No-Code Studio
Last updated
Last updated
"The best code is, is no code at all"
The No-Code Studio is what Vertical is all about, designing our platform to make "vertical" AI model fine-tuning accessible to everyone, regardless of technical expertise. It will serve as the central interface where users can customize AI models through an, no-code, user-friendly environment. By removing the need for coding skills, the Studio allows users to focus on the quality and results rather than then technical difficulties.
Our No-Code Studio is all about simplicity, efficiency and quality. The interface will offer a clean, visual workspace where users can manage their workflows easily. Our focus is to make it really accessible for everyone.
The steps will be as followed:
Select a foundation Large Language Model (LLM): You can choose your own LLM as the foundation of your model.
Select, create or modify your dataset: The quality of a"vertical" AI model depends on its data. Good data adds value and with our Studio, you can easily shape your dataset to optimize your model’s performance.
Specify parameters: Set specific parameters to improve your model’s quality based on its goals. Setting these parameters can make a big difference in the performance of your model.
Select your computational power: Choose the GPU power your model requires. We leverage a decentralized, distributed network of GPUs to provide the computational power needed to support your model’s demands.
Start fine-tuning: Optimize your model in our Studio with a user-friendly, iterative process that gives you full control over evaluating the input and output. This way, you can refine your model step-by-step to achieve the best results.
Drag-and-drop functionality.
Dataset creation and modification.
Decentralized GPU power.
Easy iterative fine-tuning.
Pre-built templates.
Automated workflows.
Our No-Code Studio will provide users with a user-friendly environment where they can create, deploy, and adopt AI models with ease, with the platform managing the underlying technical processes automatically.
