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Use Meta Llama 3.1 405B to Build Custom LLMs with Synthetic Data Generation and Distillation This guide provides the instructions for creating custom LLMs with synthetic data and d · License unknown · Maintenance unknown
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Use Meta Llama 3.1 405B to Build Custom LLMs with Synthetic Data Generation and Distillation
Overview
This guide provides the instructions for creating custom LLMs with synthetic data and distillation using Snowflake Cortex AI.
By the end of this quickstart guide, you will be able to use Snowflake Cortex AI to:
- Generate Synthetic Data: Prompt
llama3.1-405bto generate synthetic customer support tickets. - Prepare: Training dataset for distilling the knowledge from a foundation model into a small custom LLM.
- Distill: The knowledge from the large model to fine-tune model a smaller model and achieve high accuracy at fraction of cost.
- Generate: Custom email/text communications tailored to each support ticket
Step-By-Step Guide
For prerequisites, environment setup, step-by-step guide and instructions, please refer to the QuickStart Guide.