Pickl AI

JUNE 18, 2023

Advantages of Hadoop in Big Data Hadoop is a widely used open-source framework for processing and storing large volumes of data in a distributed computing environment. Distributed Computing: Hadoop follows a distributed computing model, which means it can distribute the workload across multiple nodes in a cluster.

Hadoop 52

Hadoop Big Data Big Data Clustering 52

AWS Machine Learning Blog

AUGUST 4, 2023

In Part 1 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. We use the following sample dataset.

ML 78

ML ML AWS AI 78

The MLOps Blog

JANUARY 23, 2023

In machine learning, data is the foundation upon which models are built and trained. Data from different formats, databases, and sources are combined together for modeling. Sometimes even meta-learning models are used to produce meta-features. What is data versioning in machine learning?

ML 52

ML ML Data Lakes Machine Learning 52

Flipboard

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. Use case overview Q4 Inc.,

SQL 130

SQL Database AWS Machine Learning 130

AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. The primary goal is to automatically generate SQL queries from natural language text.

SQL 119

SQL Database AI AI 119

Hacker News

MAY 26, 2023

Earlier this month, we released the first version of our new natural language querying interface , Query Assistant. There’s a lot of hype around AI, and in particular, Large Language Models (LLMs). In return, you get a Honeycomb query that executes as a best effort “answer” to your natural language query.

Machine Learning 200

Machine Learning Machine Learning Database SQL 200

AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

SQL 101

SQL AWS Database Analytics 101

The MLOps Blog

MARCH 15, 2023

If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage. This is what data processing pipelines do for you.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

SQL 100

SQL AWS AI AI 100

AWS Machine Learning Blog

MAY 9, 2024

Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor from Verisk.

AI 114

AI AI AWS Data Governance 114

AWS Machine Learning Blog

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user.

AWS 108

AWS AI AI SQL 108

ML Review

DECEMBER 16, 2019

So that hyperbolic embeddings can model hierarchies much better AND use less dimensions compared to Euclidean spaces. Conceptually similar, both papers aim at merging benefits of hyperbolic spaces with expressivity of GNNs but through different models. The authors also apply Riemannian SGD to optimize the model (**MATH ALERT HERE ?**).

Machine Learning 52

Machine Learning Machine Learning Database Algorithm 52

AWS Machine Learning Blog

FEBRUARY 14, 2024

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

AWS 115

AWS AI AI Database 115

phData

FEBRUARY 7, 2024

Snowpark is the set of libraries and runtimes in Snowflake that securely deploy and process non-SQL code, including Python, Java, and Scala. On the client side, Snowpark consists of libraries, including the DataFrame API and native Snowpark machine learning (ML) APIs for model development (public preview) and deployment (private preview).

Python 52

Python ML ML SQL 52

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. You can find all of them collected in a playlist here , or scroll down for an embedded version of each, along with a description.

AI 64

AI AI ML ML 64

Pickl AI

NOVEMBER 15, 2023

Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible. Unlike traditional databases that require a predefined schema, Data Lakes accommodate both structured and unstructured data. What Is Data Lake?

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. You can find all of them collected in a playlist here , or scroll down for an embedded version of each, along with a description.

AI 59

AI AI ML ML 59

AWS Machine Learning Blog

DECEMBER 14, 2023

Covering over 30 million job listings across more than 75 countries and spanning various languages, industries, and distribution channels, Talent.com caters to the diverse needs of job seekers, effectively connecting millions of job seekers with job opportunities. Talent.com’s mission is to facilitate global workforce connections.

ETL 81

ETL AWS ML ML 81

phData

NOVEMBER 8, 2023

The token proves that the user has the authority to communicate with and access resources within your resource server or enterprise. These rules are generally applied via group or user level policies and permissions. This integration is communicated between Snowflake and your IdP by nature of the Security Assertion Markup Language 2.0

SQL 52

SQL Azure Data Engineering Data Engineer 52

Alation

APRIL 14, 2022

And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. Support for languages and SQL. Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. The Cloud Data Migration Challenge. Data pipeline orchestration. Collaboration.

Data Governance 59

Data Governance ML ML Cloud Data 59

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. Overall Generative AI in SDLC Here is how Generative AI can help in SDLC stages (we may see more use cases as Generative AI matures).

AI 52

AI AI Data Analysis Data Analysis 52

Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language.

Database 112

Database AWS ETL SQL 112

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. that just can’t keep up with future data demands as data usage and storage skyrocket.

Data Warehouse 52

Data Warehouse SQL Cloud Data Analytics 52