Analytics Vidhya

DECEMBER 23, 2023

Introduction Structured Query Language (SQL) is a powerful tool for managing and manipulating relational databases. Whether you are a budding data scientist, a web developer, or someone looking to enhance your database skills, practicing SQL is essential. So, are you a beginner in SQL looking to enhance your skills?

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Analytics Vidhya

APRIL 9, 2024

Their recent unveiling of the world’s largest open-source Text-to-SQL dataset marks a significant leap in empowering businesses to harness the full potential of artificial intelligence.

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Analytics Vidhya

MAY 16, 2024

Introduction You can easily create a simple application that can chat with SQL Database. If the database is huge, it’s impractical to include the complete list of columns and tables in the prompt […] The post How to Create an AI Application That Can Chat with Massive SQL Databases appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 27, 2022

The post Movie Recommendation with SQL Using Google Cloud Platform appeared first on Analytics Vidhya. Or have you ever think how Amazon shows your the recommended product based on your search item? So the magic behind these technologies is called the […].

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Analytics Vidhya

DECEMBER 24, 2024

In the rapidly evolving landscape of software development, the intersection of artificial intelligence, data validation, and database management has opened up unprecedented possibilities.

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Analytics Vidhya

APRIL 23, 2024

Microsoft has unveiled its latest innovation in artificial intelligence (AI), the Phi-3 Mini. Also Read: Alibaba’s LLM-R2: Revolutionizing SQL Query […] The post Microsoft’s Phi-3 Mini: The New Era of Compact AI Models appeared first on Analytics Vidhya. Let’s explore its features and capabilities.

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Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

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Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress.

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Pickl AI

OCTOBER 30, 2024

Summary: Dynamic SQL is a powerful feature in SQL Server that enables the construction and execution of SQL queries at runtime. Introduction Dynamic SQL is a powerful programming technique that allows developers to construct and execute SQL statements at runtime. What is Dynamic SQL?

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Pickl AI

NOVEMBER 3, 2024

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. SQL provides several techniques for pattern matching, enabling users to efficiently query databases and extract meaningful insights.

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KDnuggets

OCTOBER 4, 2023

By training GPT to query with few-shot prompting.

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Smart Data Collective

DECEMBER 21, 2021

Artificial intelligence holds the key to pulling insights from these enormous volumes of data. In NoSQL databases, the data does not follow a structured format like SQL, making it easier to store. As your database ingests new data, artificial intelligence goes to work parsing the data.

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Flipboard

SEPTEMBER 16, 2024

You have learnt a new programming language and understand the elements of machine learning and artificial intelligence. Now you’re thinking about learning SQL. Image by Author | Canva You’ve learned the fundamentals of computer science. You're starting to see all the pieces of the puzzle coming together.

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Dataconomy

MARCH 6, 2025

The increasingly common use of artificial intelligence (AI) is lightening the work burden of product managers (PMs), automating some of the manual, labor-intensive tasks that seem to correspond to a bygone age, such as analyzing data, conducting user research, processing feedback, maintaining accurate documentation, and managing tasks.

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AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

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IBM Journey to AI blog

NOVEMBER 29, 2023

Artificial intelligence is also key for businesses, helping provide capabilities for both streamlining business processes and improving strategic decisions. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

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Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

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Flipboard

APRIL 28, 2025

In this post, we employ the LLM-as-a-judge technique to evaluate the text-to-SQL and chain-of-thought capabilities of Amazon Bedrock Agents. These include a sample RAG agent, a sample text-to-SQL agent, and pharmaceutical research agents that use multi-agent collaboration for cancer biomarker discovery.

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IBM Data Science in Practice

APRIL 26, 2024

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. The ability to dynamically edit SQL queries within dynamic views enhances adaptability in data analysis.

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Analytics Vidhya

DECEMBER 12, 2023

This article dives into the dynamic synergy between vector databases and generative AI solutions, exploring how these technological bedrocks are shaping the future of artificial intelligence creativity. appeared first on Analytics Vidhya.

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AWS Machine Learning Blog

JUNE 20, 2024

The data is stored in a data lake and retrieved by SQL using Amazon Athena. The following figure shows a search query that was translated to SQL and run. Data is normally stored in databases, and can be queried using the most common query language, SQL. Constructing SQL queries from natural language isn’t a simple task.

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AWS Machine Learning Blog

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. For Model name , enter llama-3-8b-text-to-sql. Choose Import model.

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AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries.

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AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL.

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Analytics Vidhya

NOVEMBER 2, 2023

empower this by understanding and generating SQL, Python, text summarization, and visualizations from data. Introduction Generative AI enhances data analytics by creating new data and simplifying tasks like coding and analysis. Large language models (LLMs) such as GPT-3.5 Yet, limitations persist, like handling short contexts and errors.

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Data Science Dojo

APRIL 6, 2023

While Python and R are popular for analysis and machine learning, SQL and database management are often overlooked. However, data is typically stored in databases and requires SQL or business intelligence tools for access. They use Structured Query Language (SQL) for managing and querying data. What is SQL?

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Towards AI

JULY 6, 2023

NSQL is a new family of open-source large foundation models (FMs) designed specifically for SQL generation tasks Raise your hand if you have tried to use ChatGPT or any of the other LLMs to generate SQL queries. Why SQL; SQL is still the most commonly used language. I have, and I currently am! Its name is NSQL.

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ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

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Towards AI

MARCH 29, 2024

Best AI SQL Query Tools Want to quickly get answers from your database? It’s an open-source tool that helps you generate SQL to let the data speak for itself. Vanna is precisely such a Python package that utilizes RAG technology to quickly generate SQL queries for you. Ask questions, and it answers with SQL.

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Data Science Dojo

OCTOBER 4, 2024

Their research can lead to breakthroughs in fields such as artificial intelligence, machine learning, and cybersecurity, which are essential for the progress of modern society. Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL.

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AWS Machine Learning Blog

AUGUST 30, 2024

With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. Meta Llama 3’s capabilities enhance accuracy and efficiency in understanding and generating SQL queries from natural language inputs.

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AWS Machine Learning Blog

OCTOBER 24, 2024

The agent can generate SQL queries using natural language questions using a database schema DDL (data definition language for SQL) and execute them against a database instance for the database tier. Make sure to add a semicolon after the end of the SQL statement generated. Create, invoke, test, and deploy the agent.

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Dataconomy

MARCH 17, 2025

Its performance in handling instruction-following tasks, SQL queries, and retrieval-augmented generation (RAG) applications has shown exceptional accuracy in real-world evaluations, outperforming its competitors in multilingual scenarios. Exceptional execution in SQL, agentic tasks, and tool-based applications.

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databricks

JUNE 4, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

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AWS Machine Learning Blog

APRIL 3, 2025

Part of a comprehensive approach to using artificial intelligence and machine learning (AI/ML) and generative AI includes a strong data strategy that can help provide high quality and reliable data. This tool democratizes data access across the organization, enabling even nontechnical users to gain valuable insights.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Now, consider a different scenario: an AI assistant, designed to assist back desk agents at this travel company, uses an LLM to translate natural language queries into SQL commands. We need every user request mapped accurately to its corresponding SQL command, leaving no room for error. Precision is key here.

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Data Science Dojo

MARCH 7, 2023

Programming Data scientists need to have a solid foundation in programming languages such as Python, R, and SQL. SQL is a must-have for data scientists as it is a database language and allows them to extract data from databases and manipulate it easily.

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