AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. System integration – Agents make API calls to integrated company systems to run specific actions.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

In this post, we demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in SageMaker JumpStart using a simple financial domain use case. RAG is a framework for improving the quality of text generation by combining an LLM with an information retrieval (IR) system.

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Codegiant

JULY 18, 2020

The Complete Review [2020] I’ve created this “BitBucket vs GitHub” content piece to help you make a better decision when picking between the two. It boasts features like highlighted code comments and code reviews so you can easily enhance your software build by effectively communicating with your teammates. GitHub code reviews.

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AWS Machine Learning - AI

MARCH 28, 2024

If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers.

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Codegiant

JULY 2, 2020

You can download either a GitHub Mac or Windows version. Pull and Merge Requests You can use pull and merge requests to peer review and enhance the quality of your code. It’s worth noting that GitLab supports macOS, Linux, iOS, Android, except for its Windows clients. You can also utilize code reviews for text instead of code.

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