Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
39. A website where multiple chatgpt prompts are being updated daily and you can sort out the prompt you want
https://flowgpt.com/
https://flowgpt.com/
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
40. A chrome extension which you can use so that your prompts / previously available prompts can be easily copy pasted from this extension while using ChatGPT in windows
https://chrome.google.com/webstore/detail/prompster/fbagfekcjdidpmmookklbaeddgkjddml
https://chrome.google.com/webstore/detail/prompster/fbagfekcjdidpmmookklbaeddgkjddml
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
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.
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.
๐2
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
๐จ 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
(but limited to few chats only)
Sign in here
https://chat.forefront.ai/
and select gpt 4 and start chatting
โค3
Forwarded from AI Prompts | ChatGPT | Google Gemini | Claude
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.
https://www.assemblyai.com/blog/lemur-early-access/
Click Try in Playground in that website and upload your video or audio.
๐2
Understanding Generative AI: It's Not AGI
What is Generative AI?
Generative AI refers to algorithms designed to generate new content โ from text to images โ 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:
โข Specialization: Generative AI excels in specific tasks it's trained for but lacks the ability to perform beyond its training.
โข 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.
โข 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.
What is Generative AI?
Generative AI refers to algorithms designed to generate new content โ from text to images โ 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:
โข Specialization: Generative AI excels in specific tasks it's trained for but lacks the ability to perform beyond its training.
โข 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.
โข 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.
โค3๐1
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. Itโs 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. Itโs 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 itโs 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 โ 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.
1. Writing Reports No One Reads:
AI excels at drafting those lengthy reports that turn into digital paperweights. Itโs 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. Itโs 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 itโs 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 โ 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.
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๐1
Top 50 LLM interview Questions.pdf
7.1 MB
Top 50 LLM interview Questions and answres๐ฅ
React โค๏ธ for More
React โค๏ธ for More
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Artificial Intelligence and Chatbots 101 (2024).pdf
1.3 MB
๐ Title: Artificial Intelligence and Chatbots 101 (2024)
Join for more: https://t.me/machinelearning_deeplearning
Join for more: https://t.me/machinelearning_deeplearning
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๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ_๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด_๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ_๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป.pdf
105.8 KB
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