A.I Basic Terminology
I have provided here a basic outline of what AI is and how it generally “slots” together. This resource should be used as a basic guide only. There is considerably more comprehensive material within other articles on this website or if you are looking at Affiliate Marketing as an outlet for your A.I learning then I recommend more reading here at…
” The Summer of A.I and Prompt Engineering”
What Is AI?
- A.I stands for Artificial Intelligence, which is the broad term for any system that can perform tasks that normally require human intelligence, such as understanding natural language, recognizing images, playing games, making decisions, etc. A.I can be divided into two categories: narrow A.I and general A.I. Narrow A.I is designed to perform specific tasks, such as face recognition, spam filtering, or chess playing. General A.I is the hypothetical ability of a system to perform any intellectual task that a human can do, such as reasoning, learning, creativity, etc. General A.I is still a long-term goal of research and development.
- Open A.I is a research organization that aims to create and promote open and friendly A.I that can benefit humanity as a whole, without being constrained by financial or political interests. Open A.I was founded in 2015 by a group of prominent tech entrepreneurs and researchers, such as Elon Musk, Sam Altman, Peter Thiel, Ilya Sutskever, etc. Open A.I is known for developing and releasing cutting-edge A.I models and tools, such as GPT-3.5, DALL-E, Codex, ChatGPT, etc. Open A.I also advocates for the ethical and responsible use of A.I and supports the development of A.I alignment and safety research.OpenAI is not a free platform, but it offers some products and services that are free or low-cost for developers, researchers, and hobbyists. One of them is the OpenAI API, which provides access to its latest models for natural language understanding, generation, and code synthesis.. You can try some of these models on their website, such as ChatGPT, which interacts in a conversational way, or Codex, which can write code from natural language instructions
- ChatGPT is a conversational A.I chatbot developed by Open A.I that can interact in a natural and engaging way. ChatGPT is powered by GPT-4, the latest language-generating model from Open A.I’s labs. ChatGPT can answer questions, admit mistakes, challenge incorrect premises, reject inappropriate requests, and generate various types of content based on prompts. ChatGPT is available as a web app at chat.openai.com and as an iOS app. ChatGPT also offers a Plus subscription that gives users access to more features and customization options
- DALL-E is a computer program that can make pictures based on written descriptions. It uses a special type of computer program called GPT-3 that has been changed to make pictures instead of words. DALL-E can put together different ideas, looks, and styles to make new and interesting pictures that look real or strange. It can also change pictures that already exist or make new versions of them. The name DALL-E comes from two things: a movie called WALL-E and an artist called Salvador Dali. DALL-E 2 is a newer version of DALL-E that makes even better pictures with more detail.
An Example of How Each Platform Works.
- A.I: You can use an A.I system to translate text from one language to another, such as Google Translate. The system uses natural language processing techniques to analyze the input text and generate the output text in the desired language.
- Open A.I: You can use an Open A.I tool to create realistic images from text descriptions, such as DALL-E. The tool uses a neural network model to encode the text input and decode it into an image output that matches the description.
- ChatGPT: You can use ChatGPT to have a conversation with an A.I assistant that can help you with various tasks, such as booking a flight, ordering food, or debugging code. The chatbot uses GPT-4 to generate text responses based on the user input and the context of the conversation.
- DALL-E. Suppose you want to create an image of a cat wearing a hat. You can type the text prompt “a cat wearing a hat” and DALL-E will generate several images that match your description. Here are some possible images that DALL-E could create:
Using Prompts & The Associated Benefits.
Using prompts to get a better answer to your question is something that will separate your answer to the hordes of information that is being pumped out daily. The myriad of content is absolutely astounding and will only get worse. To get your content noticed and read you will need to know how to ask A.I the correct questions to receive the best answers. I have talked about “Prompt Engineering” in a past article.
So click on the link as provided so you can read more about “PROMPT ENGINEERING“.
- A.I: Prompts can help you specify your intention and expectation for the A.I system. For example, you can use prompts to indicate the source and target languages for translation or the tone and style of the output text.
- Open A.I: Prompts can help you explore the creative potential of the Open A.I tool. For example, you can use prompts to generate different variations of images from the same text description or to combine multiple concepts into one image.
- ChatGPT: Prompts can help you guide the chatbot to provide more relevant and useful responses. For example, you can use prompts to ask follow-up questions, provide feedback, or request clarification from the chatbot.
Examples of prompt engineering are:
- Text completion prompts: Text-based prompts tell the AI to complete a sentence or phrase. For instance, you can input the text, “The dog ran fast because,” and prompt the language model to complete the sentence.
- Instruction-based prompts: Instruction-based prompts tell the AI to perform a specific task or follow a certain format. For instance, you can input the text, “Write a haiku about cats,” and prompt the language model to generate a three-line poem with 5-7-5 syllables.
- Template-based prompts: Template-based prompts use placeholders or variables to indicate what kind of information the AI should fill in. For instance, you can input the text, “The capital of {country} is {city},” and prompt the language model to generate factual statements by replacing the placeholders with appropriate values.
- Context-based prompts: Context-based prompts provide additional information or examples to help the AI understand the domain or the goal of the task. For instance, you can input the text, “This is a summary of an article. The article is about {topic}. The summary is {summary},” and prompt the language model to generate summaries of articles by providing different topics and examples.
- Chain-of-thought prompts: Chain-of-thought prompts are intended for solving multiple-step and logical-thinking tasks that require a series of intermediate steps before giving the final answer. For instance, you can input the text, “Q: The cafeteria had 23 apples. If they used 20 to make lunch and bought 6 more, how many apples do they have? A: Let’s think step-by-step. The cafeteria had 23 apples originally. They used 20 to make lunch. So they had 23 – 20 = {answer1}. They bought 6 more apples, so they have {answer1} + 6 = {answer2}. The answer is {answer2},” and prompt the language model to fill in the blanks and show its reasoning.
Final Thoughts.
AI seems to have exploded suddenly on us all, but it has really been a work in progress for quite a while. Whether we like it or not, it is definitely here to stay.
If we can use it in our business or lives to make things easier or to provide better answers or more efficient systems then we should embrace it.
However, like anything, there are areas where it could be used for ill intent. It is my belief we should have watchdogs that oversee any radical developments of AI, especially relating to the military or big pharma..
Thanks for reading.
Steve
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