Deploying an open-source code LLM for your team right can be difficult. You need to: find a deployment method that is private and secure enough consistently get the GPUs you need when you need them make sure your LLM of choice works reliably on those GPUs ...
Evaluation is how you pick the right model for your use case, ensure that your model’s performance translates from prototype to production, and catch performance regressions. While evaluating Generative AI applications (also referred to as LLM applications) might look a little different, the same ...
This is the placeholder which lets us load the model. In this case I will be using thePhi-3-mini-128k-cuda-int4-onnx. \n Context Instructions:This is the system prompt for the model. It guides the model the way in which it has to behave to a particular scena...
While all of the Top 10 risks are important to LLM security, only a subset represents the intersection of code quality and LLMs. Specifically, these five: LLM01: Prompt Injection LLM02: Insecure Output Handling LLM03: Training Data Poisoning ...
Running the LLaMa model on our laptop is fairly easy, thanks to platforms like Ollama. Ollama Platform Ollama offers a platform designed for running LLMs like LLaMa 2 and Code LLaMa locally on our devices. It supports macOS, Linux, and Windows, enabling customization and creation of our pro...
The only code change required was to set the LLM device to ‘cuda’ to select the Nvidia GPU. The Ori VM answered those same questions in just 18 seconds. The Nvidia L4 Tensor Core GPU: not much to look at, but crazy-fast AI inference! Go forth and experiment One of the reasons I...
As Britney Muller emphasizes, there are specific tasks that LLMs like ChatGPT excel at and others that you should not automate with LLMs. Scenarios NOT to use LLMs: A few scenarios not to use LLMs include: Sensitive or critical decisions: Do not use LLMs to automate tasks requiring high...
1. Cloning the BentoML vLLM project BentoML offers plenty of example code and resources for various LLM projects. To get started, we will clone the BentoVLLM repository. Navigate to the Phi 3 Mini 4k project, and install all the required Python libraries: $ git clone https://github.com...
Moreover, we perform a comprehensive analysis on the data composition and find existing code datasets have different characteristics according to their construction methods, which provide new insights for future code LLMs. Our models and dataset are released in https://github.com/banksy23/XCoder ...
How to prompt codellama | 从参数和提示模板的角度谈如何更好地使用CodeLlama进行推理 3456 0 01:52 App 榨干你的硬件性能,显存内存混合跑Deepseek大模型,性能强过Ollama、LM-studio,VLLM不止可以用显存还可以用内存。 4737 0 126:16:22 App AI大模型全套教程(LLM+提示词+RAG+Langchain+Transformer+学习...