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Description

Adaption equips users with the necessary tools to create AI models that can evolve alongside shifting data and requirements. This comprehensive web platform incorporates essential features such as data preparation, synthetic data generation, dataset exploration, and the process of model training. The Adaptive Data feature allows users to import various files and datasets from sources like Hugging Face or Kaggle, facilitating column mapping, deduplication, prompt transformation, augmentation, translation, and evaluation. By utilizing the Invent a Dataset function, users can generate instruction or preference data based on a specified written objective. The Visualize component enhances user experience by supporting inquiries, providing interactive charts, and enabling detailed inspection of text and tabular data on a row-by-row basis. AutoScientist plays a crucial role in optimizing training data and tailoring model recipes to meet specific goals, conducting experiments, assessing outcomes, and exporting refined models. The platform also includes workflows that cover fine-tuning, alignment, multilingual dataset expansion, and thorough data-coverage analysis. Additionally, Adaption provides API access along with a Python SDK, facilitating the seamless integration of these tools into AI development workflows, ultimately enhancing productivity and efficiency in model creation. As such, it serves as a comprehensive resource for developers seeking to leverage AI capabilities effectively.

Description

AutoScientist is an innovative system designed to enhance and automate the comprehensive research process involved in model training and alignment, empowering more teams to influence and improve the AI technologies they rely on. Although model training and reinforcement learning serve as some of the most effective methods for model development, achieving success in these areas can be particularly challenging outside of leading research facilities due to issues like catastrophic forgetting, overfitting on limited or subpar datasets, and conflicting training signals. AutoScientist automatically co-optimizes both data and model training strategies, continuously refining both aspects until the outcome aligns with the user’s objectives. While Adaptive Data focuses on optimizing inputs, AutoScientist is dedicated to refining the model, effectively executing the entire research cycle from start to finish, ensuring users receive models that are finely tuned to their specific goals. This self-sustaining process allows for simultaneous co-optimization of data and training strategies, iterating seamlessly until the model achieves the desired behavior as specified by the user, ultimately leading to enhanced performance and usability.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Hugging Face Yes 
Kaggle Yes 
Together AI Yes 

Integrations

Hugging Face No 
Kaggle No 
Together AI No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Adaption

Founded

2026

Country

United States

Website

adaptionlabs.ai

Vendor Details

Company Name

AutoScientist

Country

United States

Website

www.adaptionlabs.ai/blog/autoscientist

Product Features

Product Features

Alternatives

No Alternatives

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