions and usage details in the LLM-Ops-Cohort-1 GitHub repository at github.com/AI-Maker-Space/LLM-Ops-Cohort-1. The project has 292 stars and 99 forks, indicating an active community.