26 4 133

Joseph g flowers

Josephgflowers

AI & ML interests

None yet

Recent Activity

liked a dataset 2 days ago

LDJnr/Pure-Dove

liked a model 4 days ago

Snowflake/snowflake-arctic-instruct

liked a dataset 4 days ago

layoric/labeled-multiple-choice-explained

View all activity

Organizations

Josephgflowers's activity

liked a dataset 2 days ago

LDJnr/Pure-Dove

Viewer • Updated Jun 3 • 3.86k • 99 • 74

liked a model 4 days ago

Snowflake/snowflake-arctic-instruct

Text Generation • Updated May 21 • 10.1k • 349

liked a dataset 4 days ago

layoric/labeled-multiple-choice-explained

Viewer • Updated Jun 26, 2023 • 9.1k • 72 • 3

liked a model 6 days ago

NexaAIDev/omnivision-968M

Updated about 3 hours ago • 7.76k • 387

liked a dataset 6 days ago

microsoft/orca-agentinstruct-1M-v1

Viewer • Updated 23 days ago • 1.05M • 2.19k • 343

Reacted to csabakecskemeti's post with 👀 6 days ago

Post

1494

I've built a small open utility pip package called LLM-Forwarder that allows you to inject context, such as adding a private RAG, into existing chat applications by forwarding the app through the LLM-Forwarder. In the forwarder server, you can configure custom code to re-process chat messages and alter the user prompt, for example, by adding extra context.

https://pypi.org/project/llm-forwarder/
More details
https://devquasar.com/llmforwarder/