Flagship model's coding benchmarks comparable to Claude Opus 4.5, company says Chinese AI firms race to release frontier models during Lunar New Year holiday Model developed using domestically ...

Chinese AI startup Zhupai aka z.ai is back this week with an eye-popping new frontier large language model: GLM-5. The latest in z.ai's ongoing and continually impressive GLM series, it retains an ...

GLM-4.7 is step forward over GLM-4.6 with improved functions for developers. It features robust support for coding workflows, complex reasoning, and agentic-style execution, giving the model greater ...

What if coding wasn’t just about writing lines of code but orchestrating a symphony of reasoning, creativity, and seamless execution? That’s exactly what GLM 4.7 promises to deliver. In the video, ...

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...

SINGAPORE--(BUSINESS WIRE)--Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and ...

Add a description, image, and links to the python-glm-pipeline topic page so that developers can more easily learn about it.

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

What if 90% of the AI tools you rely on today became irrelevant overnight? It’s not a hypothetical scenario, it’s the reality ushered in by GLM 4.5, a new AI model that’s reshaping the landscape of ...

Developed an end-to-end customer churn prediction ML pipeline using Python, pandas, and scikit-learn. Implemented and trained a logistic regression model, then deployed it as a REST API service using ...