GPT-3 application for website form generation
Turns out #GPT3 model is capable of generating #JSX code (which is HTML layout for #React ) given the description of the required blocks to generate.
Author reports that there are exceptions, given current output limit of the model of 512 tokens.
Why this is important: one might suppose that in the future programmers will just write specifications and tests for the AI to generate the code. Given the speed of progress that won’t be surprising at all.
And probably the more sophisticated models will be capable of using hard output limit to produce a code for the output generation but that obviously is still an area for active research.
More realistic evaluation is that the upcoming code generation tools is that it will just allow more people to build products, following #nocode movement.
Twitter thread: https://twitter.com/sharifshameem/status/1282676454690451457
#codegeneration #NLU
Team
@OpenArchiveBooks
@data_entusiasts
Turns out #GPT3 model is capable of generating #JSX code (which is HTML layout for #React ) given the description of the required blocks to generate.
Author reports that there are exceptions, given current output limit of the model of 512 tokens.
Why this is important: one might suppose that in the future programmers will just write specifications and tests for the AI to generate the code. Given the speed of progress that won’t be surprising at all.
And probably the more sophisticated models will be capable of using hard output limit to produce a code for the output generation but that obviously is still an area for active research.
More realistic evaluation is that the upcoming code generation tools is that it will just allow more people to build products, following #nocode movement.
Twitter thread: https://twitter.com/sharifshameem/status/1282676454690451457
#codegeneration #NLU
Team
@OpenArchiveBooks
@data_entusiasts
Deep learning to translate between programming languages
#FacebookAI released TransCoder, an entirely self-supervised neural transcompiler system that is claimed to make code migration easier and more efficient.
ArXiV: https://arxiv.org/pdf/2006.03511.pdf
Github: https://github.com/facebookresearch/TransCoder/
#NLU #codegeneration #NLP
ᅠᅠ
Team
@OpenArchiveBooks
@data_entusiasts
#FacebookAI released TransCoder, an entirely self-supervised neural transcompiler system that is claimed to make code migration easier and more efficient.
ArXiV: https://arxiv.org/pdf/2006.03511.pdf
Github: https://github.com/facebookresearch/TransCoder/
#NLU #codegeneration #NLP
ᅠᅠ
Team
@OpenArchiveBooks
@data_entusiasts