Meta has released the impressive Meta LLM compiler, which is built on Meta Code Llama and has two versions, 7B and 13B. Its powerful code optimization and compilation capabilities are impressive. It can not only simulate the behavior of the compiler, predict the best optimization path, and even perform code disassembly, demonstrating a level of intelligence beyond traditional compilers. The fine-tuned version FTD has achieved remarkable results in code size optimization. Compared with the -Oz optimization option, it has increased by 5.24%, far exceeding the 0.03% of GPT-4 Turbo. Its performance in disassembly is also excellent, and its round-trip BLEU score of 0.96 is also significantly ahead of GPT-4 Turbo.
The Meta LLM compiler has demonstrated strong capabilities in code optimization and disassembly. Its fine-tuned version FTD achieved a 5.24% improvement over the optimization option -Oz in code size optimization and achieved a round-trip BLEU of 0.96 in disassembly capabilities. The scores far exceed those of GPT-4Turbo. These amazing results have attracted widespread attention in the industry. The compiler can be fine-tuned to specific tasks and continues to improve as it learns, with huge potential for future development. Links to relevant papers and models have been made public, and interested readers can learn more.
In addition, in terms of disassembly capabilities, the LLM compiler FTD showed strong capabilities, reaching a round-trip BLEU score of 0.96, far exceeding GPT-4Turbo's 0.43.
This news has attracted widespread attention on the Internet, and interested readers can visit the links to the model and paper to learn more.
Paper: https://ai.meta.com/research/publications/meta-large-language-model-compiler-foundation-models-of-compiler-optimization/?utm_source=twitter&utm_medium=organic_social&utm_content=link&utm_campaign=fair
The emergence of the Meta LLM compiler marks a major breakthrough for AI in the field of code optimization and compilation. Its powerful performance and future development potential are worth looking forward to. It is believed that this technology will have a profound impact on the fields of software development and artificial intelligence.