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Together AI – The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training
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GitHub - transformerlab/transformerlab-app: Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
github.com
GitHub - mit-han-lab/streaming-llm: Efficient Streaming Language Models with Attention Sinks
mit-han-labgithub.com🎄 lakera.ai
An Overview of Lakera Guard — Bringing Enterprise-Grade Security to LLMs with One Line of Code... See more
At Lakera, we supercharge AI developers by enabling them to swiftly identify and eliminate their AI applications’ security threats so that they can focus on building the most exciting applications securely.
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Testing framework for LLM Part
CrewAI
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转：关于 DeepSeek 的研究和思考 (Archerman Capital)
关于这几天很火的 DeepSeek, 我们 (Archerman Capital) 做了一些研究和思考, 和大家分享, enjoy! 灰色部分是技术细节, 不感兴趣的可略过。
几个事实
1) DeepSeek 不是套壳不是蒸馏美国的大模型。 虽然中国有些大模型是套壳和蒸馏的, 但 DeepSeek 不是。
2) 核心架构还是基于 Transformer, deepseek 在架构、工程设计上进行了创新和工艺提升, 实现效率优化。架构上, 采用了混合专家模型 (MoE)、多头潜注意力 (MLA)、多令牌预测 (MTP)、长链式推理 (CoT)、DualPipe 算法等设计, 并进行了依赖强化学习 (RL)... See more