Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
FalconTune© is an advanced software solution designed for the tuning of PID loops within distributed control systems (DCS) and programmable logic controllers (PLC). For those interested, a comprehensive overview of the software can be provided. While FalconTune© is specifically fine-tuned for Yokogawa DCS©, its compatibility extends to any DCS or PLC that utilizes the OPC communication protocol. Users benefit from various licensing options that cater to their needs, including yearly, perpetual, workplace-based, and site-wide licenses. The research and development team at IMB Controls Inc. focuses on innovations in process control. This company, founded by Dr. Igor Boiko—a prominent figure in control systems research—has launched FalconTune, an automated solution for PID loop tuning. Currently, Dr. Boiko holds a professorship in Electrical Engineering at the Petroleum Institute (PI) located in Abu Dhabi, where he continues to contribute to advancements in the field. The combination of cutting-edge technology and expert knowledge makes FalconTune a valuable tool for engineers and technicians alike.
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
No
API Access
Has API
Yes
Integrations
Inkling
No
Inkling-Small
No
Llama 3
No
Llama 3.1
No
Llama 3.2
No
Llama 3.3
No
Python
No
Qwen
No
Qwen3
No
Integrations
Inkling
Yes
Inkling-Small
Yes
Llama 3
Yes
Llama 3.1
Yes
Llama 3.2
Yes
Llama 3.3
Yes
Python
Yes
Qwen
Yes
Qwen3
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IMB Controls
Website
www.imbcontrols.com/falcontune/
Vendor Details
Company Name
Thinking Machines Lab
Country
United States
Website
thinkingmachines.ai/tinker/
Product Features
Calibration Management
Calibration Instructions
No
Calibration Schedules
No
Compliance Management
No
Device History
No
Due Date Tracking
No
Gage Management
No
Label Printing
No
Measurement Readings
No
Multi-Station Management
No
Out-of-Tolerance Notification
No
Statistical Data Reporting
No