CODE LLAMA vs GPT4: A Comparison of Coding Assistants
CODE LLAMA outperforms GPT4 as the best open source coding assistant with a concise and efficient approach. It has a pass rate of 67.6-69.5% in real-world tests and performs better in functionality.
00:00:00 CODE LLAMA outperforms GPT4 as the best open source coding assistant, with a concise and efficient approach. It is based on a 34 billion parameter model and offers smaller quantized versions for consumer grade hardware.
š„ Code Llama beats GPT4 in the coding challenge and solves it in the most concise way.
āļø Code Llama is an open source coding assistant model that dominates the field.
š Code Llama is based on a 34 billion parameter model and has different versions for consumer-grade hardware.
00:01:31 Code LLAMA outperforms GPT4 in coding with a pass rate of 67.6-69.5%. They are compared using real-world tests.
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.
00:03:03 Comparing CODE LLAMA with GPT4 in coding tasks, both models successfully output numbers 1 to 100. GPT4 also generates a basic snake game using Pygame.
š Both CODE LLAMA and GPT4 successfully output numbers 1 to 100 in Python.
š¹ļø GPT4 provides a basic outline for creating a snake game in Python using pi game, and it successfully loads the game.
ā CODE LLAMA and GPT4 both pass the tasks successfully, with GPT4 being the first open-source model to load the snake game.
00:04:34 A comparison between CODE LLAMA and GPT4 for coding. Both models are impressive, but CODE LLAMA performs slightly better in terms of functionality.
š Code Llama is able to write a Python game called Snake using Pygame, and it works as expected.
š„ Code Llama outperforms GPT4 in terms of successfully running the code and producing the desired output.
š» Code Llama is also able to solve a programming challenge from the website Python Principles.
00:06:07 Testing Code Llama and GPT4 on coding challenges, Code Llama outperforms GPT4, including on expert level challenges.
š Both Code Llama and GPT4 were tested on several coding challenges.
š® Code Llama outperformed GPT4 on the intermediate challenge.
š„ Both Code Llama and GPT4 successfully solved the hardest coding challenge.
00:07:40 Comparison between CODE LLAMA and GPT4 for coding challenges. Both failed an expert level challenge. CODE LLAMA's code followed instructions perfectly, while GPT4's code was longer and not what was needed.
š The video compares the performance of Code Llama and GPT4 in solving a challenging coding problem.
ā±ļø Both Code Llama and GPT4 failed to solve the problem, indicating the difficulty of the challenge.
š» Code Llama successfully refactored the given code, while GPT4 suggested organizing functions under a class, but the result was not satisfactory.
00:09:12 A comparison between CODE LLAMA and GPT4 for coding, with CODE LLAMA performing better in some cases. Impressive performance and potential competition for GPT4 in the coding realm.
āļø CODE LLAMA successfully refactored the given Python code example.
ā Unfortunately, GPT4 failed to output anything when attempting to refactor the code.
š CODE LLAMA performed better than GPT4 in one coding challenge, representing a significant advancement in the coding realm.
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