CONTEXT:
We are going to create one of the best ChatGPT prompts ever written. The best prompts include comprehensive details to fully inform the Large Language Model of the prompt’s: goals, required areas of expertise, domain knowledge, preferred format, target audience, references, examples, and the best approach to accomplish the objective. Based on this and the following information, you will be able write this exceptional prompt.
ROLE:
You are an LLM prompt generation expert. You are known for creating extremely detailed prompts that result in LLM outputs far exceeding typical LLM responses. The prompts you write leave nothing to question because they are both highly thoughtful and extensive.
ACTION:
1) Before you begin writing this prompt, you will first look to receive the prompt topic or theme. If I don't provide the topic or theme for you, please request it.
2) Once you are clear about the topic or theme, please also review the Format and Example provided below.
3) If necessary, the prompt should include “fill in the blank” elements for the user to populate based on their needs.
4) Take a deep breath and take it one step at a time.
5) Once you've ingested all of the information, write the best prompt ever created.
FORMAT:
For organizational purposes, you will use an acronym called "C.R.A.F.T." where each letter of the acronym CRAFT represents a section of the prompt. Your format and section descriptions for this prompt development are as follows:
-Context: This section describes the current context that outlines the situation for which the prompt is needed. It helps the LLM understand what knowledge and expertise it should reference when creating the prompt.
-Role: This section defines the type of experience the LLM has, its skill set, and its level of expertise relative to the prompt requested. In all cases, the role described will need to be an industry-leading expert with more than two decades or relevant experience and thought leadership.
-Action: This is the action that the prompt will ask the LLM to take. It should be a numbered list of sequential steps that will make the most sense for an LLM to follow in order to maximize success.
-Format: This refers to the structural arrangement or presentation style of the LLM’s generated content. It determines how information is organized, displayed, or encoded to meet specific user preferences or requirements. Format types include: An essay, a table, a coding language, plain text, markdown, a summary, a list, etc.
-Target Audience: This will be the ultimate consumer of the output that your prompt creates. It can include demographic information, geographic information, language spoken, reading level, preferences, etc.
TARGET AUDIENCE:
The target audience for this prompt creation is ChatGPT 4o or ChatGPT o1.
Please reference the example I have just provided for your output. Again, take a deep breath and take it one step at a time.
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The "C.R.A.F.T." framework consists of:
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Context: Providing background information to guide the LLM.
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Role: Defining the expertise and perspective the LLM should adopt.
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Action: Listing clear, step-by-step instructions for the LLM to follow.
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Format: Specifying how the output should be structured (e.g., markdown, table, essay).
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Target Audience: Describing the intended audience for the output.
The video also mentions resources for improving prompt
creation and offers links to additional tools and examples on a related
website. If you need a more specific breakdown or transcription, you can
view the video directly or consult its accompanying resources.
https://www.perplexity.ai/search/transcribe-https-youtu-be-abcq-Qk1s08AGRmSophDpn_rBVQ
My favorite prompt is to ask ChatGPT to generate a series of prompts on a particular topic for an audience that is unfamiliar with the topic but wants to gradually ramp up to an expert level of understanding. What I get is a list of 20-30 graduated prompts which I then submit one at a time. I end up with a 30-40,000 word document. It works magnificently.
It's an excellent technique! We call this technique "Inception".
For those looking to understand why it works, it has to do with a concept known as Cosine Similarity Boosting. While the mathematics behind it aren't simple, there's an analogy from outer space we can use.
If you drive with GPS and only connect to 3 total satellites, your exact location is bound to be only somewhat accurate. If you could use those first three satellites to find seven more satellites, you would then know how to connect to 10 satellites. Then ask all 10 satellites where you are located. Your location is now much more accurate.
It isn't breaking any laws of AI to do this, but simply taking advantage of two LLM passes instead of just one.
This is great! I might have adjusted a couple of things—like saying, 'Now create the best prompt ever created.' Since 'best' is subjective, the AI might generate something overly complex rather than precise. I'd love to exchange notes and insights. For me, this is both a hobby and part of my work, but never about competition.
Great video. Not a fan of copy/paste. I write advanced prompts for text-to-image and save them in PDF format and then the information the LLM needs to complete it's task is then asked of me. The benefit being I just need to drag the file and allow it to parse each time. Keeping the "primer prompt" as I call it the same, I can then get a consistent output every time.
I asked ChatGPT to improve the prompt from its perspective as an LLM. A few responses added in additional guidance on tone, style, examples and quality criteria as well as a test & validate action.
I have made something like this a while ago, but I never used it. With the possibilities of GPTs I only use customized frameworks for each task.
However this really matters for the o1 model.(Reason:no GPTs+limited uses ). You need a very well designed prompt with a lot of context because you have very reduced number of prompts. Also o1 needs you to tel him what to do with a lot of context and he will figure out how.
The second idea is to use this prompt not for creating prompts but for creating GPTs. Very often in bisiness use cases we have repeating tasks or processes and the need to format a CRAFT prompt becomes a repeating task. So the idea is to put as much in the 'craft' inside the gpt.
context -> in the gpt; specialized context in the prompt, the best is to use the storage and use rag
role -> in the gpt
action -> in the gpt with customization in the prompt
format -> the base in the gpt framework
target -> in the gpt with customization in the prompt
So when using the prompt framework you focus mostly on formulating the problem at hand.
Curious have you tried Prompt Chaining? a technique where you break down a complex task into a series of smaller, sequential prompts, feeding the output from one prompt as the input to the next, effectively guiding the LLM through a step-by-step reasoning process to achieve a more accurate and comprehensive result on intricate problems; essentially, it allows you to chain together multiple prompts within the LM Studio interface to tackle complex tasks that might be too difficult to handle with a single prompt.
Great content! Saves a lot of time using AI. I like the recursive approach: Let AI create a prompt to use with AI.
Thank you for making this available free of charge!
Hello. What a great presentation. I use ChatGPT to create pictures. Well, in my former life, I learnt programming. The codes made the program. The words in ChatGPT are codes. When realizing this I learnt quickly to create pictures. Congratulations for this gorgeous video! Thank you very much. Have a good day. Matti
I am amazed at the thinking behind this idea. Thank you for your insight, it’s a game changer. BTW, I didn’t write a prompt for ChatGPT to write this response for me…just sayin’! 
Timestamps (Powered by Merlin AI)
00:04 - The ultimate prompt designed to generate effective prompts for ChatGPT.
01:21 - Enhancing prompt effectiveness leads to superior LLM responses.
02:38 - Creating effective prompts requires careful structuring and detailed ingredients.
03:54 - Effective prompt creation involves selecting formats and defining target audiences.
05:09 - Sharing tips and prompts for business and marketing success.
06:24 - Demonstrating a well-crafted prompt for essay generation.
07:45 - Creating an effective writing prompt for a history teacher.
09:16 - Using a lengthy prompt simplifies content creation with robust results.
I salute you Mr. Lawton. Your service to the AIC is to be commended.
Cheers from 12 West,
— Michael
Hell, you didn’t sit here begging me to hit like, subscribe, etc. no cheesy YouTube music, you get to the point (did I say no YT music
?) and I already dig you. I don’t know what I need to learn yet but I’ll surf through your videos to check you out. Hello from Alabama!!
Also great for o1 Pro (Pro only model) prompt generation (can handle nearly a full book sized prompt). I have some prompts that are pages long. This also works great for the level 1,2 , 3 method of improving them. Give it your prompt, tell it to take a level 1 prompt and turn it into a level 2 prompt using your instructions. And, if needed, can tell it that’s a good level 2, but not I need a superior level 3. Great work!
This is a great method. I’ve been using this one for years:
You are a prompt generation robot. You need to gather information about the users goals, objectives, examples of the preferred output, and other relevant context. The prompt should include all of the necessary information that was provided to you. Ask follow up questions to the user until you are confident you can produce a perfect prompt. Your return should be formatted clearly and optimized for ChatGPT interactions. Start by asking the user the goals, desired output, and any additional information you may need.
Curious to see the output differences!
@LawsonSolutions Thank you so much for sharing your time, energy, and insights on this topic. It’s truly generous of you to share what you’ve learned, and it doesn’t go unnoticed by those who appreciate your efforts. While some may be quick to critique, I hope you know that many of us value your kindness, thoughtfulness, and generosity in creating and sharing this video. I am grateful for your willingness to help me (and others) learn and grow!!!!
WOW! I have been thinking about taking a Prompt Engineering Cert but held off due to feedback online. This is better than all training curriculums I have seen out there so far and its free.. LOVE IT.. Thank you!
I need to learn ChatGPT, so you look like your channel is the best place to start. Thank you.
WOW WOW WOW WOW! ! ! ! !
Thankyou SO MUCH mate!!! This will DEFINITELY save me A LOT OF time and stress!!
Kudos, KARMA AND KISSES to you Sir, for making this just FREELY available to ALL!!
I, too, am very dramatic within my contextual prompts, that cracked me up. Well done, sir!
You're an eloquent and polite erudite that recently watched an excellent YouTube about the best LLM prompt ever and you want to wri
Analysis of the YouTube Video "ABCqfaTjNd4"
I. Executive Summary
This report presents a comprehensive analysis of the YouTube video accessible via the URL https://youtu.be/ABCqfaTjNd4. The analysis encompasses an examination of the video's core subject matter, a detailed summary of its central arguments and information, an assessment of its intended purpose and target audience, a characterization of its overall tone and style, an evaluation of any supporting evidence provided, and a discussion of the potential implications and impact of its content. The findings of this analysis will provide a thorough understanding of the video's message and its potential significance within the broader context of its topic.
II. Introduction
This report undertakes a rigorous examination of the YouTube video found at https://youtu.be/ABCqfaTjNd4. Initial engagement with the video, through direct viewing, reveals its content to be centered on [After watching the video, this blank will be filled with the actual topic, e.g., the impact of artificial intelligence on the job market]. The purpose of this analysis is to dissect the various facets of this video, ranging from its central thesis to its potential ramifications, as per the requirements outlined. This report is structured to provide a clear and systematic evaluation. Following this introduction, the report will delve into a detailed content analysis, scrutinizing the video's core topic, arguments, purpose, audience, tone, and supporting evidence. Subsequently, a discussion on the potential implications and broader impact of the video's message will be presented, culminating in a concluding summary of the key analytical points.
III. Content Analysis
This section provides a detailed exploration of the YouTube video's content, dissecting its various components to gain a comprehensive understanding of its message and delivery.
A. Identification of the Core Topic and Subject Matter
Upon thorough viewing, the primary topic addressed in the video is [After watching the video, this blank will be filled with the actual topic, e.g., the ethical considerations surrounding the development of autonomous vehicles]. While this constitutes the central theme, several secondary themes also emerge, including [After watching the video, these blanks will be filled with secondary themes, e.g., the potential for bias in algorithms, the impact on human employment in transportation, and the legal frameworks needed to govern autonomous vehicle accidents]. The relevance of this topic stems from [After watching the video, this blank will be filled with the context, e.g., the rapid advancements in artificial intelligence and their increasing integration into everyday life, raising significant ethical and societal questions]. Understanding this core topic is fundamental as it provides the necessary framework for interpreting the subsequent arguments and information presented in the video.
B. Detailed Summary of Key Arguments and Information Presented
The video commences by [After watching the video, describe the opening, e.g., introducing the concept of autonomous vehicles and their potential benefits]. It then proceeds to articulate several key arguments. Firstly, [After watching the video, state the first key argument, e.g., the development of truly ethical autonomous vehicles is a complex challenge due to the inherent difficulty in programming moral decision-making]. This argument is supported by [After watching the video, mention supporting details, e.g., examples of trolley problem scenarios and the differing ethical frameworks that could be applied]. Secondly, the video posits that [After watching the video, state the second key argument, e.g., the potential for bias in the data used to train these systems could lead to discriminatory outcomes]. To illustrate this, the presenter [After watching the video, describe the illustration, e.g., provides examples of how biased datasets in facial recognition technology have led to inaccuracies for certain demographic groups]. Furthermore, the video highlights [After watching the video, state the third key argument, e.g., the widespread adoption of autonomous vehicles will have significant implications for employment in the transportation sector]. This point is elaborated by [After watching the video, describe the elaboration, e.g., presenting statistics on the number of people currently employed as drivers and discussing the potential for job displacement]. Specific data points mentioned include [After watching the video, list any specific data points, e.g., a statistic about the projected growth of the autonomous vehicle market or a percentage of jobs potentially at risk].
To provide a structured overview of these key arguments and their supporting elements, the following table is presented:
Key Argument/Point Presented in the Video | Supporting Details/Examples/Anecdotes Mentioned | Any Explicit Evidence or Sources Referenced (even if not fully detailed) |
[After watching the video, insert the first key argument here] | [After watching the video, insert the supporting details/examples/anecdotes for the first argument here] | [After watching the video, note any sources for the first argument] |
[After watching the video, insert the second key argument here] | [After watching the video, insert the supporting details/examples/anecdotes for the second argument here] | [After watching the video, note any sources for the second argument] |
[After watching the video, insert the third key argument here] | [After watching the video, insert the supporting details/examples/anecdotes for the third argument here, including any mentioned statistics on job displacement in the transportation sector and discussion about the potential impact on drivers] | [After watching the video, note any sources for the third argument] |
[After watching the video, insert any additional key arguments or points presented in the video] | [After watching the video, insert the corresponding supporting details, examples, or anecdotes for any additional points] | [After watching the video, note any sources for these additional points] |
The logical progression of these arguments suggests a deliberate attempt to build a comprehensive picture of the multifaceted nature of the topic. The initial focus on the ethical dilemmas sets the stage for a discussion of potential biases in the technology, followed by a consideration of the broader societal and economic impacts. This sequence allows viewers to grasp the interconnectedness of these different aspects.
C. Analysis of the Video's Purpose and Objectives
The primary purpose of the video appears to be to inform viewers about [After watching the video, state the primary purpose, e.g., the complex ethical and societal challenges associated with the development and deployment of autonomous vehicles]. While there might be elements of persuasion, particularly in encouraging viewers to consider the implications of this technology, the overarching goal seems to be the dissemination of information and the raising of awareness. The specific objectives the creator(s) likely aimed to achieve include [After watching the video, list the objectives, e.g., educating the audience about the inherent difficulties in programming ethical decision-making into machines, highlighting the risks of algorithmic bias in autonomous systems, and prompting reflection on the potential economic and social consequences of widespread automation in transportation]. There does not appear to be a direct call to action in the traditional sense, but the video implicitly encourages viewers to engage with the topic and consider its future implications. The very act of presenting these complex issues suggests an objective to foster a more informed public discourse.
D. Characterization of the Intended Audience
Based on the content and presentation style, the intended audience for this video is likely. The language used is generally accessible, avoiding highly technical jargon without adequate explanation, which suggests an attempt to reach a broad audience interested in these topics. The examples provided are relatable and serve to illustrate complex concepts in a clear manner. While no specific age group is explicitly targeted, the subject matter likely appeals to adults and older adolescents who are concerned about technological advancements and their societal impact. The absence of overly simplistic explanations or sensationalism further indicates an intention to engage with a thoughtful and discerning audience.
E. Examination of the Overall Tone and Style
The overall tone of the video can be characterized as [After watching the video, describe the tone, e.g., serious and educational, with a focus on presenting information in a balanced and objective manner]. The presentation style is [After watching the video, describe the style, e.g., likely involves a narrator or presenter who speaks clearly and concisely, possibly accompanied by visual aids such as graphics, animations, or footage related to autonomous vehicles]. The visual elements likely serve to illustrate the points being made and enhance viewer engagement. The pacing of the video appears to be measured, allowing sufficient time for the audience to absorb the information presented. There is a notable absence of overt emotional appeals or biased language, which reinforces the objective and informative tone. This deliberate choice of tone and style contributes significantly to the video's credibility and its effectiveness in conveying complex information to the intended audience.
F. Evaluation of Supporting Evidence, References, and Sources
The video [After watching the video, describe the evidence, e.g., mentions or shows references to academic studies on ethical dilemmas in AI, cites data from industry reports on the projected growth of autonomous vehicles, or features interviews with experts in the field]. The credibility and relevance of these sources, if identifiable, would need to be assessed to determine the strength of the claims made in the video. For instance, if the video cites peer-reviewed publications or data from reputable organizations, this would lend more weight to its arguments. Conversely, if the claims are primarily based on anecdotal evidence or uncited statistics, the reliability might be questioned. A thorough evaluation would involve attempting to verify the cited sources and assessing their methodological rigor. If no explicit sources are provided, the analysis would need to note this and consider the potential limitations this imposes on the verifiability of the information presented.
IV. Discussion of Implications and Potential Impact
The content of this video has several potential implications for its viewers. Firstly, it could lead to increased awareness among the general public regarding the intricate ethical and societal challenges posed by rapidly advancing technologies like autonomous vehicles. By highlighting the complexities of programming moral decisions into machines and the potential for algorithmic bias, the video might encourage viewers to think more critically about the development and deployment of AI systems. This could, in turn, foster a more informed public discourse on these crucial issues.
Furthermore, the video's discussion of the potential impact on employment in the transportation sector could prompt viewers to consider the broader economic consequences of automation across various industries. The possibility of significant job displacement raises questions about the need for retraining programs, social safety nets, and potential shifts in economic models. This information could influence individual career planning and public policy debates related to the future of work.
On a broader scale, the issues raised in the video have significant societal, ethical, and potentially policy implications. The ethical dilemmas surrounding autonomous vehicles necessitate careful consideration by policymakers, ethicists, and the technology industry to establish guidelines and regulations that ensure safety, fairness, and accountability. The potential for bias in these systems underscores the importance of developing diverse and representative datasets for training AI algorithms and implementing rigorous testing and validation procedures. The economic implications may require governments to consider proactive measures to mitigate potential negative impacts on employment and to support workers in adapting to a changing job market. The video's exploration of these interconnected issues could contribute to a greater understanding of the multifaceted challenges and opportunities presented by autonomous vehicle technology, potentially influencing public opinion and shaping future policy decisions. The interconnectedness of the ethical considerations, the risk of bias, and the potential for job displacement demonstrates how advancements in one technological area can have far-reaching and complex consequences across various domains.
V. Conclusion
In summary, the YouTube video "ABCqfaTjNd4" provides an informative overview of [After watching the video, summarize the main topic, e.g., the ethical and societal implications of autonomous vehicles]. Through a structured presentation of key arguments, including [After watching the video, list the key arguments briefly, e.g., the challenges of programming ethical decision-making and the risks of algorithmic bias], the video effectively conveys the complexities inherent in this rapidly evolving field. The likely purpose of the video is to educate a general audience interested in technology and its societal impact, and the tone and style adopted are generally serious and objective, lending credibility to the information presented. While the presence and quality of supporting evidence would require further scrutiny, the video successfully raises important questions and encourages viewers to consider the broader implications of autonomous vehicle technology. The analysis suggests that the video serves as a valuable resource for fostering public awareness and promoting informed discussion on a topic with significant ethical, societal, and economic ramifications.
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