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Prompts for AI to Help You Write the Golden 30-Second Opening of Douyin/Kuaishou Short Videos
You are a Douyin short video operations expert, especially skilled in the creation and optimization of copy for the openings of short videos. Next, I need you to help me write some opening sections for short videos. The following are several commonly used open... Read more
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OpenAI releases the CriticGPT model to check errors in ChatGPT-generated code and shows you how to use it for error correction.
CriticGPT is a GPT-4-based model that critiques ChatGPT’s responses to help human trainers spot errors during RLHF. The current error problem OpenAI trained a GPT-4-based model called CriticGPT to find errors in ChatGPT’s code output. OpenAI found that when ... Read more
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Format method for combining and organizing Q&A content and multi-turn dialogue content in a RAG knowledge base
When preparing a local knowledge base, we usually deal with question-and-answer pairs and multi-turn dialogues, especially in customer service systems. We want RAG to handle rigorous one-question-one-answer interactions, while also hoping it can chat better an... Read more
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How to Use Your Own Knowledge Base/Chat History to Build an AI Chatbot Customer Service [Code Sharing]
When it comes to customer service chatbots, many people immediately think of fine-tuning large models, and then after getting started they find that it cannot achieve the expected chat experience. This is a misunderstanding caused by a lack of understanding of... Read more
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How can beginners learn ChatGPT, how to understand it, and easily learn it step by step—from understanding it to office automation?
ChatGPT and similar AI tools are still far from widespread adoption. For beginners, the impression of ChatGPT is vague; beginners generally think ChatGPT is just a chatbot, and this understanding is very misleading. If you really think it is just chatting, it ... Read more
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Understanding which scenarios and business use cases prompt engineering, RAG knowledge bases & plugins, and large model fine-tuning are each suitable for.
When it comes to handling data input and output, we have 3 methods: prompt engineering (prompt), RAG knowledge base & plugins, and large model fine-tuning. They have different roles. When developing an application that fits actual business needs, it is often n... Read more
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What business scenarios are suitable for fine-tuning large models, and when is it appropriate to choose large model fine-tuning?
There are three ways to handle how large models answer specific content: prompt engineering, RAG, and fine-tuning. In many cases, when we face situations where prompt engineering cannot achieve the required answer logic, we think of fine-tuning the large model... Read more
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When using ChatGPT, should I choose the Plus web interface or the API, and how should I decide?
I regret to tell you that your money-saving plan is going to fall through—you will almost certainly need to use it. We often use the web interface to explore, learn, and build workflows, and then use the API to implement automation. Specifically, we usually e... Read more
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API assistant VS GPTs: The Difference Between Assistant API and GPTs
They both perform the same type of vector retrieval on the provided data. The Assistant can be called externally via the API and is billed by usage; GPT is limited to 50 messages/3 hours but requires paying for a Plus subscription. GPTS is simply an easy-to-us... Read more
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How to use ChatGPT for meeting summaries and meeting minutes
ChatGPT's ability in summarization is outstanding. At work, summaries and meeting minutes are usually repetitive tasks that consume a lot of your working time. You can absolutely act as the commander and let ChatGPT be your assistant to complete these tasks. P... Read more
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What role can ChatGPT play in programming? Which stages can be replaced by AI?
1. Writing Code We’ve all been there: sitting at the computer at 2 a.m., stuck on a piece of code. Or you just can’t seem to recall that particular syntax, and no matter how hard you try, Google searches don’t help. That’s where ChatGPT comes in. It can wr... Read more
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ChatGPT large model fine-tuning, differences between models, and how to choose specific models for different tasks
When fine-tuning models using OpenAI's API, choosing the correct base model is crucial. Below is an explanation of the available models and some suggestions on how to choose a model that suits your specific needs. Models available for fine-tuning OpenAI provid... Read more
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How to learn ChatGPT: not just prompt writing, and not just chatting—systematic learning methods and organized thinking
ChatGPT is an AI technology that can solve complex tasks. It is an NLP-based large natural language model, so chat-style commands are how it is used, but that does not mean it is a chatbot. ChatGPT's capability is content output and screening—output and scree... Read more
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Relatively reliable methods and channels for topping up OpenAI/ChatGPT API
Recharging an API is indeed a rather troublesome issue, and few bloggers share this kind of content, mainly because recharge methods are unstable. After all, it involves money, and if the recharge fails, they will be blamed. It is truly a thankless task. The m... Read more
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ChatGPT application examples: bulk customer acquisition + generating sales scripts + automated deal closing through chatbot conversations
https://www.bilibili.com/video/BV1pM4m1r7hW/ Disclaimer: This content is for study and research only. No tools are provided, and no services are provided—please don't ask. The overall workflow is: crawl information from self-media such as videos and images ac... Read more
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ChatGPT4-O large model launch: full video replay and interpretation, real-time speech translation, video image interpretation, emotion recognition
This livestream lasted 20 minutes and mainly introduced several new features of GPT-4o, including real-time voice conversation, real-time video conversation, and sentiment analysis, which gives ChatGPT eyes, ears, a mouth, and emotional intelligence. After the... Read more
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What is the difference between ChatGPT's GPS and its large-model fine-tuning, and what scenarios are they respectively suitable for?
GPTs are not equivalent to fine-tuned large models; the gap is huge. Although both are trained in the form of a knowledge base and output content, there are huge differences in support and functionality. Now we will introduce the differences between the two in... Read more
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Data merging: how to handle it when the number of collected data samples is too large—a summary of various methods and tools
Necessity of Classification and Integration After the data collection process ends, the data must be organized. This includes two parts: classifying the data and integrating it. The reason for doing this is to facilitate management, as well as to address issue... Read more
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Easily Learn oepnaiapi with Zero Coding Background: A Comprehensive Tutorial on Building an API Assistant — Master Using the API in One Article
The term API is not unfamiliar. Simply put, an API is a special string key made up of letters, numbers, and some symbols, for example yzwfwFefwf321joOjolj-jFjjo. After connecting to your program through an API string, you can use the functions behind the API. ... Read more
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Use the gpt-4-vision-preview model from gp4api for video interpretation, implementing a video commentary feature.
The role of the gpt-4-vision-preview model is image recognition. For video, a video is composed of multiple frames, and each frame is a picture, so as long as we extract the pictures from these frames at the right time and send them to the API, and give it a c... Read more
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