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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. Mixtral-8x7B uses an MoE architecture. This approach enables the efficient training and deployment of larger models compared to traditional architectures.

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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning - AI

Enterprises have access to massive amounts of data, much of which is difficult to discover because the data is unstructured. Conventional approaches to analyzing unstructured data use keyword or synonym matching. They don’t capture the full context of a document, making them less effective in dealing with unstructured data.

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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

AWS Machine Learning - AI

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query.

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Technology Trends for 2023

O'Reilly Media - Ideas

In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Now developers are using AI to write software. Our data shows us what O’Reilly’s 2.8 A lot has happened in the past year. What’s real, and what isn’t? What does that mean?

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