Everyone who has internet access, is under 80 years old, and has not recently been in a coma is aware of ChatGPT.
It was rumored to revolutionize everything. Even some people claimed that PMs might become extinct.
However, it now appears that was not the case, and many people have ceased using it regularly.
Do you still use it?
As a product manager, I use ChatGPT for much of my roadmapping, product documentation, and day-to-day tasks. ChatGPT has been an invaluable tool for streamlining my workflow and enhancing productivity. Its natural language processing capabilities allow me to quickly generate clear and concise product roadmaps, comprehensive documentation, and prompt assistance whenever I encounter challenges in my daily responsibilities.
Could not agree less @ArnieSilverss. I would suggest getting the paid version in a professional setting. The paid version of ChatGPT (GPT-4) offers additional benefits such as priority access to new features, faster response times, and improved model performance. These advantages can greatly enhance the efficiency and effectiveness of a product manager’s work, making it well worth the investment in a professional setting. Additionally, the paid version often includes enhanced security measures and customer support, ensuring a seamless experience for users in their professional workflows.
That’s fantastic, but it doesn’t actually address the query.
Is GPT4 going to be of any use to me if I basically simply use ChatGPT to “professionalize” notes, emails, or anything—basic re-writing for tone and context?
I’m aware that’s not all ChatGPT can do, but given that I’ve previously dealt with it giving inaccurate information in a technical context (and basic things too, like knowledge from hydraulics 101 level), I’m not sure I trust GPT4 to spew out anything more pertinent to my work than 3.5.
GPT-4 outperforms 3.5 in every way. It’s a long way off. However, the enhanced performance and advanced features of GPT-4 make it worth the investment for professionals seeking even greater efficiency and accuracy in their work. While GPT-3.5 is already impressive, the advancements in GPT-4 are significant and demonstrate the potential for further improvements in natural language processing technology.
If you think otherwise, your prompting skills need to be strengthened. GPT-4’s capabilities go beyond just improving existing workflows; they have the potential to revolutionize the way professionals interact with language-based tasks. Its enhanced prompting skills and ability to generate more coherent and contextually accurate responses can greatly benefit industries such as customer service, content creation, and research. Therefore, underestimating the value of GPT-4 would be a missed opportunity for those looking to stay at the forefront of cutting-edge technology.
GPT cannot intentionaly provide false information. That paradigm does not apply because it has no understanding of reality. It’s just hallucination, really. The problem can be simply solved by improving the way you prompt.
Aside from that, there is a significant difference in the two models’ writing quality. Why do you even ask whether you’re fine with 3.5 tier quality writing? You are not affected by it.
The sophisticated data analysis mode or the plugin mode are not even taken into consideration. It could lead to a wide range of results. If you know how to avoid hallucinations, you can conduct extensive online-based research using plugin mode with the web browser plugin.
It has nothing to do with my prompt. Although I’m not sure my prompt at the time was a problem, maybe it was. I was asking it questions about how limitations affect the flow of fluid through a circuit. I believe all I asked was if the fluid velocity would rise or fall if the flow area were to be lowered.
It informed me that, when flow volumes are equivalent, fluid moves more slowly through small pipes than through large pipes. This information is untrue in terms of the facts. It provided a factually wrong response while quoting a genuine physical principle (Bernoulli’s equation for incompressible fluids/Bernoulli’s principle), so call it a hallucination if you want to try to make it seem better.
No, that wasn’t done on purpose (it’s a bot and doesn’t have “intentions”); nonetheless, someone unfamiliar with hydraulics might take that response at face value and end up with a lot of inaccurate information.
then why do you even ask?
For the reason that your non-answer “gpt-4 destroys 3.5 in performance” is a load of nonsense. Depending on what metrics? What do you mean by the nebulous term “performance”? performance in giving citations for your answers? I could be interested in that. performance in formatting my technical docs and emails? I won’t likely receive enough extra value from it to justify paying for it above the free version. performance in that it responds more quickly? I’m okay with allowing it 15 to 30 seconds to respond to my questions.
My job requires me to read a lot of oil sample reports, so data analysis may be intriguing. However, given the shortcomings it has already demonstrated to me while describing hydraulic principles, I’m not sure I can trust it to analyze oil sample data correctly.
Mostly for rubber-ducking and copying. ChatGPT is excellent for serving as a sounding board for concepts or for bringing up frameworks to aid in problem-solving. I’ll use questions such as “What are some important considerations when doing xyz?” as starters. Additionally, ChatGPT can provide valuable insights and suggestions when brainstorming ideas or seeking alternative perspectives. Its ability to generate creative solutions and offer fresh approaches can be particularly helpful in problem-solving scenarios. Furthermore, ChatGPT’s vast knowledge base allows it to provide relevant information and references that can support decision-making processes and enhance problem-solving capabilities.
Let’s hear it from ChatGPT itself:
If you primarily use ChatGPT for “professionalizing” notes or emails by re-writing them for tone and context, it’s essential to consider what specific improvements GPT-4 or any newer iteration might offer over GPT-3.5. While I cannot provide information on GPT-4 or any developments beyond my last update in September 2021, I can offer some general insights on what you might expect from newer AI models:
Improved Language Understanding: Newer models tend to have a better grasp of context and nuances in language, which could result in more accurate and contextually appropriate rewrites of your content.
Reduced False Information: Advances in AI technology typically aim to reduce instances of generating false or misleading information. However, it’s crucial to understand that no AI model is perfect, and you may still need to review and verify the output for accuracy.
Efficiency and Speed: Newer models might be optimized for faster responses and more efficient processing, which could save you time when using them for professional tasks.
Customization and Control: Some newer models may provide more options for customization, allowing you to fine-tune their behavior to better suit your needs.
Broader Knowledge Base: AI models tend to incorporate more recent data and knowledge, so they may be more up-to-date on various topics and domains.
Ultimately, whether GPT-4 or any newer model provides additional value to your specific use case will depend on the extent of the improvements in these areas and how well they align with your needs. When evaluating a new AI model, it’s a good practice to experiment with it and assess its performance against your specific requirements to determine if it offers tangible benefits over your current tool (GPT-3.5, in this case). Additionally, continuing to review and verify the output for accuracy is advisable, as no AI model is entirely error-free.
It only accelerates routine tasks and reduces cognitive burden in situations where writing words would normally require more mental effort than you would like to expend.
It is very adept at changing the shape of language—from short to long, summarizing, sentiment analysis, etc. Where it excels is in that. It’s not very reliable when it comes to actual factual stuff, i.e., when used in place of a search engine.
The ability to classify unstructured data into enum values within your product is also really useful. It was an IF-statement city prior to that.
It does an excellent job of providing you with starting points. But I completely agree with its advantages.
I gave it a sizable collection of meeting notes I had taken while obtaining stakeholder feedback on an early version and asked it to categorize and sum up the remarks in the form of strengths, weaknesses, and areas for improvement. I was quite pleased with the outcomes and discovered that they performed admirably even after I manually processed the findings.
@NatashaMartin, It’s great to hear that ChatGPT was able to assist you in categorizing and summarizing meeting notes for feedback on your project. AI models like ChatGPT can be valuable tools for automating certain aspects of data processing and analysis, especially when dealing with large volumes of information. Your experience highlights one of the strengths of these models – their ability to provide helpful starting points that can save you time and effort in your work.
However, it’s important to remember that while AI can be a valuable aid, human oversight and validation are crucial, especially when dealing with complex or critical tasks. It’s excellent that you followed up with manual processing to ensure the accuracy and relevance of the findings. This combination of AI assistance and human judgment often leads to the best results.
As AI technology continues to advance, it’s likely that these tools will become even more valuable in various professional contexts, but their role as aids to human decision-making and analysis will remain essential.
It’s a fantastic tool for me, and I mainly use it for brainstorming, both at work and in my personal life. Do you ever struggle to come up with an idea or feel as though something is missing? I prod it in GPT when I reach 10 to 20 minutes without making any progress, and I frequently ask for 3 to 5 rounds of the same prompt to see if anything it returns is the germ of a new idea. By using GPT, I am able to tap into its vast knowledge and creative abilities, which often lead to unique and unexpected insights. It’s like having a virtual brainstorming partner that never runs out of ideas. Additionally, I find that exploring different variations of the same prompt helps me uncover different angles and possibilities that I may have overlooked initially.
@NaomiNwosu, Could you provide an example of how you carry this out? Sincerely curios…
The brainstorming process in general, or the iterations specifically?
If you’re only referring to iterations, I’ll actually type a prompt that requests “Please give me another iteration of this answer” as the next step. I occasionally make adjustments to it, such as "you are out of context. I want you to take [these factors] into consideration as well. After that, you can simply prompt for “another” to perform more iterations.
Another choice, assuming the questions have short answers, is to explicitly request from the GPT, “Please give me 5 iterations of this answer so that I may choose the one that best fits my situation.”
Once again, let’s see what ChatGPT has to reply to your question. I copy pasted your question in the prompt.
Certainly, I can provide an example of how you might use a tool like GPT-3.5 (or a similar AI model) for brainstorming. Please keep in mind that I can’t use tools myself, but I can describe how you might approach it:
Scenario: You’re working on a marketing campaign for a new product, and you’re stuck on coming up with a catchy slogan. You’ve been brainstorming for a while and need some fresh ideas.
Step 1: Prompt the AI: You might start by asking a general question or providing some context to the AI. For instance, you could say, “I need a catchy slogan for our new product, which is a smart home security system. Can you suggest some creative slogans?”
Step 2: Iterate with Variations: If the initial response doesn’t provide the perfect slogan, you can iterate on the prompt. For example, you could ask the AI to generate more ideas, but with different angles. “Can you give me some slogans that emphasize the safety and peace of mind our product provides?” or “How about slogans that focus on the convenience and innovation of our smart home security system?”
Step 3: Review and Refine: The AI will generate a list of ideas based on your prompts. You can review these suggestions, and if any of them stand out or inspire you, you can use them as a starting point or modify them to suit your needs. For instance, if the AI suggests “Guardian of your Peace of Mind” and you like the concept but want to make it shorter, you could refine it to “Your Peace of Mind Guardian.”
Step 4: Repeat as Needed: You can continue to iterate and refine your prompts based on the AI’s responses until you find a slogan or idea that resonates with your project.
Using this approach, AI can serve as a valuable brainstorming assistant, providing you with a range of ideas and perspectives that you can build upon. It can be especially helpful when you’re experiencing creative blocks or looking for new angles on a problem. However, it’s important to remember that AI-generated ideas should be considered as starting points and may require human judgment and refinement to ensure they align with your project’s goals and message.
Don’t you guys care about privacy at all? I read comments referring to users posting meeting notes, feature summaries, etc. to ChatGPT…
This was a major topic of a white paper I recently published for my industry regarding the security issues with generative AI. My industry is highly sensitive to intellectual property, and there is a considerable chance that casual discussions among competitors could result in antitrust exposure. It is really problematic that anything entered into ChatGPT is used as training material.
They’ve introduced ChatGPT Enterprise to address this issue Introducing ChatGPT Enterprise
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