A simple interpretation of an open source large-scale language model LLaMA paper, LLaMA: Open and Efficient Foundation Language Models - Code World

A simple interpretation of an open source large-scale language model LLaMA paper, LLaMA: Open and Efficient Foundation Language Models

Enterprise 2023-05-18 05:51:33 views: null

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Origin blog.csdn.net/a1920993165/article/details/130044242

A simple interpretation of an open source large-scale language model LLaMA paper, LLaMA: Open and Efficient Foundation Language Models

LLaMA Open and Efficient Foundation Language Models

LLaMA: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

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Evolution History of Open Source Language Large Models: Keeping pace with LLaMA 2

Chinese LLaMa and Alpaca Large Language Model Open Source Solution | Expand Chinese Vocabulary & Efficiently Encode Chinese Corpus

Free commercial Meta releases Llama 2, an open source large language model

Baichuan 2 of LLMs: Translation and interpretation of "Baichuan 2: Open Large-scale Language Models"

The Chinese version of the open source Llama 2 has language and multi-modal large models at the same time, which is completely commercially available

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PMC-LLaMA: Towards Building Open-source Language Models for Medicine

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【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

Large-scale language models from theory to practice: model foundation, data, reinforcement learning, application, evaluation

The second wave of Alibaba Cloud Tongyi Qianwen open source! The large-scale visual language model Qwen-VL is launched on Moda Community

Microsoft Office AI tools are priced at US$30 per person per month; Meta is open source, free and commercially available large language model Llama 2; Meituan applies for the Meituan Light Year trademark |

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