Prompt

Code Example

from openai import OpenAI
 
client = OpenAI(
    base_url="https://api.unieai.com/",
    api_key="<YOUR_API_KEY>"
)
 
completion = client.chat.completions.create(
    model="UnieAI.u1-2503",
    messages=[
        {
            "role": "user",
            "content": "Please explain the logic of the following code and describe what functionality it accomplishes:\n```\n// The size of the weight array is the number of items\nfor(int i = 1; i < weight.size(); i++) { // Iterate through items\n    for(int j = 0; j <= bagweight; j++) { // Iterate through the bag capacity\n        if (j < weight[i]) dp[i][j] = dp[i - 1][j];\n        else dp[i][j] = max(dp[i - 1][j], dp[i - 1][j - weight[i]] + value[i]);\n    }\n}\n```"
        }
    ]
)
 
print(completion.choices[0].message.content)

Tips 💡

✅ Request Code Logic Explanation

If you'd like the AI to explain the logic of the code, you can directly ask a question like: “Please explain the logic of the following code and describe what problem it solves?” This will prompt the AI to analyze each line of code and explain the intent and effects of each step.

✅ Request Optimization Suggestions

In addition to explaining the logic of the code, you can also ask the AI to provide optimization suggestions, such as: "How can we optimize this dynamic programming knapsack code to make it more efficient?" The AI will suggest improvements, like using memoization or other techniques to boost performance.

✅ Expand the Problem Scope

If you’d like to discuss the application of a particular algorithm or technique, you can ask: “What type of problems can this code be applied to? Are there better solutions?” This helps explore the broader use case of the algorithm and discover alternative solutions.

✅ Deep Learning to Enhance Understanding

If you're interested in diving deeper into dynamic programming, the knapsack problem, or other fundamental algorithms, you can ask for more advanced explanations: “How can this dynamic programming code be extended to more complex multi-dimensional knapsack problems?” This will allow the AI to provide further technical insights and advanced applications.