Selecting the right GenAI model for production
Watch our on-demand webinar as our engineers review all steps of model evaluation, testing, when to use checkpoints vs LoRAs, and how to get the best results for your needs.
There are over 90k text gen models in the market. Picking the right LLM for your job is a critical step in productizing your GenAI project, but the sheer number of options can trip up even the savviest of teams.
You can’t afford to slow down your AI initiatives or bank on the wrong model. This on-demand shortened webinar walkthrough will help you streamline the process of model selection and onboarding, and provide a framework for evaluating LLMs in your GenAI stack.
This on-demand session will provide practical advice for engineering leads and technical decision makers tasked with delivering innovation with generative models.
You’ll learn:
How to narrow the universe of models to a short list fit for your task
Why would you choose to use a checkpoint vs. LoRA vs. a Community tune
How to evaluate model success across your prompts, data, training, and tuning
Options for self-hosting open source models in privacy/security sensitive use cases
How to achieve highly performant inference with optimal unit economics and hardware utilization
Watch now