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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Develop precise machine learning models using limited, sparse, and high-dimensional datasets without the need for extensive feature engineering by generating statistically optimized data representations. By mastering the extraction and representation of intricate relationships within your existing data, Dark Matter enhances model performance and accelerates training processes, allowing data scientists to focus more on solving complex challenges rather than spending excessive time on data preparation. The effectiveness of Dark Matter is evident, as it has resulted in notable improvements in model precision and F1 scores when predicting customer conversions in online retail. Furthermore, performance metrics across various models experienced enhancements when trained on an optimized embedding derived from a sparse, high-dimensional dataset. For instance, utilizing a refined data representation for XGBoost led to better predictions of customer churn in the banking sector. This solution allows for significant enhancements in your workflow, regardless of the model or industry you are working in, ultimately facilitating a more efficient use of resources and time. The adaptability of Dark Matter makes it an invaluable tool for data scientists aiming to elevate their analytical capabilities.

Description

GLM-5 is a next-generation open-source foundation model from Z.ai designed to push the boundaries of agentic engineering and complex task execution. Compared to earlier versions, it significantly expands parameter count and training data, while introducing DeepSeek Sparse Attention to optimize inference efficiency. The model leverages a novel asynchronous reinforcement learning framework called slime, which enhances training throughput and enables more effective post-training alignment. GLM-5 delivers leading performance among open-source models in reasoning, coding, and general agent benchmarks, with strong results on SWE-bench, BrowseComp, and Vending Bench 2. Its ability to manage long-horizon simulations highlights advanced planning, resource allocation, and operational decision-making skills. Beyond benchmark performance, GLM-5 supports real-world productivity by generating fully formatted documents such as .docx, .pdf, and .xlsx files. It integrates with coding agents like Claude Code and OpenClaw, enabling cross-application automation and collaborative agent workflows. Developers can access GLM-5 via Z.ai’s API, deploy it locally with frameworks like vLLM or SGLang, or use it through an interactive GUI environment. The model is released under the MIT License, encouraging broad experimentation and adoption. Overall, GLM-5 represents a major step toward practical, work-oriented AI systems that move beyond chat into full task execution.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APIFree
Cherry Studio
Claude Code
Claw Code
Cline
Dessix
GLM Coding Plan
GLM-5-Turbo
Kilo Code
Ollama
OpenClaw
OpenRouter
Qoder
Roo Code
Shiori
Sup AI
Tabbit Browser
Yonoo
Zo Computer

Integrations

APIFree
Cherry Studio
Claude Code
Claw Code
Cline
Dessix
GLM Coding Plan
GLM-5-Turbo
Kilo Code
Ollama
OpenClaw
OpenRouter
Qoder
Roo Code
Shiori
Sup AI
Tabbit Browser
Yonoo
Zo Computer

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Ensemble

Founded

2023

Country

United States

Website

ensemblecore.ai/

Vendor Details

Company Name

Zhipu AI

Founded

2023

Country

China

Website

z.ai/

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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Alternatives

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