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Understanding LLM Efficiency With Weights And Biases And Snowpark Container Providers



This demo video showcases how you can use W&B Prompts, a collection of LLMOps instruments, to log and visualize consumer prompts, retailer intermediate outcomes and consider the ultimate output SQL statements to be executed in Snowflake by way of Snowpark Container Providers. This use case permits customers to make use of pure language to question information in Snowflake with out the necessity to explicitly write SQL manually.

Extra Sources:
→ wandb.me/llms

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

For extra details about Weights and Biases:
→Web site: https://wandb.ai/site
→LinkedIn: https://www.linkedin.com/company/weights-biases
→Twitter: https://twitter.com/weights_biases

❄ Be part of our YouTube group ❄
https://bit.ly/3lzfeeB

Discover ways to construct your software on Snowflake:
→ builders.snowflake.com

Be part of the Snowflake Neighborhood:
→ group.snowflake.com

Search Your PDF App utilizing Langchain, ChromaDB, and Open Supply LLM: No OpenAI API (Runs on CPU)

Novices workshop to fine-tune OpenAI LLM mannequin with enterprise net knowledge in Python