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ease
features
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support

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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.

Description

Tinker is an innovative training API tailored for researchers and developers, providing comprehensive control over model fine-tuning while simplifying the complexities of infrastructure management. It offers essential primitives that empower users to create bespoke training loops, supervision techniques, and reinforcement learning workflows. Currently, it facilitates LoRA fine-tuning on open-weight models from both the LLama and Qwen families, accommodating a range of model sizes from smaller variants to extensive mixture-of-experts configurations. Users can write Python scripts to manage data, loss functions, and algorithmic processes, while Tinker autonomously takes care of scheduling, resource distribution, distributed training, and recovery from failures. The platform allows users to download model weights at various checkpoints without the burden of managing the computational environment. Delivered as a managed service, Tinker executes training jobs on Thinking Machines’ proprietary GPU infrastructure, alleviating users from the challenges of cluster orchestration and enabling them to focus on building and optimizing their models. This seamless integration of capabilities makes Tinker a vital tool for advancing machine learning research and development.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Python
Qwen
Qwen3

Integrations

Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Python
Qwen
Qwen3

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AutoScientist

Country

United States

Website

www.adaptionlabs.ai/blog/autoscientist

Vendor Details

Company Name

Thinking Machines Lab

Country

United States

Website

thinkingmachines.ai/tinker/

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