Design the Best Prompts for Artificial Intelligence

Basics of Prompt Engineering

Learn the fundamentals to create effective prompts, inspired by popular tutorials like those from OpenAI and Hostinger.

Advanced Techniques

Explore prompt chaining and CoT, flagship techniques identified in Wikipedia and IBM guides.

AI Art and Image Generation

Master the art of prompting for creative AI, with categories like styles and materials from Envato and Stable Diffusion.

Tools and Models

Complete pack: GPT-3/4, Claude, Google, as on promptengineering.fr.

import os
import openai
from openai import OpenAI

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "system", "content": "You are a helpful assistant specialized in prompt engineering."},
        {"role": "user", "content": "Which parameters are needed to create the best prompt script for Artificial Intelligence algorithms?"}
    ],
    temperature=0.8,
    max_tokens=70,
    top_p=1.0,
    frequency_penalty=0.0,
    presence_penalty=0.0
)

print(response.choices[0].message.content)

Prompts as Skills

Transform your prompts into reusable skills with Claude and Google skills, based on frameworks like HeyAlice.

Applications

Uses in ideation, marketing and more, based on the audit of popular topics.

Comparison: DALL-E (OpenAI) vs Wu Dao 2.0

Wu Dao 2.0, developed by the Beijing Academy of Artificial Intelligence (BAAI), is a massive multimodal model launched in 2021, surpassing GPT-3 in size with 1.75 billion parameters. DALL-E, on the other hand, is a text-to-image generation model developed by OpenAI, based on a Transformer architecture similar to GPT-3 but optimised for visual tasks. While Wu Dao 2.0 integrates textual and visual capabilities, DALL-E excels specifically in creative image generation. Here is a detailed comparison with GPT-3 for context.

Main Technical Characteristics

What is the Best Artificial Intelligence?

For several years, artificial intelligence (AI) has been the subject of intensive research to reproduce human cognitive capabilities, as defined by the Larousse: "the science concerned with the design and implementation of machines capable of reproducing the essential characteristics of human intelligence". Models like GPT-3, DALL-E, and Wu Dao 2.0 illustrate these advances, but determining "the best" depends on criteria: size, versatility, performance on benchmarks, or specific applications.

In terms of general cognitive capabilities, GPT-3 excels in reasoning and linguistic understanding, with applications in text generation, translation, and speech recognition. DALL-E stands out in creative image generation from textual prompts, often surpassing competitors in visual creativity. Wu Dao 2.0, with its multimodality, integrates text and images for hybrid tasks, such as caption generation or visual analysis, and surpasses GPT-3 in raw scale (10 times more parameters).

However, none is perfect. GPT-3 and DALL-E lack native multimodality beyond their domains, while Wu Dao 2.0, though powerful, is limited by its focus on English and Chinese, and less globally accessible. In 2025, successors like GPT-4o or Wu Dao 3.0 have surpassed these models: Wu Dao 3.0 excels in few-shot learning on SuperGLUE, surpassing GPT-3, and integrates audio and video capabilities for increased versatility. Experts often consider GPT-4o the current leader for its speed and adaptability, but Wu Dao 3.0 emerges as a challenger in Chinese multimodality.

Today, these AIs are transforming fields like facial recognition (Wu Dao strong in object detection), translation (GPT-3 versatile), and artistic creation (DALL-E). GPT-3 handles complex questions and learns from massive data; DALL-E forms abstract visual concepts; Wu Dao analyses thousands of images in seconds for multimodal insights. While GPT-3 remains iconic, Wu Dao (and its iterations) could surpass it in the long term in scale and sensory integration.

FAQ: Frequently Asked Questions on Prompt Engineering

Answers to the most common questions to get started quickly with AI prompts.