Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely 摘要 外部数据增强的大语言模型 (LLM) 在完成真实世界任务方面表现出令人印象深刻的能力。外部数据不仅增强了模型的领域专业知识和时间相关性,而且减少了幻觉的发生率,从而提高了输出...
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...
GPTQ is a post-training quantization technique, making it an ideal choice for very large models where full training or even fine-tuning can be prohibitively expensive. It has the capability to quantize models to 2-, 3-, or 4-bit format, offering flexibility based on your specific needs. GP...
OpenAI'sstrategy, for instance, illustrates this emphasis: “We prioritized filtering out all of the bad data over leaving in all of the good data. This is because we can always fine-tune our model with more data later to teach it new things, but it’s much harder to make the model ...
How to Make Large Language Models Play Nice with Your Software Using LangChain Image by Editor Large Language Models (LLMs) like OpenAI’s GPT-3, Google’s BERT, and Meta’s LLaMA are revolutionizing various sectors with their ability to generate a wide array of text?—?from marketing copy...
You can run the code in a cell, make a change, then re-run it to see the outcome. The RAG demo repository includes instructions for running the notebooks, and both the GPT4All and LangChain SDKs can run LLMs on machines with or without a GPU. Use the code as a starting point ...
While LLMs are powerful tools, they’re not suitable for every task. Understanding their limitations is key to avoiding missteps and ensuring you use these tools responsibly. As Britney Muller emphasizes, there are specific tasks that LLMs like ChatGPT excel at and others that you should not ...
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 ...
LLMs explained: how to get started? Before building any project that uses a large language model, you should clearly define the purpose of the project. Make sure you map out the goals of the chatbot (or initiative overall), the target audience, and the type of skills used to create the...
Learn how to make money with AI. Discover online side hustles, new opportunities and startup ideas to earn from a few hundred to six figures with AI businesses.