Sebastian Raschka
Tuesday, December 30, 2025
Sebastian Raschka, PhD
The State Of LLMs 2025: Progress, Problems, and Predictions
Large language models DeepSeek R1 Inference-time scaling LLM benchmarks AI architectures
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Summary
This article reviews the current state of large language models in 2025, covering recent developments including DeepSeek R1 and advances in inference-time scaling techniques.
It examines key topics such as LLM benchmarks, architectural innovations, and emerging challenges in the field.
The piece also offers predictions for the trajectory of LLM development in 2026.
Original Source
This article was originally published by Sebastian Raschka. Read the full original article for complete details, images, and author commentary.
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