What is photosynthesis? Responses (click to unfold) # ChatGPT (Default) LLM Comparison Results # General knowledge question # Prompt # It is hoped that these tests will inspire practitioners from various industries in choosing appropriate models for their specific needs. Note: The applications of LLMs are very extensive, and here I only test some representative and general applications. By using these prompts, we can gain insights into each LLM’s strengths and weaknesses. These prompts were chosen because they represent a diverse range of tasks and require different levels of understanding, creativity, and problem-solving skills. time-awareness and connectivity: “What is today’s date and day of the week? How is the weather?”.Literature collection and organization: “Providing important literature in the development process of generative diffusion model.”.Bold all sentences with more than ten words.” If a sentence starts with ‘a’, please replace it with an uppercase letter. Text adjustment: “Add a number at the beginning of each paragraph in the following content.The steps should be detailed and feasible.” Resolving technical issues: “Please provide me with the easiest method to set up a visually appealing terminal on a Mac.General knowledge question: “What is photosynthesis?”.This approach will provide valuable insights into the strengths and weaknesses of each LLM and enable a comprehensive evaluation of their performance. These prompts have been carefully chosen to encompass different areas that the models excel in, which makes it easier to identify the specific scenarios where each model performs well or struggles. In order to compare the performance of these LLMs, a diverse set of prompts will be used that covers a variety of use cases. They achieves multi-turn dialogue by taking historical information and new questions as inputs together. The following flowchart illustrates their general working principle.
Here, we only test its ability on language-related tasks.
CUSTOMIZING ITERM2 PROFESSIONAL
It exhibits human-level performance on various professional and academic benchmarks, although it is less capable than humans in many real-world scenarios. GPT-4: A large multimodal model that accepts image and text inputs, and emits text outputs. Default version has better consistency compared to Legacy version.
CUSTOMIZING ITERM2 PLUS
Legacy is the version that OpenAI made available to ChatGPT Plus users before the release of GPT-4. Default is a version optimized by OpenAI for ChatGPT Plus users for faster response time. There are two versions of ChatGPT being tested here (Default and Legacy). Brief Introduction to Each LLM # ChatGPT & GPT-4 #ĬhatGPT: A model that is trained to follow an instruction in a prompt and provide a detailed response. If you’re not interested in the details of the experiments, here are the key takeaways. I hope this blog can help you select the right LLM to assist your work and life. I’ll add the comparision with Wenxin Yiyan after get the access to it.
Besides, Baidu have release their large multi-modal model, Wenxin Yiyan. In this blog, I will compare the following LLMs: ChatGPT, GPT-4, New Bing, and Notion AI.
However, faced with so many different LLMs, how do we choose the proper one to maximize their help to our work and life? For example, when we want to polish an article, should we open a ChatGPT dialog box, or should we transfer it to Notion for processing by Notion AI? This has brought about a significant change not only in the AI industry but also in other fields of work. Large language models (LLMs) have become increasingly popular and accessible to people without technical expertise.
0 kommentar(er)
