Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ReinforceNow serves as a comprehensive platform dedicated to ongoing learning through AI agents, designed to assist teams in deploying, training, and iterating efficiently. Developers are empowered to create AI agents that can be continuously trained using production traffic, or they can opt for Claude Code to configure the setup automatically. The platform manages vital components such as reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, allowing teams to concentrate on refining agent logic, data collection, and reward systems. With support for rapid LLM fine-tuning using LoRA, high-throughput training capabilities, and extensive compatibility with open-source models including Qwen, DeepSeek, and GPT-OSS, ReinforceNow enhances developers' efficiency. It offers sophisticated telemetry features that help evaluate, monitor, and iterate on AI agent LLM applications, including detailed traces, reward systems, experiment metrics, and training visibility. Teams can tackle extended tasks that require context sizes ranging from 32k to 1 million, create specialized agents for multi-turn interactions and long-duration tasks, and access an array of tools to streamline their reinforcement learning workflows, ultimately fostering innovation in AI development.
Description
Smaug Flash encompasses a trio of open-weight models meticulously fine-tuned by Abacus.AI to address production agentic workloads, with each model strategically placed along the capability–efficiency spectrum. This model line is developed through a combination of human-curated real-world agentic data and synthetic examples grounded in challenging scenarios, which results in enhancements in agentic programming, real-world tool utilization, automation, long-context reasoning, and adherence to instructions. The flagship model, Smaug Flash, derived from DeepSeek V4 Flash 0731, serves as the primary solution for enterprise agents that require a harmonious blend of speed, efficiency, and dependable performance. Its specific tuning minimizes the potential for spins and confusion during extensive tool use while preserving the speed advantages of the base model. Additionally, Smaug Mini, built on Qwen3.8 27B, is designed for multimodal applications and smaller reasoning tasks, offering a more compact solution with improved real-world agentic capabilities for singular workflows. Together, these models cater to diverse operational needs across various applications, showcasing the versatility of the Smaug Flash family.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Claude Code
Yes
DeepSeek
Yes
Google Cloud Platform
Yes
Qwen
Yes
Runpod
Yes
gpt-oss-120b
Yes
Integrations
Amazon Web Services (AWS)
No
Claude Code
No
DeepSeek
No
Google Cloud Platform
No
Qwen
No
Runpod
No
gpt-oss-120b
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ReinforceNow
Country
United States
Website
www.reinforcenow.ai/
Vendor Details
Company Name
Abacus.AI
Founded
2019
Country
United States
Website
abacus.ai/smaug