Understanding LLM performance with Weights & Biases and Snowflake's Snowpark Container Services
This demo video showcases how to use W&B Prompts, a suite of LLMOps tools, to log and visualize user prompts, store intermediate results and evaluate the final output SQL statements to be executed in Snowflake through Snowpark Container Services. This use case allows users to use natural language to query data in Snowflake without explicitly writing SQL manually.
Additional Resources:
→ wandb.me/llms
To connect with Anish Shah of Weights & Biases:
→ LinkedIn: / anish-shah
For more information about Weights & Biases:
→Website: https://wandb.ai/site
→LinkedIn: / weig. .
→Twitter: / weights_biases
Timestamps:
0:00 Intro to W&B
0:40 W&B on Snowflake's Snowpark
1:19 Conversational chatbot example
2:33 Snowflake's Snowpark container code