GLM 4.7 delivers strong coding and reasoning, letting teams prototype more while staying within budget. At $0.44 per million tokens the AI model ...
GLM version 4.7 lifts software engineering accuracy from 68% to 73.8%, helping you ship cleaner code and UI faster. Terminal Bench rises from 24.5% to 41%, giving teams steadier ...
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Large language models (LLMs) have shown impressive performance on various ...
Scientists have developed a new type of artificial intelligence (AI) model that can reason differently from most large language models (LLMs) like ChatGPT, resulting in much better performance in key ...
Manipulating content within fixed logical structures. In each of the author’s three datasets, they instantiate different versions of the logical problems. Different versions of a problem offer the ...
Microsoft has announced Phi-4 — a new AI model with 14 billion parameters — designed for complex reasoning tasks, including mathematics. Phi-4 excels in areas such as STEM question-answering and ...
New Delhi: A new study by researchers from IIT Delhi and an international university found that today's leading AI models perform well on simple tasks but struggle with the complex reasoning needed ...
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...
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