由于开源llm更容易传播有害或不道德的内容,故在开源前,大多数的model都会salignment,但model仍然容易受到对抗性inputs(jailbreak)的影响 最近,Zou 等人成功地发现了可以跨多个 LLM 传输的adversarial prompts,包括专有的黑盒模型。然而,针对对抗性输入进行优化的 automatic jailbreaks 非常复杂和计算成本高。 采用top-p...
What’s exciting is that many of these top LLMs are open-source. This means anyone with interest and some tech skills can use them, change them, and even improve them. It’s like having a super-smart AI friend that you can learn from and teach new tricks. ...
Readpaper:LLM360: Towards Fully Transparent Open-Source LLMs 主页:llm360.ai/blog/introduc 1 Idea LLM360是一个旨在完全开源大型语言模型(LLMs)的倡议,它提倡公开所有训练代码、数据、模型检查点和中间结果,以支持开放和协作的AI研究。 该倡议通过发布两个7B参数的LLMs——AMBER和CRYSTALCODER,展示了其对提高...
在多个公共基准测试和开放性评估中对DeepSeek LLM进行评估,包括代码、数学、推理等领域。 使用“Do-Not-Answer”数据集评估模型的安全性,确保模型在实际应用中能够提供安全、无害的响应。 通过这些步骤,论文不仅提出了一种新的扩展LLMs的方法,而且通过实际的模型训练和评估验证了这种方法的有效性。DeepSeek LLM项目展...
In the context of using llama.cpp with Python for a Large Language Model (LLM), you can adjust the temperature setting to control the creativity and randomness of the model’s responses. Here’s an example: # Import Llama libraryfromllama_cppimportLlama# Initialize the Llama model with a sp...
We’ve been seeing large language models (LLMs) spitting out every week, with more and more chatbots for us to use. However, it can be hard to figure out which is the best, the progress on each and which one is most useful.
bfloat16) inputs = tokenizer("The world is", return_tensors="pt") sample = model.generate(**inputs, max_length=128) print(tokenizer.decode(sample[0])) Citation @misc{XGen, title={Long Sequence Modeling with XGen: A 7B LLM Trained on 8K Input Sequence Length}, author={Erik Nijkamp,...
…ts.md (huggingface#1833) * Update: zh/intel-starcoder-quantization.md * Add: zh/open-source-llms-as-agents.md * Add: zh/sdxl_lora_advanced_script.md Signed-off-by: Matrix Yao <matrix.yao@intel.com> * Update: zh/sdxl_lora_advanced_script.md * add open-source-llms-as-agents ...
Choosing an open-source LLM is often the right path for businesses to take. [Adobe Stock | Studio Science] When it comes to choosing an LLM, there are two paths to take: open-source or not. We explore the benefits of going with an open-source LLM....
A user-friendly platform for operating large language models (LLMs) in production, with features such as fine-tuning, serving, deployment, and monitoring of any LLMs.