Large language models (LLMs) have the potential to revolutionize behavioral science by accelerating and improving the research cycle, from conceptualization to data analysis. Unlike closed-source solutions, open-source frameworks for LLMs can enable transparency, reproducibility, and adherence to data ...
Intro to Large Language Models: LLM Tutorial … Taking Generative AI and Vision AI to Production … Create Your Artistic Portrait with Multimodal… Exploring Foundation Models: The Pillars of AI … Techniques for Improving the Effectiveness of RAG… ...
First, we'll discuss what a large language model (LLM) is and list some of the strengths and weaknesses of these models, looking at a handful of models and approaches. We'll explain the difference between pre-training and fine-tuning. We'll discuss Input processing by showing ...
该视频为NLPCC2024的Tutorial报告,报告题目:Research and Challenges of Multilingual Large Language Models,报告人:南京大学自然语言处理组黄书剑教授、朱文昊博士生,报告时间:2024年11月1日。该报告由香港理工大学李菁和华南理工大学蔡毅两位老师主持。slides链接:https://github.com/NJUNLP/tutorial_multilingual_LLM。
FairnessinLargeLanguageModelsinThreeHoursThangVietDoanZichongWangNhatNguyenMinhHoangWenbinZhang1Thistutorialisgroundedinoursurveysandestablishedbenchmarks,allavailableasopen-sourceresources:/LavinWong/Fairness-in-Large-Language-Model2WARNING:Thefollowingslidescontainsexamplesofmodelbiasand...
With the rise of Large Language Models and their impressive capabilities, many fancy applications are being built on top of giant LLM providers like OpenAI and Anthropic. The myth behind such applications is the RAG framework, which has been thoroughly explained in the following arti...
Prompt 长度、Prompt 初始化带来的影响随着模型参数的增大逐渐消失 The Power of Scale for Parameter-Efficient Prompt Tuning Q&A 参考 Tutorial:大规模预训练技术实战 GitHub - openai/gpt-3: GPT-3: Language Models are Few-Shot Learners 本文使用Zhihu On VSCode创作并发布...
2.这种类别上限更高,更好地融入统一模型 GitHub - BradyFU/Awesome-Multimodal-Large-Language-Models: :sparkles::sparkles:Latest Advances on Multimodal Large Language Models 比如Qwen2-VL:首先Vision encoder部分是初始化了一个DFN(Data Filtering Networks),QwenLM Decoder部分是一个Qwen的语言模型。视觉...
To unpack this analogy, we must first consider the roles within an Oxford Tutorial and how they relate to our interaction with large language models. In this framework, the LLM itself can be seen as analogous to the first student in a tutorial. Like the primary presenter, the LLM provides ...
In this tutorial, we’ll take a look at how to get started with Ollama to run large language models locally. So let’s get right into the steps! Step 1: Download Ollama to Get Started As a first step, you should download Ollama to your machine. Ollama is supported on all major ...