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A 2025 review of large language models, from DeepSeek R1 and RLVR to inference-time scaling, benchmarks, architectures, and predictions for 2026.
By OpenSmartRoute editorial · attributed excerpt
This post is in the archive: it was published on Dec 30, 2025 and the models, prices or APIs it describes may have changed since. See the latest posts.
A 2025 review of large language models, from DeepSeek R1 and RLVR to inference-time scaling, benchmarks, architectures, and predictions for 2026.
Read the original at Ahead of AI (Sebastian Raschka): The State Of LLMs 2025: Progress, Problems, and Predictions
Source: https://magazine.sebastianraschka.com/p/state-of-llms-2025
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