🥇 Code Llama beats GPT4 in the coding challenge and solves it in the most concise way.
⚙️ Code Llama is an open source coding assistant model that dominates the field.
📚 Code Llama is based on a 34 billion parameter model and has different versions for consumer-grade hardware.
The CODE LLAMA 34B and CODE LLAMA 34B Python achieved higher pass rates on human evaluation than GPT4.
In real-world tests, CODE LLAMA outperformed GPT4 in terms of ease of setup and cost.
The model configuration and prompt template used for testing CODE LLAMA are mentioned.
🔑 Both CODE LLAMA and GPT4 successfully output numbers 1 to 100 in Python.
🕹️ GPT4 provides a basic outline for creating a snake game in Python using pi game, and it successfully loads the game.
⭐ CODE LLAMA and GPT4 both pass the tasks successfully, with GPT4 being the first open-source model to load the snake game.
🐍 Code Llama is able to write a Python game called Snake using Pygame, and it works as expected.
🔥 Code Llama outperforms GPT4 in terms of successfully running the code and producing the desired output.
💻 Code Llama is also able to solve a programming challenge from the website Python Principles.
👍 Both Code Llama and GPT4 were tested on several coding challenges.
😮 Code Llama outperformed GPT4 on the intermediate challenge.
🔥 Both Code Llama and GPT4 successfully solved the hardest coding challenge.
📝 The video compares the performance of Code Llama and GPT4 in solving a challenging coding problem.
⏱️ Both Code Llama and GPT4 failed to solve the problem, indicating the difficulty of the challenge.
💻 Code Llama successfully refactored the given code, while GPT4 suggested organizing functions under a class, but the result was not satisfactory.
⭐️ CODE LLAMA successfully refactored the given Python code example.
❌ Unfortunately, GPT4 failed to output anything when attempting to refactor the code.
🏆 CODE LLAMA performed better than GPT4 in one coding challenge, representing a significant advancement in the coding realm.
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