Top 5 Trends for AI in Testing

Top 5 tech I am exploring for AI use in problem solving and reducing manual efforts.

👉🏻 - Amazon Q

Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company's information repositories, code, and enterprise systems. When you chat with Amazon Q, it provides immediate, relevant information and advice to help streamline tasks, speed decision-making, and help spark creativity and innovation at work.

Link: https://aws.amazon.com/q/

👉🏻 - Amazon Bedrock

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. 

Link: https://lnkd.in/gUwcvPMb

👉🏻 - CodeWhisperer

Amazon CodeWhisperer generates code suggestions ranging from snippets to full functions in real time in the IDE based on your comments and existing code. It also supports CLI completions and natural-language-to-bash translation in the command line.

Link: https://lnkd.in/gYU93dSq

👉🏻 - Sagemaker

Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. With SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE). 

Link : https://lnkd.in/gDv9k4rw

👉🏻 - Partyrock

PartyRock is a space where you can build AI-generated apps in a playground powered by Amazon Bedrock. It's a fast and fun way to learn about generative AI.

Let me know what all AI tools or LLM models you folks are exploring.

💚 Learn Generative AI use for Software Testing: https://lnkd.in/gBjxYAPN