Understanding LLM performance with W&B and 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 the need to explicitly write SQL manually.

Additional Resources:
→ wandb.me/llms

To connect with Anish Shah of Weights and Biases:
→ LinkedIn: https://www.linkedin.com/in/anish-shah

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case data demo intermediate language llm llmops natural natural language performance prompts query services snowflake snowpark sql through tools understanding video