What is Local LLMs by Sttabot AI?
Build locally-hosted LLMs using top machine learning libraries like PyTorch, TensorFlow, NLTK, HuggingFace, etc. with 100% no-code.
Problem
Users face challenges in building locally-hosted LLMs due to the complexity of machine learning libraries. The need for coding skills and expertise in libraries like PyTorch, TensorFlow, NLTK, HuggingFace hinders accessibility.
Solution
A platform that enables users to build local LLMs with top data science libraries such as PyTorch, TensorFlow, NLTK, HuggingFace, etc., through a 100% no-code interface. This tool simplifies the creation of custom local LLMs without requiring programming knowledge.
Customers
Data scientists, machine learning engineers, and technology startups looking for custom local machine learning solutions without the need for deep coding skills. Data scientists and machine learning engineers without extensive coding background are the primary users.
Unique Features
The primary unique feature is the 100% no-code interface that drastically simplifies building local LLMs using advanced data science libraries.
User Comments
Simplifies the process of building LLMs without coding.
Supports major machine learning libraries.
Ideal for beginners in machine learning.
Speeds up the development process of local LLMs.
Great for prototyping machine learning models.
Traction
Unable to provide specific figures without current data. Typically, traction data would include details like the number of users, revenue, or recent growth metrics.
Market Size
The global machine learning market size was valued at $15.5 billion in 2021 and is expected to grow with a significant CAGR.
