As more businesses and developers adopt LLMs, there is a growing challenge in effectively managing, tracking, and improving models. Without a dedicated platform, developers and teams often struggle with:

• Lack of centralized model storage and version tracking.
• Inability to easily compare different versions of their models.
• No efficient way to monitor key performance metrics over time.
• Complex deployment and scaling processes for managing multiple models.

These challenges create inefficiencies in both the development and deployment of LLMs, especially for small to medium-sized companies without access to expensive enterprise solutions.

Our startup aims to create a centralized command center and version control system specifically designed for Large Language Models (LLMs). This platform will function as a GitHub-style repository for LLMs, allowing small companies and software developers to store, evaluate, and monitor their LLMs across multiple versions.

Our essential components consist of:

• Connecting all LLM Workflow data sources (model files, datasets, prompt injections, etc.) to BatchFlow to create a source of truth for the black box of LLMs. No coding required.
• Creating prompts personalized to datasets allowing for easy evaluation on small, in-house LLMs.
• Integrating a version control system to easily access model analytics and compare effectiveness of different prompting techniques.

Evaluation Wireframe:
Version Access Wireframe:

With the increasing complexity and prevalence of LLMs, the need for efficient model management and evaluation tools has become crucial. Our solution will also provide an intuitive dashboard that displays essential metrics, such as accuracy, model performance, and version history, allowing users to make data-driven decisions about their models.

We are currently seeking mentors to provide guidance and are looking for AI and database professionals for additional support.

batchfloworg@gmail.com