Auto-complete Explainability Software Development 
Marktechpost
JULY 18, 2023
GitHub Copilot GitHub Copilot is an AI-powered code completion tool that analyzes contextual code and delivers real-time feedback and recommendations by suggesting relevant code snippets. Tabnine Tabnine is an AI-based code completion tool that offers an alternative to GitHub Copilot.
JUNE 13, 2023
Diamond Bishop , CEO and co-founder at Augmend , a Seattle collaboration software startup Diamond Bishop, CEO of Augmend. Augmend Photo) “AI is making it so small startups like ours can accelerate all aspects of the software development lifecycle. It’s helpful with generating much of the boilerplate for unit tests.
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AWS Machine Learning Blog
NOVEMBER 15, 2024
The integration of these multimodal capabilities has unlocked new possibilities for businesses and individuals, revolutionizing fields such as content creation, visual analytics, and software development. In the metadata.jsonl file, each example is a dictionary that contains three keys named file_name , prompt , and completion.
AWS Machine Learning Blog
APRIL 8, 2024
This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).
AWS Machine Learning Blog
DECEMBER 4, 2023
In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. The project was completed in a month and deployed to production after a week of testing.
AWS Machine Learning Blog
OCTOBER 11, 2023
The decode phase includes the following: Completion – After the prefill phase, you have a partially generated text that may be incomplete or cut off at some point. The decode phase is responsible for completing the text to make it coherent and grammatically correct. The default is 32.
AWS Machine Learning Blog
AUGUST 5, 2024
Next, we perform auto-regressive token generation where the output tokens are generated sequentially. This means we will be repeating this process more times to complete the response, resulting in slower overall processing. We will explain tp_degree later in this section. She’s based in the UK and loves spending time in nature.
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