Amazon Kendra VS Amazon CodeGuru

I recommend you look deeper at LangChain if you are not already familiar with it. You can also look at the aws-samples Github page; they have some great examples to get you started. For example, you could add Amazon Kendra to the mix. Connect it with one of its many sources, like Atlassian Confluence, and set up Langchain to utilize the Kendra retriever. And now you have a chatbot that can answer questions based... - Source: dev.to / 7 months ago

If you're doing this on AWS they already have a really contained solution for this. I'm sure Azure has a similar solution. I'll assume AWS - if so, AWS Kendra is a good place to start. This will give you performant natural language understanding and enterprise search support. Then you just need to map the rest of your desired functions to core AWS solutions. Source: 12 months ago

> > One of the most important capabilities of Bedrock is how easy it is to customize a model. Customers simply point Bedrock at a few labeled examples in Amazon S3, and the service can fine-tune the model for a particular task without having to annotate large volumes of data (as few as 20 examples is enough) I can't even. Does anyone remember Amazon Kendra [1]? They promised the same there. "Here's an ML powered... - Source: Hacker News / about 1 year ago

Amazon Kendra is now FedRAMP High Compliant. Amazon Kendra is now authorized as FedRAMP High in AWS GovCloud (US-West) Region. Amazon Kendra is a highly accurate intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it's scattered across multiple... - Source: dev.to / over 1 year ago

It supports using Lambdas for fulfilling specific duties, such as placing orders, as well as integrating into Kendra which is a ML powered search service. You can effectively have a conversation asking for information and it can intelligently look through your business domain and respond with answers in a naturally conversational way. - Source: dev.to / over 1 year ago

CodeGuru is a machine learning service by Amazon Web Services that provides automated code reviews and performance recommendations. Amazon CodeGuru leverages machine learning to enhance code quality by providing automated code reviews and performance recommendations. - Source: dev.to / about 2 months ago

There are security scans available in JetBrains for Python, Java, JavaScript, TypeScript, and VS code as well. AWS CodeGuru Security is another amazing security tool that takes the assistance from detection engine. Detector Library is an important component of detection engine which is responsible in making you understand why your code was highlighted by CodeWhisperer and whether an action is to be taken or not.... - Source: dev.to / 4 months ago

The final hint that something will probably happen soon was the announcement of the CodeGuru Security service, and the modification of the main CodeGuru page to point instead towards this new service. CodeGuru Security at first glance seems to be a modified version of the Reviewer, with a focus on security. This is pure speculation at this point, but I suspect that CodeGuru Reviewer will soon be either dropped or... - Source: dev.to / 10 months ago

The security of your applications is critical in the world of software development. Amazon CodeGuru Security is an AI-powered tool that helps developers identify potential security flaws in their code. CodeGuru Security analyses codebases, makes intelligent recommendations, and flags potential security risks using machine learning algorithms. This powerful tool enables developers to proactively improve their... - Source: dev.to / 11 months ago

As AI technology advances, it will likely profoundly impact code reviews. This is already starting to happen with the development of tools such as Amazon CodeGuru and GitLab's ModelOps. These tools automate certain aspects of the code review process, such as identifying potential errors and suggesting improvements, saving developers time and effort while also helping to improve code quality. - Source: dev.to / over 1 year ago