
Mastering Long Context AI through MiniMax-01
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
Constitutional Classifiers provide a robust framework to defend LLMs against universal jailbreaks, leveraging adaptive filtering
Author(s): Mohamed Azharudeen M, Balaji Dhamodharan
Kolmogorov-Arnold Networks (KAN) offer a groundbreaking approach to language model architecture, enabling efficient continual learning
Microsoft’s Phi-3 small and medium models, released under the MIT license, set new performance benchmarks,
Functional tokens streamline enterprise-grade agentic systems by enhancing function prediction efficiency in language models.
Leafmap now supports one-line downloads of Google Open Buildings data, simplifying access to the largest
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