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Thursday, Mar 9th - 10am PST: LLM Prompt Engineering and RLHF: History and
Techniques by Scale Events

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Conference

PRODUCTS

 * Scale RapidThe fastest way to production-quality labels.

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 * Scale ImageComprehensive annotations for images.

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 * Scale TextSophisticated annotations for text-based data.

 * Scale AudioAudio Annotation and Speech Annotation for NLP.

 * Scale MappingThe flexible solution to develop your own maps.

 * Scale CatalogCreate, enrich, and enhance eCommerce data.

 * Scale Enterprise AIModels to support your business use cases.

 * Scale NucleusThe mission control for your data

 * Scale LaunchShip and track your models in production

 * Scale Content UnderstandingManage content for better user experiences

 * Scale InstantMLNext-day machine learning models, without ML expertise

 * Scale SpellbookThe platform for large language model apps

 * Scale SyntheticGenerate synthetic data

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Customers
 * Overview
 * The Problem
 * The Solution
 * The Result


WITH SCALE RAPID, ADVANCED.FARM SCALES ITS APPLE-PICKING OPERATIONS



Overview


ADVANCED.FARM IS BUILDING THE FUTURE OF FARMING

Advanced.farm is building the future of farming by using robotics to automate
the toughest tasks in agriculture, making farms safer and more productive.
Focusing on the most resource-intensive tasks, advanced.farm has automated
solutions for strawberry and apple picking and will be scaling to other
challenges in the near future. Advanced.farm is building the advanced platform
for agricultural equipment by combining advanced robotics, autonomous
navigation, and a state-of-the-art computer vision machine learning (CVML)
stack.

The Problem


ADVANCED.FARM NEEDED A LARGE NUMBER OF ANNOTATIONS EVERY DAY

Advanced.farm was working on refining its apple-picking capabilities, and with
numerous varieties and a short picking season, it was challenging to maintain
pace. As they built out their CVML capabilities for apples, finding a labeling
solution that would allow them to regularly create new projects and receive a
quick turnaround on labeled images was essential.

To succeed in their first apple-picking season, advanced.farm knew it was
essential to be able to quickly run a large number of images through the
annotation pipeline, create new projects as the variety of apples changed, and
make sure that their models were as performant and accurate as possible on real
data.

"With other solutions, it was often tough to incorporate several different
annotation attributes into a single project, but with Rapid, we were able to
confidently create projects with multiple complex attributes and receive quality
turnaround within the timeframe we were looking for."

Roshan Bal

CVML Engineer,  advanced.farm

The Solution


SCALE RAPID GIVES ADVANCED.FARM HIGH-QUALITY LABELS WITHIN HOURS

Advanced.farm began working with Scale Rapid to acquire large volumes of
high-quality annotations to address this challenge. These annotations provide
the data that advanced.farm needed to improve its models. 

Advanced.farm came to Scale for training data to enable their robots to pick
apples more reliably—with precision and speed. At first, they turned to Scale
Studio, leveraging their labeling team to take advantage of their domain
expertise. However, they quickly found that the dataset sizes they hoped to
train their models on required more work than their in-house staff could
accommodate. 

To tackle the transition from strawberries to apples and scale to new orchards,
advanced.farm turned to Scale to reliably and robustly produce training data
with accurately labeled apples.

The biggest bottleneck in training or retraining models is getting quality
annotations. Previously this took advanced.farm up to a week, but with Rapid,
they got quality data within 24 hours, which helped them iterate throughout the
Apple season as their needs changed.

Advanced.farm required 50,000 annotations to be returned within 24 hours, and
Scale completed these annotations within that time frame at high quality. Other
providers took a full week to return the same volume of annotations.

With other solutions, advanced.farm found it challenging to incorporate several
different annotation attributes into a single project, but with Rapid, they
could confidently create projects with multiple complex attributes and receive
quality turnaround quickly. In turn, this improved the efficiency of its data
pipelines so it could get the performance it needed more quickly.

"With Rapid, we were able to upload images and receive tens of thousands of
annotations within a 24 hour time period, which greatly helped us succeed at
picking different types of Apple varieties throughout the harvest."

Roshan Bal

CVML Engineer,  advanced.farm

The Result


ADVANCED.FARM CAN SCALE ITS OPERATIONS IN DAYS, NOT WEEKS

Scale Rapid helped advanced.farm start picking apples at new orchards faster.
Advanced.farm found the partner they needed to enable them to scale quickly, and
they are looking forward to continuing their growth into new farms and
additional fruits and vegetables in the near future.

"Scale AI enabled us to turn around our data models very quickly. We would get
to a new variety, learn the proper color we were trying to pick, and they would
have the result back to us very quickly on the data labels in a way that other
companies couldn't do."

Peter Ferguson

Director of Business Development,  advanced.farm


GET STARTED TODAY

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 * PRODUCTS
   
   * Scale Rapid
   * Scale Studio
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   * Scale Image
   * Scale Video
   * Scale Text
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   * Scale Nucleus
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 * SOLUTIONS
   
   * Retail & eCommerce
   * Defense
   * Logistics
   * Autonomous Vehicles
   * Robotics
   * AR/VR
   * Content & Language
   * RLHF


 * COMPANY
   
   * About
   * Pricing
   * Careers
   * Security
   * Legal


 * RESOURCES
   
   * Blog
   * Customers
   * Events
   * Open Datasets
   * Interviews
   * Documentation
   * Guides
   * Community
   * AI Readiness Report


 * GUIDES
   
   * Data Labeling
   * ML Model Training
   * Diffusion Models
   * Guide to AI for eCommerce
   * Computer Vision Applications


 * CONTACT
   
   * sales@scale.com
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   * press@scale.com
     

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