Scale GenAI Platform

Scale GenAI Platform (Scale GP) is the platform to build optimized Generative AI applications. Test models and applications, implement advanced RAG pipelines, and fine-tune models to optimize performance. Accelerate your time to production and scale your Generative AI use cases across your organization.

Advanced Retrieval Augmented Generation (RAG) Tools

• LLMs can accurately reference your knowledge base with Scale’s tools for optimized Retrieval Augmented Generation (RAG).
• Convert knowledge base data into embeddings to serve as long-term memory, which the model can retrieve.
• Our comprehensive toolset includes data connectors, custom embedding models, vector stores, chunk summarization, chunk and metadata extraction, advanced reranking, and RAG and reranker fine-tuning.

Test and Evaluate Generative AI Applications

• Optimize the performance of your applications by testing different data, prompts, RAG pipelines, models, and fine-tuning strategies.
• Compare and evaluate base models and customized completion, embedding, and reranking models to determine the best model mix for your use case.
• Perform automated and human-in-the-loop benchmarking of the performance, reliability, and safety of your customized models or entire Generative AI applications.
• Create and manage test cases, define evaluation metrics, perform evaluations with subject matter experts, and analyze evaluation results.

Custom Model Builder

• Fine-tune LLMs using your proprietary data or Scale expert data to improve performance & reliability on your unique use cases, while reducing latency and token consumption.
• Choose from any leading closed or open-source foundation models, including OpenAI’s GPT-4 Cohere’s Command, and Meta’s Llama 2.
• Leverage the Scale Data Engine to transform your data, and generate the highest quality training data for any use case.

Deployments

• Deploy, manage, and monitor your custom models with enterprise-grade safety and security built-in.
• Easily create new deployments with the required compute resources, adjust settings, and toggle deployment status.
• Monitor token consumption and API calls with convenient dashboards for all deployments or individual model instances.

Enterprise-Ready

• Securely customize and deploy Generative AI applications in your own VPC, including AWS and Azure.
• Enterprise-grade RBAC and SAML SSO built-in.
• Secure centralized management of API keys.

Features

• Custom Model Training: Allow users to train custom AI models using their own datasets, enabling more personalized and accurate outputs.
• Multi-Modal Capabilities: Support for text, image, and audio inputs and outputs, allowing users to create diverse types of content.
• Real-Time Collaboration: Enable multiple users to work on AI projects simultaneously, with features like live editing and version control.
• API Integration: Provide robust APIs for easy integration with other applications and services, enhancing the platform’s versatility.
• Advanced Analytics Dashboard: Offer detailed analytics and insights on model performance, usage statistics, and user engagement to help users optimize their AI projects.