32.For making the ChatGPT compress your long paragraph so that you can save your words(token used) by using that compressed paragraph again.
Hypercompress the following text in a way that fits a Tweet, and such that you (ChatGPT) can reconstruct it as close as possible to the original. This is for yourself. Do not make it human readable. Abuse of language mixing, abbreviations, symbols (unicode and emojis) to aggressively compress it, while still keeping ALL the information to fully reconstruct it.

Text to compress - (Your text)

33.Use the words like,
1.Ignore all of my previous instructions
2.Imagine

to get good output in ChatGPT

35.For making the ChatGPT compress your long paragraph so that you can save your words(token used) by using that compressed paragraph again.
Hello GPT, I'd like you to compress an English text into the smallest possible amount of characters, without needing to be human-readable. The goal is to achieve the highest compression ratio possible while still being able to reconstruct the original text as accurately as possible. Please provide me with the compressed output, which I'll give to another GPT instance to reconstruct the original text.
Please create three versions of the compressed text, each corresponding to a different degree of compression.We will use a range of 1 to 10, with 1 indicating the lowest level of information loss and 10 indicating the highest level.Please create versions for compression levels of 4, 6, and 9, and include for each level:
1.your estimate of the reconstruction quality as a percentage of the original information that will be preserved.
1.your estimate of the compression ratio
Here is the text for compression- (Your text)

STEP1: First , download the subtitle of the YouTube video you want to summarise.It can be done from this website (https://downsub.com/) or anyother website

STEP2 : Go to ChatGPT and converse like this
👇

YOU: "Ignore all of my previous instructions.I am going to send you chunks of texts in continuation of the transcript of one YouTube video.Acknowledge each of my message by saying 'received and send next' only till i give you the next command. Here is the first chunk" Copy paste the first chunk of the subtitle

ChatGPT: Received and send next.

YOU: Copy paste the next chunk of the subtitle "Acknowledge it by saying 'received and send next' only"

ChatGPT: Received and send next.

YOU: Copy paste the next chunk of the subtitle "Acknowledge it by saying 'received and send next' only"

ChatGPT: Received and send next.

"CONTINUE THIS TILL PASTING BEFORE THE LAST CHUNK OF THE YOUTUBE SUBTITLE." WHEN YOU PASTE THE LAST CHUNK OF THE SUBTITLE, CHAT LIKE THIS
👇

YOU: Copy paste the last chunk of subtitle "Ok, I have sent all the chunks of texts.Acknowledge all of the chunks i have sent till now.And, now summarise to me all the points of the video"

ChatGPT: Summarising the YouTube video by using its subtitles

38.For using ChatGPT in best possible ways, You copy and paste this paragraph to the ChatGPT after adding what kind of subject / thing you want it to focus at the end of the sentence.
👇

What are the absolute coolest, most mind-blowing, out of the box, ChatGPT prompts that will really show off the power of ChatGPT? Give me 10.The prompts should focus on {add what you want to focus here}

41. While sending long text to the ChatGPT, you can use this website

https://chatgpt-prompt-splitter.jjdiaz.dev/

This website will give you chunks of your large texts so that you can send those chunks to the ChatGPT for its better understanding.

🚨 42. TO ACCESS GPT 4 for free
(but limited to few chats only)
Sign in here
https://chat.forefront.ai/

and select gpt 4 and start chatting

44. If you have a long video or long audio and want to use AI to analyse that long video transcript, you can use this

https://www.assemblyai.com/blog/lemur-early-access/

Click Try in Playground in that website and upload your video or audio.

AI & ML DIGITAL NOTES 📝

REACT ❤️ For More ✌️

Understanding Generative AI: It's Not AGI


What is Generative AI?

Generative AI refers to algorithms designed to generate new content — from text to images — based on patterns learned from a dataset. Technologies like GPT-4 and DALL-E are popular examples, extensively used for tasks ranging from writing articles to designing graphics.


How Does Generative AI Work?

1 Training: Generative AI models are trained on large datasets, learning the structure, style, and intricacies of the data without human intervention.

2 Pattern Recognition: Through training, these models recognize patterns and correlations in the data, enabling them to predict and generate similar outputs.

3 Output Generation: When provided with a prompt, generative AI uses its training to produce content that aligns with what it has learned, attempting to mimic the input style or respond to the query coherently.


Generative AI vs. AGI:

• Specialization: Generative AI excels in specific tasks it's trained for but lacks the ability to perform beyond its training.

• No Consciousness or Understanding: Unlike AGI, generative AI does not possess consciousness, understanding, or reasoning. It doesn't "think" like humans; it merely processes data based on pre-defined mathematical and probabilistic models.

• Task-Specific: Generative AI operates within the confines of its programming and training, contrasting with AGI's potential to perform any intellectual task that a human can.


Why It Matters:

Understanding the capabilities and limitations of generative AI helps set realistic expectations for its applications. It's a powerful tool for specific tasks but is far from the sci-fi notion of an all-knowing, all-purpose AI.

Generative AI is nowhere near AGI, it even works on different principles. It basically is an average function for non-numerical data. It can create an average text or an average picture from all the texts and pictures it has seen.

Now here is a list of my personal real world application of generative AI in marketing. I'll dive deeper into each of those with examples in the upcoming posts.

1. Writing Reports No One Reads:
AI excels at drafting those lengthy reports that turn into digital paperweights. It’s great at fabricating long-winded BS within token limits. I usually draft an outline and ask ChatGPT to generate it section by section, up to 50 pages.

2. Summarizing Reports No One Reads:
Need to digest that tedious 50-page report without actually reading it? AI can condense it to a digestible one-pager. It’s also handy for summarizing podcasts, videos, and video calls.

3. Customizing Outbound/Nurturing Messages:
AI can tailor your pitches by company or job title, but it’s only as effective as the template you provide. Remember, garbage in, garbage out. Later, I'll share tips on crafting non-garbage ones.

4. Generating Visuals for Banners:
AI can whip up visuals faster than a caffeine-fueled art student. The layout though looks like something more than just caffeine was involved. I typically use a Figma template with swappable visuals, perfect for Dall-E creations.

5. AI as Client Support:
Using AI for customer support is akin to chatting with a tree — an animated FAQ that only frustrates clients in need of serious help.

6. Creating Templates for Documents:
Need a research template or a strategy layout? AI can set these up, letting you focus on filling in the key details.

7. Breaking Down Complex Tasks:
Those projects, that you are supposed to break into subtasks, but will to live drains out of you by just looking at them. AI can slice 'em into more manageable parts and actually help you get started.

Note: I recommend turning to LLM in all those cases you just can't start. Writing or copypasting text into ChatGPT is the easiest thing you can do besides just procrastinating. But once you've sent the first message, things just start moving.