Here is a condensed summary of the main points from the video:
The narrator has made over $500,000 from Instagram accounts started 2 years ago. By following his blueprint, others can have similar results and profits.
Key steps include:
By following this blueprint, the narrator believes others can attain similar Instagram growth and passive income generation.
Here is a condensed summary of the main points from the text:
Anu Kubo teaches techniques to maximize productivity with large language models like ChatGPT.
Prompt engineering involves refining prompts to perfect human-AI interactions. Engineers must continuously monitor prompts as AI progresses.
Prompt engineering came about due to rapidly improving AI that even creators struggle to control. Prompt engineering provides perfect responses through strategies like adopting a persona when writing prompts.
Key prompt engineering concepts covered: AI basics, linguistics, language models, prompt engineering mindset, ChatGPT intro, best practices, zero-shot prompting, few-shot prompting, AI hallucinations, text embeddings.
Best practices: write clear instructions, adopt a persona, specify format, use iterative prompting, avoid leading answers, limit scope of broad topics.
Zero-shot prompting leverages a pre-trained model's understanding without further training. Few-shot prompting provides a few examples via the prompt to enhance the model.
AI hallucinations refer to unusual outputs when models misinterpret data. Text embedding represents prompts in a vector capturing semantic information.
Here is a condensed summary of the main points from the video:
The narrator reviews seven free AI image generators as alternatives to Midjourney, which costs $20 per month.
The first generator is C art, which provides 200 free image credits daily. It uses open source models and advanced tools like image-to-image transfers.
Playground AI allows 500 free images per day commercially. Its canvas mode generates multiple images at once. Faces can be wonky at times.
Bing Image Creator uses Dall-E 3 for high quality. Users start with 25 credits and earn up to 15 more per week. Direct image edits aren't possible.
Adobe Firefly offers 24 free credits monthly for text-to-image. Quality is very good. Paid plans have unlimited generations.
Leonardo2 provides around 150 free credits daily. Images are highly detailed. Credits may be too limited for heavy users.
Stable Diffusion's Dream Studio gives new users 25 credits. Additional credits can be purchased at $10 per 1,000.
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The narrator claims to have studied AI systems like ChatGPT extensively and discovered a formula for crafting perfect prompts that get better results faster.
The formula is: Context plus Specific Information plus Intent plus Desired Response Format equals Perfect Prompt.
The narrator gives examples like providing the context of being a beginner cook trying to make Italian food, stating the intent to get a simple recipe, and asking for the response in a numbered format.
Following the formula and 7 best practices shared can save having to revise prompts multiple times to get the desired output.
The practices are: be specific, state intent, use good spelling/grammar, direct output format, follow up with clarifying questions, rephrase if needed, and fact check the output.
The narrator claims the formula works for ChatGPT, Bing, and other AI systems. Instructions to copy it are in the video description.
The narrator promotes an AI learning platform they are creating and plans future videos on related topics like prompt priming.
The narrator shares a six component framework for writing effective prompts for large language models like ChatGPT: task, context, exemplars, persona, format, and tone. These components have an order of importance, with task being essential and tone being nice to have.
For task, start with an action verb and clearly state the end goal. For context, constrain the possibilities by providing just enough relevant background information. Exemplars, or examples, greatly improve output quality. Persona involves specifying who you want the AI to be. Format means visualizing exactly how you want the end result to look. Tone involves specifying the desired voice and feel.
The narrator walks through examples of each component and shows how they can be combined into a comprehensive prompt likely to generate a high quality response. The key takeaways are understanding the six building blocks, their order of importance, and how to provide just enough information to get good results without overprompting.