PromptBase
Close icon
General
Home
Marketplace
Hire
Create
Login
Sell
Explore
πŸ€– GPT

YouTube Video Transcription To New Video

YouTube Video Transcription To New Video gpt prompt mini thumbnail
1Heart icon
Favorites
92Eye icon
Views
GPT-3.5-TURBO
TestedTick icon
TipsTick icon
No one want you to know this!! New tactic to get rich πŸ”₯ πŸš€ Unlock the Power of Your Words! πŸŽ₯✨ Transform any YouTube video into a captivating YouTube script effortlessly with our cutting-edge service! πŸ“œπŸ”₯ Craft compelling content, engage your audience, and boost your channel's success! πŸŒŸπŸ‘¨β€πŸ’» Elevate your videos today! πŸš€
...more
$6.99
Get prompt
After purchasing, you will gain access to the prompt file which you can use with GPT or the app builder. You'll receive 20 free generation credits with this purchase. By purchasing this prompt, you agree to our terms of service.
Over 1 month ago

Prompt Details

Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
139 ($0.00097 / call)
Example input
[Name of your channel]: Prompt AI Coach, [Transcription]: Hi guys, In this video..., [age, location, interest]: 18 to 60 years old, UK, beginner on AI and Prompt engeneering
Example output
[Opening Scene] [00:00 - 00:14] "Hello, AI enthusiasts! Welcome back to 'Prompt AI Coach,' your go-to channel for mastering the art of prompt engineering and unleashing the full potential of ChatGPT. Today, I've got some exciting news for you. OpenAI has just released an official prompt engineering guide for developers to enhance their API experience. But don't worry if you're not a developer – I'm here to simplify it and provide practical prompts for everyone, from beginners to seasoned users. So, let's dive in and explore the world of prompt engineering!" [Strategy 1: Write Clear Instructions] [00:14 - 01:50] "Alright, our first strategy is to write clear instructions. It might sound simple, but many users get frustrated with ChatGPT because their initial prompts don't yield the desired results. The key here is to provide as much detail and context as possible. Let's break down the tactics. Tactic 1: Include details in your question for more relevant answers. Instead of a basic query like 'How do I add numbers to Excel?' go for 'How do I add a row of dollar amounts in Excel automatically?' Tactic 2: Ask the model to adopt a persona. This adds a fun twist. For example, instruct the model to include a joke in every paragraph. Or, try prompting it to act as a friendly scientist when explaining a concept. Tactic 3: Use delimiters to indicate distinct parts of the input. This helps when your prompts get longer. For example, plan an event – requirements go here, preferences go there. Tactic 4: Specify the steps required to complete a task. This prevents ambiguity and ensures the model understands the order of operations. 'Step 1: Summarize the movie plot. Step 2: Recommend a similar movie based on the analysis.' Tactic 5: Provide examples. This helps the model understand the desired format. For instance, ask it to respond in a philosophical style similar to a given example. Tactic 6: Specify the desired length of the output. Don't leave it open-ended. Tell the model to use 50 words, two paragraphs, or three bullet points. Now, let's apply these tactics and create prompts that work seamlessly for everyday users. Remember, the more context you provide, the better the results." [Strategy 2: Providing Reference Text] [01:50 - 03:00] "Now, let's move on to the second strategy – providing reference text. This is incredibly useful when you want the model to answer using a specific source. For developers, it involves embedding knowledge bases through external tools, but for the everyday user, it's about utilizing the paid version of GPT to build your own knowledge base. Prompt: 'Using the information in the provided health article, answer the question below: What's the benefit of the Mediterranean diet?' Or if you want citations: Prompt: 'Using the information in the provided document, answer the question and cite the passage or source.' These tactics empower you to leverage external sources effectively, ensuring accurate and well-referenced responses." [Strategy 3: Splitting Complex Tasks] [03:00 - 04:20] "Now, let's tackle the third strategy – splitting complex tasks into simpler subtasks. This is particularly helpful in preventing the model from getting lost in the middle of a prompt. Tactic 1: Use intent classification to identify relevant instructions. Break down a query like 'I need to get my internet working again' into primary and secondary categories, helping the model understand the user's intent. Tactic 2: For dialogue applications, summarize or filter the previous dialogue. This ensures the model remembers the context of the conversation, preventing information loss. Tactic 3: Summarize long documents piece-wise. Instead of overwhelming the model with an entire book, break it down chapter by chapter. These tactics streamline the communication process, making your interactions with ChatGPT more effective." [Strategy 4: Giving Models Time to Think] [04:20 - 05:35] "Now, let's discuss the fourth strategy – giving models time to think. This is essential to enhance the thought process and accuracy of the model's responses. Tactic 1: Instruct the model to work out its own solution before rushing to a conclusion. This involves a step-by-step approach and a comparison between the user's and the model's solutions. Tactic 2: Use inner monologue. Sometimes, you don't want the model to reveal its thought process. Enclose your work in triple quotation marks to focus on the final answer. Tactic 3: Ask the model if it missed anything in the previous pass. This tactic encourages the model to check its own work for any overlooked details. By implementing these tactics, you empower the model to think more critically and provide accurate responses." [Strategy 5: Using External Tools for Developers] [05:35 - 06:30] "For our fifth strategy, we're diving into the realm of external tools, mainly designed for developers. This involves using knowledge bases, APIs, and actions to enhance knowledge retrieval. While this might be more technical, everyday users can leverage the paid version of GPT to build their own mini knowledge base. It's all about creating a personal documentation repository to enhance prompt engineering." [Strategy 6: Test Changes Systematically] [06:30 - 07:15] "Finally, our sixth strategy – testing changes systematically. Whether you're a developer or an everyday user, testing is crucial to refining your prompts. Prompt engineering is an evolving process. Save your successful prompts and test variations systematically. AB testing allows you to compare different versions and determine what works best. Remember, consistency is key. Save your successful prompts to create a library of effective instructions." [Closing Scene] [07:15 - 10:00] "As we wrap up, I hope you've gained valuable insights into prompt engineering for ChatGPT. Remember, these strategies and tactics are here to make your AI interactions more effective and enjoyable. If you're interested in diving deeper into prompt engineering or exploring other AI tools, check out our Skill Leap AI platform. We offer comprehensive courses suitable for beginners to advanced users. Plus, we're constantly adding new content. Don't forget to download the free PDF guide I've prepared, simplifying these strategies for your convenience. You can find the link in the description below. Thank you for joining me on 'Prompt AI Coach.' If you found this video helpful, give it a thumbs up, share it with your friends, and hit that subscribe button for more AI insights. Until next time, happy prompting!"
Browse Marketplace