How to Select the right LLM for your GenAI app

This conversation discusses how to select the right large language model for your application. It covers the model selection process, paths to production, and the considerations for choosing a model based on outcomes, constraints, and success measures. The conversation also explores architectural choices, costs, flexibility, privacy, and scalability. Real-life examples of successful model evaluations are provided, along with offers from OctoAI for their SaaS product and self-hosted generative AI solution.
Takeaways
There are over 90,000 text generation models available on the market, making model selection challenging.
Model selection should be based on outcomes, constraints, and success measures.
Consider architectural choices, costs, flexibility, privacy, and scalability when choosing a language model.
Real-life examples show the impact of fine-tuning models on lowering costs and improving performance.
OctoAI offers a SaaS product and a self-hosted generative AI solution for model selection and evaluation.

Chapters
00:00
Introduction: Selecting the Right Language Model
03:08
Paths to Production: Model Selection Process
05:48
Considerations for Choosing a Language Model
08:12
Real-Life Examples of Successful Model Evaluations
10:51
OctoAI: Solutions for Model Selection and Evaluation