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Navigating an AI-Enabled Future

by Eric Schmidt

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Understanding & Interacting With The Real World

by Fei Fei Li

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Building AI-Native Products & What’s Next For AI

by Nat Friedman

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The Future of LLMs, Foundation & Generative Models

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The State of AI Adoption

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AI FOR THE ENTERPRISE

Generative AI Architecture

Whether you’re building your own models or applying foundation models to your business, data remains the biggest bottleneck to AI.

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Enterprise GenAI Platform

The only full-stack GenAI Platform for your Enterprise, powered by the Scale Data Engine.

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Fine-Tuning and RLHF

Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.

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Foundation Models

Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.

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Enterprise Data

Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.

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Scale Data Engine

For AI teams, Scale Data Engine improves your models by improving your data.

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RLHF

Powering the next generation of Generative AI

Scale Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.

Data Labeling

The best quality data to fuel the best performing models

Scale has pioneered in the data labeling industry by combining AI-based techniques with human-in-the-loop, delivering labeled data at unprecedented quality, scalability, and efficiency.

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Data Curation

Unearth the most valuable data by intelligently managing your dataset

Scale’s suite of dataset management, testing, model evaluation, and model comparison tools enable you to “label what matters.” Maximize the value of your labeling budget by identifying the highest value data to label, even without ground truth labels.

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Generative AI Applications

Easily Apply AI to your most challenging use cases with pre‑built applications that harness the power of customized LLMs.

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AI-Powered Decision-Making for Defense

AI-powered decision-making support: plan, analyze, and act in minutes.

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AI for the Enterprise

Transform your data into customized enterprise-ready Generative AI applications.

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LEARN HOW WE SERVE ENTERPRISES LARGE AND SMALL

Case Studies & Resources

We've worked with the world's leading AI teams for years, and delivered more high-quality data than anybody else.

Why Is ChatGPT So Good?

Blog

Why Is ChatGPT So Good?
Guide to Data Annotation

Guide

Guide to Data Annotation
Good Call

Customer Case Study

Good Call
Diffusion Models: A Practical Guide

Guide

Diffusion Models: A Practical Guide
Open Dataset: Ukraine Damage Identification

Dataset

Open Dataset: Ukraine Damage Identification
Meet Claude: Anthropic’s rival to ChatGPT

Blog

Meet Claude: Anthropic’s rival to ChatGPT
Open Dataset: Agreement/Disagreement Dataset of Reddit Interactions

Dataset

Open Dataset: Agreement/Disagreement Dataset of Reddit Interactions
How Much Better Is OpenAI's Newest GPT-3 Model?

Blog

How Much Better Is OpenAI's Newest GPT-3 Model?
Toyota Research Institute

Customer Case Study

Toyota Research Institute
Discovering Emerging Short Form Video Trends with Clustering and HiTL

Blog

Discovering Emerging Short Form Video Trends with Clustering and HiTL
How OpenAI worked with Scale to build InstructGPT

Blog

How OpenAI worked with Scale to build InstructGPT

CUSTOMERS

We have changed the game of AI data—hear it from our customers.

From RLHF to data labeling to model evaluation to enterprise apps, learn from experts why Scale is key to any AI strategy.

The U.S. intelligence community has spent an enormous amount of resources on collection but the sheer volume that returns is a huge problem. Scale’s LLMs are the tool that will allow the IC to finally and fully exploit all of that intelligence that has been collected.

Michael Burns

Former Deputy Director of Analysis Central Intelligence Agency

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