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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

Without specialized structured query language (SQL) knowledge or Retrieval Augmented Generation (RAG) expertise, these analysts struggle to combine insights effectively from both sources. Use Amazon Athena SQL queries to provide insights. The structured dataset includes order information for products spanning from 2010 to 2017.

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Why the significance of cybersecurity will grow even more: Leading information security engineer Anton Snitavets explains the reasons and consequences

Dataconomy

Anton encountered a similar issue in 2017 when he started working at Aras Corp as a DevSecOps Engineer. The shift towards an integrated approach Anton Snitavets points out that cybersecurity has become an integral part of their operations for more businesses, not just some protective measures or security rules imposed on existing processes.

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Customize Amazon Nova models to improve tool usage

AWS Machine Learning Blog

Example 2: User question: Who had the most rushing touchdowns for the bengals in 2017 season? GT tool: stat_pull LLM output tool: stat_pull Pred args: ['NFL'] straight match arg score 0.3333333333333333 Pred args: ['2017'] Straight match Arg score 0.6666666666666666 Pred args: ['Cincinnati Bengals'] Straight match Arg score 1.0

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Real Talk with A Data Scientist: The Future of Data Wrangling

Data Science 101

This was released as MBUX in 2017 and that was a pretty cool project because there were a lot of challenges that you wouldn’t normally have to solve if you had access to a massive data set or connectivity. He asks, “How important is SQL in comparison to Python in 2019?”. However, you have to know SQL.

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Simplifying Time Series Analysis for Data Scientists

ODSC - Open Data Science

And retrieving data is straightforward with a query language like SQL where you can filter by value, tag, time range, and more. It quickly processes and stores massive datasets with high performance and scalability, and with a little knowledge of SQL you can manage your data much more conveniently than traditional CSV files.

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Top 10 Generative AI Companies Revealed

Towards AI

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

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