What are the key considerations for selecting a foundational LLM model?

Here's a quick breakdown of the main points of what you should consider:

Performance:

• Accuracy, Fluency, Relevancy, Context Awareness, Specificity: Essentially, how well the LLM understands and completes the task at hand.

Risk Assessment:

• Explainability, Bias, Hallucination: These factors ensure the LLM's outputs are trustworthy and reliable.

Technical Considerations:

• Fine-tuning, API/Integration, Computational Resources: These points determine how well the LLM can be adapted and implemented within your Snowflake environment.

Additional Considerations:

• Cost, Scalability, Support: Practical factors to consider for long-term use.

These are all excellent points to keep in mind when choosing an LLM for your GenAI needs in Snowflake. Is there anything specific you'd like to delve deeper into regarding LLM selection?