Prompt Engineering, a new career that comes with AI technology

Prompt Engineering, a new career that comes with AI technology

Prompt Engineering or Prompt Engineer is an engineer who is responsible for developing the capabilities of artificial intelligence (AI) technology by entering commands so that the AI ​​can check and analyze the answers accurately. This does not require engineering ability. But you must have an understanding of Large Language Models (LLMs), Python, or other languages ​​to use in simulating command situations and checking how well the AI ​​can enter analyze, and predict answers. Including improving information from real users. For example, if you use Siri or Alexa to play rock or jazz music, the answers must be different.

Essential techniques when you will be Prompt Engineering

Large Language Models (LLMs) like Google's GPT (Generative Pre-trained Transformer) and Palm2 (Powering Bard) are built on transformer architectures. This allows simulation and management of large amounts of data. Prompt

Engineering must have an understanding of this part.

-Teaching to learn And convert the data input completely, that is, LLM has taught AI and entered large data by converting the data data into smaller ones. (tokenization) by selecting words, phrases, or sentences that can influence the AI's interpretation

-Measure the response of the model. LLM has many measurement units. And the parameters used to measure them are fine-tuned to whether they can respond to the search or not.

-randomTop-k example, once the response has been measured The model must be used. Randomly check Top-k samples to determine randomization and test the output diversity to see if the AI ​​can display it or not.

-Check function damage and upgrade. That is, examining the response that has been damaged from various functions can indicate the level of damage. and find a solution.

Why have a career in Prompt Engineering?

In today's era, AI technology is being used in many businesses. Such as using chatbots to answer and provide information to customers. Including content design using content from AI, etc., like many businesses or organizations. This makes AI technology require accurate and efficient processing. It is not about giving the correct answer but must be understood in context and nuances. To provide the correct answer that meets the needs and consequences of ChatGPT. Since the launch of ChatGPT by OpenAI, the development of this technology has gone one step further. With a structure that has many indicators that have never been seen before

art image compilation

One secret to creating art comes from artificial intelligence. The AI ​​must understand data in different languages ​​and artworks to manage responses and process them into the desired artwork. For example, separating between “iced tea images” and “iced tea brewing” requires different processing. and create different works of art as well

How Prompt Engineering Works

1. Create the correct prompt.

Create a Prompt that includes accurate data collection and responses that can be processed. that is clear Can be processed and customized Provides clear definitions and can display accurate results Maintain standards and maintain neutrality in responses.

2. Reevaluation

is to carry out the steps repeatedly, which is considered a normal work process, namely

-Draft Prompt

-test

-Evaluate the results that the AI ​​processes.

-Improve errors

-Repeat until the best results are achieved.

3. Compare and adjust

In addition to improving Prompt and refining its AI structure, they also had to optimize the AI's ability to communicate more effectively.

In conclusion, this career is a career that plays an important role in developing and creating interactions. The relationship between humans and AI can only grow in the future where the competition for AI technology is becoming more intense every day. With the complexity of this technology Therefor,e, anyone who dreams of working in this field must put in some technical effort. Rather, it is a bridge between human intention and machine understanding. It is the subtle art of language. to develop this technology further