Data Science Dojo

NOVEMBER 18, 2023

Any serious applications of LLMs require an understanding of nuances in how LLMs work, embeddings, vector databases, retrieval augmented generation (RAG), orchestration frameworks, and more. This talk will introduce you to the fundamentals of large language models and its emerging architectures.

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Dataconomy

JUNE 5, 2024

On Tuesday, cybersecurity expert Alexander Hagenah unveiled a demo tool that illustrates how malware can effortlessly exploit the saved data within the Recall function. “The database is unencrypted. Beaumont noted that Recall saves information in a readily accessible database within the user’s AppData folder.

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IBM Journey to AI blog

MARCH 14, 2024

Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation. By using fit-for-purpose databases, customers can efficiently run workloads, using the appropriate engine at the optimal cost to optimize analytics for the best price-performance.

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AWS Machine Learning Blog

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The following demo shows Agent Creator in action. Chunker Snap – Segments large texts into manageable pieces.

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The MLOps Blog

JULY 4, 2024

TL;DR Vector databases play a key role in Retrieval-Augmented Generation (RAG) systems. After reading this article, you’ll know different ways to use vector databases to enhance the task performance of LLM-based systems. Vector Database: A database purpose-built for handling storage and retrieval of vectors.

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Cambridge Intelligence

OCTOBER 25, 2023

Visualizing graph data doesn’t necessarily depend on a graph database… Working on a graph visualization project? You might assume that graph databases are the way to go – they have the word “graph” in them, after all. Do I need a graph database? It depends on your project. Unstructured? Under construction?

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Database Data Modeling Data Models Algorithm 64

Towards AI

FEBRUARY 26, 2025

It works beautifully when you demo it to your friends. The typical rookie setup goes something like this: The user types something straight into OpenAIs API The response comes back straight to the user Every single message dumped into your database Seems logical enough, right? Your database will thank you.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. Use database functions for searches and compatibility checks. The following diagram illustrates the workflow of the agent. Assist with partial information.

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Flipboard

MARCH 30, 2023

Now, with a letter circulating that asks AI researchers to pause development and with YC demo day next week, we decided to see if that checks out. Ninety-one startups, or 34%, of the current YC class list that they are an AI company or use AI in some kind of way, according to the accelerator’s handy online database.

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Flipboard

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

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Flipboard

DECEMBER 11, 2024

With the SQL editor, you can query data lakes, databases, data warehouses, and federated data sources. Under Quick setup settings , for Name , enter a name (for example, demo). For Project name , enter a name (for example, demo). Expand your database starting from glue_db_. Choose Continue. option("multiLine", "true").option("header",

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Instead of relying solely on their pre-trained knowledge, RAG allows models to pull data from documents, databases, and more. This means that as new data becomes available, it can be added to the retrieval database without needing to retrain the entire model. Memory efficiency – LLMs require significant memory to store parameters.

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Iguazio

APRIL 28, 2025

This setup happens once per toolset and is stored in a database. Each Nuclio function loads the appropriate model from Iguazio, performs inference, and sends results to a database or stream, or back to RabbitMQ for factory control actions. In the end, inference results are consolidated and written to a database.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Database name : Enter dev. Database user : Enter awsuser. Enter the following details to establish your Amazon Redshift connection : Cluster Identifier : Copy the ProducerClusterName from the CloudFormation nested stack outputs. Unload IAM Role ARN : Copy the RedshiftDataSharingRoleName from the nested stack outputs.

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phData

MARCH 21, 2023

A major bottleneck to getting value from a Snowflake Data Cloud environment is creating the databases, schemas, roles, and access grants that make up an ‘information architecture’. The Provision tool is available for everyone to try and demo at a small scale and is available to all phData customers for free without limitations.

Database 98

Database 98

Towards AI

DECEMBER 10, 2023

In my experience, there are two types of B2C new customers: A True new customer: A customer with no existing account in the company database. This led to crafting a solution that can be summarized in two steps: Using LLM to find semantic similarity between customer details in the database as soon as a customer registers.

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Database Python Algorithm AI 105

Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? And if you want to see demos of some of this functionality, be sure to join us for the livestream of the Citus 12.0 Updates page. Let’s dive in!

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Database SQL Data Modeling Data Models 123

Tableau

JANUARY 26, 2021

Each month, our Developer Platform team pulls back the curtain on recent work to support our developer community during the monthly Tableau Developer Program Sprint Demos. To benefit from this new file format, which handles database files more efficiently after rows are deleted, opt-in with the January Hyper API release.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

In this post, we save the data in JSON format, but you can also choose to store it in your preferred SQL or NoSQL database. Run the Streamlit demo Now that you have the components in place and the invoices processed using Amazon Bedrock, it’s time to deploy the Streamlit application. or python -m streamlit run review-invoice-data.py

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AWS Machine Learning Blog

FEBRUARY 13, 2025

For this demo, weve implemented metadata filtering to retrieve only the appropriate level of documents based on the users access level, further enhancing efficiency and security. To get started, explore our GitHub repo and HR assistant demo application , which demonstrate key implementation patterns and best practices.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Text-to-SQL generation This step takes the user’s questions as input and converts that into a SQL query that can be used to retrieve the claim- or benefit-related information from a relational database. Data retrieval After the query has been validated, it is used to retrieve the claims or benefits data from a relational database.

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IBM Journey to AI blog

APRIL 8, 2024

The new Amazon Relational Database Service (Amazon RDS) for Db2 offering allows customers to migrate their existing, self-managed Db2 databases to the cloud and accelerate strategic modernization initiatives. AWS ran a live demo to show how to get started in just a few clicks. Where can I provide feedback?

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ODSC - Open Data Science

OCTOBER 19, 2023

Grab one for access to Keynote Talks, Demo Talks, the AI Expo and Demo Hall, and Extra Events. Find Your AI Solutions at the ODSC West AI Expo Learn about the best AI solutions for your organization at the ODSC West AI Expo & Demo Hall during these Demo Theater sessions! Attend in-person or virtually! Learn more here!

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Hacker News

MARCH 9, 2023

Using large language models akin to ChatGPT, he built a free-form question-answering bot on top of a CrunchBase database of investors, companies and fundraising rounds. For another demo, Van Haren fine-tuned OpenAI’s GPT-3 language model on a dataset of over 6.5 Van Haren gave examples from his own experimentation.

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Towards AI

DECEMBER 29, 2023

A demo app showcasing the functionality of the component is also deployed in Streamlit community cloud! The token handling service, simulated through a set of functions, allows for creating, deleting, and renaming tokens within a database (represented as a list of dictionaries in this case).

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Flipboard

APRIL 23, 2025

The high-level steps are as follows: For our demo , we use a web application UI built using Streamlit. The following diagram illustrates how RBAC works with metadata filtering in the vector database. The web application launches with a login form with user name and password fields. The user enters the credentials and logs in.

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AWS Machine Learning Blog

DECEMBER 15, 2023

Amazon DocumentDB is a fully managed native JSON document database that makes it straightforward and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Enter a connection name such as demo and choose your desired Amazon DocumentDB cluster. Finally, select your read preference.

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Machine Learning Machine Learning AWS ML 117

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. These models are the technology behind Open AI’s DALL-E and GPT-3 , and are powerful enough to understand natural language commands and generate high-quality code to instantly query databases.

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phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. Enhanced Search and Retrieval Augmented Generation: Vector search systems work by matching queries with embeddings in a database.

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Flipboard

JULY 24, 2023

It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS. It has an official website from which you can access the premium version of Quivr by clicking on the button ‘Try demo.’

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ODSC - Open Data Science

APRIL 6, 2023

It’s a foundational skill for working with relational databases Just about every data scientist or analyst will have to work with relational databases in their careers. Another boon for efficient work that SQL provides is its simple and consistent syntax that allows for collaboration across multiple databases.

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Towards AI

MAY 9, 2023

Pinecone is one of the most popular vector database frameworks. A vector database is a type of database that is specifically designed to store and retrieve vector data efficiently. It does this by providing a framework for connecting LLMs to other sources of data, such as the internet or your personal files.

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Database Python Data Science Machine Learning 98

Towards AI

APRIL 23, 2025

The general perception is that you can simply feed data into an embedding model to generate vector embeddings and then transfer these vectors into your vector database to retrieve the desired results. how to perform a vector search Many vector database providers promote their capabilities with descriptors like easy, user-friendly, and simple.

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K-nearest Neighbors Database ETL Machine Learning 61

Applied Data Science

DECEMBER 23, 2022

Linking to demos so that you can also review them yourself Have you been finding the leaps of AI in the last past years impressive? Biology We provide links to all currently available demos: many of this year’s inventions come with a demo that allows you to personally interact with a model. Text-to-Image generation ?

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ODSC - Open Data Science

APRIL 29, 2025

It is geared toward experimentation and quick deployments, making it a popular choice for demos and non-technical users exploring AI agent behavior in a visual environment. CrewAI Use case: Multi-agent collaboration Key Features: Role-based agent assignments (e.g.,

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Dataconomy

NOVEMBER 27, 2024

Garman expressed to TechCrunch that while generative AI will be a major focus, re:Invent will showcase innovations across the entire AWS stack, including compute, storage, and databases. The AWS Builders Fair will highlight projects developed by AWS experts, partners, and customers.

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Smart Data Collective

APRIL 22, 2020

The appropriate databases are also decided upon in this stage. Each feature is called a User Story and each story has three features – Importance, Estimate, and Demo. Testing and Demo: Here the developers test the software, release the demo, and fix the bugs to ensure a satisfactory product for the client.

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