Exciting news! Scale partners with OpenAI, offering GPT-3.5 fine-tuning for enterprise clients. Scale's expertise + OpenAI's model = robust solutions.

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The company sells data curation tools to the likes of Toyota, PayPal, and the U.S. Air Force.

About the Tech TalkJoin Riley Goodside during this webinar on Advanced Prompt Engineering and RLHF. Prompt engineering is the magic behind top-notch language model responses. A well-written prompt is...

Scale AI provides free datasets for national security partners

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Roon guest-authors a post on large language models and the future of computing.

Alexandr Wang, who was a teen coding sensation hired straight from high school, is living the classic Silicon Valley success story.

Brad Porter, who recently defended working conditions at Amazon warehouses, leaves to run Scale’s tech division.

When Massachusetts Institute of Technology dropout Alexandr Wang made the Forbes 30 Under 30 Enterprise Technology list in 2018, his startup Scale used artif...

The machine learning research papers the Scale AI team read and discussed in Q1 2020.

Scale, a San Francisco-based data labeling startup, announced the release of a self-driving dataset -- nuScenes -- with more than 1.4 million images.

The hackathon was more than just a platform for hacking on cutting-edge projects, it was a community building event for passionate builders.

We built Scale GenAI Platform to help enterprises build, test, and deploy customized Generative AI applications more easily and quickly.

We at Scale AI felt inspired to use our computer vision training tools to put the two self driving methods to the test.

Scale raised $18M in Series B funding led by Index Ventures with Accel, Y Combinator, Drew Houston, and Justin Kan joining.

Scale and Anthropic are excited to announce our partnership to bring to market a full-stack solution for Generative AI applications, with a focus on safety and responsibility. This collaboration...

A.I. companies deliver yet another batch of impressive updates.

While transformers have become wildly popular in the ML world, the State of AI Report noted that two technologies, convolutional neural networks and multi-layered perceptrons, can provide benefits...

About the Tech TalkAs OEMs move from intense R&D to scaled production for advanced self-driving systems, the key to continuously improving system performance is creating a data engine. Data engines...

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF) - CarperAI/trlx

Scale AI, a California-based artificial-intelligence company, has found an oddity in Puerto Rico’s Port of Ponce — two idle ship-to-shore cranes.

As language models become more powerful, training and evaluation are increasingly bottlenecked by the data and metrics used for a particular task. For example, summarization models are often...

Find out which tech companies have enough momentum to become successful businesses and accelerate your career growth.

Instruction tuned Large Vision Language Models (LVLMs) have significantly advanced in generalizing across a diverse set of multi-modal tasks, especially for Visual Question Answering (VQA)....

The machine learning research papers the Scale AI team read and discussed in Q3 2020.

We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment...

Donovan is an AI Digital Staff Officer for national security that accelerates decision-making, uncovers insights, and expedites traditional workflows to achieve mission success.

How the machine learning team at Scale AI improved Pytorch Transformer architecture on sequence generation.

Proponents of the growing field argue that the early weirdness of AI chatbots can be avoided by a human giving the machine all the right instructions.

Scale Nucleus helps you curate and automatically tag your training data.

Introducing a new look and new features for our API Documentation

Scale has acquired SiaSearch to further enhance Nucleus, its data management platform.

Learn how to collect human-generated text, evaluate your model outputs with human feedback, and align your model to produce factually correct and safe content.

How to customize your API Documentation’s front-end leveraging cutting-edge platforms and frameworks.