all AI news
Callbacks and Pipeline structures in LangChain
April 17, 2024, 7:21 p.m. | Roshan Santhosh
Towards Data Science - Medium towardsdatascience.com
Learn about the structure of LangChain pipelines, callbacks, how to create custom callbacks and integrate them into your pipelines for improved monitoring
Callbacks are an important functionality that helps with monitoring/debugging your pipelines. In this note, we cover the basics of callbacks and how to create custom ones for your use cases. More importantly, through examples, we also develop an understanding of the structure/componentization of LangChain pipelines and how that plays into the design of custom callbacks.
This note assumes …
basics callback cases create debugging genai langchain learn llm monitoring ones pipeline pipelines them through use cases
More from towardsdatascience.com / Towards Data Science - Medium
Are Data Scientists Fortune Tellers?
1 day, 3 hours ago |
towardsdatascience.com
Phi-3 and the Beginning of Highly Performant iPhone Models
1 day, 3 hours ago |
towardsdatascience.com
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York