Unveiling the curtain on Salesforce's latest innovation, 'CodeT5', a machine learning model that revolutionizes the coding landscape. It's not just about understanding code, but generating it in real time, setting a new benchmark in the realm of AI-driven development.
Current coding pre-training systems have many challenges
Most current methods consider source code a sequence of tokens like in natural language (NL).
- This ignores the rich structural information present in programming languages, which is vital to comprehend its semantics fully.
- A new identifier-aware unified pre-trained encoder-decoder model called CodeT5 has been developed by the Salesforce team.
CodeT5 achieves state-of-the-art (SOTA) performance on fourteen subtasks in a code intelligence benchmark CodeXGLUE
It can generate text-to-code generation, code autocompletion, and code summarization
- One drawback is it could encode stereotypes like race or gender from text comments
New deep learning model can distinguish between normal and abnormal chest X-rays
This model performs well for general thoracic abnormalities and tuberculosis as it is universal to unseen cases such as COVID-19
- Google’s new system has two significant benefits:
- Accelerates the sorting of patients by the situation
- Improves the effectiveness of other chest x-ray image recognition models.
