Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q
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In this solution, we use Amazon Q to build a comprehensive knowledge base that combines sales-related data from an Aurora MySQL database and sales documents stored in an S3 bucket... This custom knowledge base that connects these diverse data sources enables Amazon Q to seamlessly respond to a wide range of sales-related questions using the chat interface... Set up an Aurora MySQL database Com...
In this solution, we use Amazon Q to build a comprehensive knowledge base that combines sales-related data from an Aurora MySQL database and sales documents stored in an S3 bucket... This custom knowledge base that connects these diverse data sources enables Amazon Q to seamlessly respond to a wide range of sales-related questions using the chat interface... Set up an Aurora MySQL database Com...
Automate Q&A email responses with Amazon Bedrock Knowledge Bases
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The extensive knowledge required can make it overwhelming to respond to email inquiries manually... Using generative AI allows businesses to improve accuracy and efficiency in email management and automation... In this post, we illustrate automating the responses to email inquiries by using Amazon Bedrock Knowledge Bases and Amazon Simple Email Service (Amazon SES), both fully managed services....
The extensive knowledge required can make it overwhelming to respond to email inquiries manually... Using generative AI allows businesses to improve accuracy and efficiency in email management and automation... In this post, we illustrate automating the responses to email inquiries by using Amazon Bedrock Knowledge Bases and Amazon Simple Email Service (Amazon SES), both fully managed services....
Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock
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One effective way to improve context relevance is through metadata filtering, which allows you to refine search results by pre-filtering the vector store based on custom metadata attributes... By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content... In some ...
One effective way to improve context relevance is through metadata filtering, which allows you to refine search results by pre-filtering the vector store based on custom metadata attributes... By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content... In some ...
Is Fed Policy Still Too Tight?
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But waiting for clear signs could risk the Fed’s success to date in taming inflation without damaging economic growth...For perspective, let’s start with a simple overview of how current policy compares with headline consumer inflation plus unemployment, which together can be used as a proxy for the central bank’s dual mandate for minimizing inflation and maximizing employment...T...
But waiting for clear signs could risk the Fed’s success to date in taming inflation without damaging economic growth...For perspective, let’s start with a simple overview of how current policy compares with headline consumer inflation plus unemployment, which together can be used as a proxy for the central bank’s dual mandate for minimizing inflation and maximizing employment...T...
Macro Briefing: 20 November 2024
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US housing starts fell in October, falling 3... “Hurricanes Helene and Milton are likely to have affected housing activity during October,” advises Haver Analytics... Christopher Rupkey, chief economist at FWDBONDS, notes: “Despite the weather impact on building down in the South, the recession in residential housing construction remains deep in the woods with no daylight seen for buyers fac...
US housing starts fell in October, falling 3... “Hurricanes Helene and Milton are likely to have affected housing activity during October,” advises Haver Analytics... Christopher Rupkey, chief economist at FWDBONDS, notes: “Despite the weather impact on building down in the South, the recession in residential housing construction remains deep in the woods with no daylight seen for buyers fac...
Securing the RAG ingestion pipeline: Filtering mechanisms
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For example, let’s assume you crawl a public website and ingest the data into your knowledge base... Because it’s public data, you risk also ingesting malicious content that was injected into that website by threat actors with the goal of exploiting the knowledge base component of the RAG application... Security measures should be applied not only at inference time (that is, filtering model ...
For example, let’s assume you crawl a public website and ingest the data into your knowledge base... Because it’s public data, you risk also ingesting malicious content that was injected into that website by threat actors with the goal of exploiting the knowledge base component of the RAG application... Security measures should be applied not only at inference time (that is, filtering model ...
Racing into the future: How AWS DeepRacer fueled my AI and ML journey
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In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning... But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML... The AWS DeepRacer League was also announced, featuring physical races at AWS Summits worldwide i...
In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning... But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML... The AWS DeepRacer League was also announced, featuring physical races at AWS Summits worldwide i...