LLaMA vs 腾讯ima.copilot：怎么选？

关于 LLaMA

The fine-tuned models were trained for dialogue applications. To get the expected features and performance for them, a specific formatting defined inchat_completionneeds to be followed, including theINSTand>tags,BOSandEOStokens, and the whitespaces and breaklines in between (we recommend callingstrip()on inputs to avoid double-spaces).

We are also providing downloads onHugging Face. You can request access to the models by acknowledging the license and filling the form in the model card of a repo. After doing so, you should get access to all the Llama models of a version (Code Llama, Llama 2, or Llama Guard) within 1 hour.

Llama 2 is a new technology that carries potential risks with use. Testing conducted to date has not — and could not — cover all scenarios. In order to help developers address these risks, we have created theResponsible Use Guide. More details can be found in our research paper as well.

腾讯ima.copilot是腾讯基于自研混元大模型推出的AI智能工作台，专为学习与办公场景打造。它具备智能问答功能，能快速解析复杂问题并生成精准答案；支持文档处理，可自动提炼摘要、润色文本或生成报告初稿；还提供多模态交互能力，能理解图片和语音指令，提升操作效率。这款工具适合学生、职场人士、研究者等需要高效处理信息的人群，可用于学术论文查阅、会议纪要生成、方案策划及日常学习答疑等场景，帮助用户节省时间并聚焦核心任务。