databricks

JULY 22, 2024

Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.

127

127

Netflix Tech

JULY 22, 2024

By Jun He , Natallia Dzenisenka , Praneeth Yenugutala , Yingyi Zhang , and Anjali Norwood TL;DR We are thrilled to announce that the Maestro source code is now open to the public! Please visit the Maestro GitHub repository to get started. If you find it useful, please give us a star. What is Maestro Maestro is a general-purpose, horizontally scalable workflow orchestrator designed to manage large-scale workflows such as data pipelines and machine learning model training pipelines.

Machine Learning 102

Machine Learning Coding Data Pipeline Java 102

databricks

JULY 22, 2024

Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.

Data Science 123

Data Science Data 123

Cloudera

JULY 22, 2024

Late last week, the tech world witnessed a significant disruption caused by a faulty update from CrowdStrike, a cybersecurity software company that focuses on protecting endpoints, cloud workloads, identity, and data. This update led to global IT outages, severely affecting various sectors such as banking, airlines, and healthcare. Many organizations found their systems rendered inoperative, highlighting the critical importance of system resilience and reliability.

Amazon Web Services 84

Amazon Web Services Telecommunication Banking Healthcare 84

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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databricks

JULY 22, 2024

Written in collaboration with Navin Sharma and Joe Pindell, Stardog Across industries, the impact of post-delivery failure costs (recalls, warranty claims, lost goodwill.

Data 96

Data Manufacturing 96

KDnuggets

JULY 22, 2024

Let's learn to use Pandas pivot_table in Python to perform advance data summarization

Python 112

Python Data 112

KDnuggets

JULY 22, 2024

Transfer learning can improve model performance by leveraging pre-trained models and adapting them to new, related tasks.

Machine Learning 93

Machine Learning 93

Monte Carlo

JULY 22, 2024

Data doesn’t just flow – it floods in at breakneck speed. How do we track this tsunami of changes, ensure data integrity, and extract meaningful insights? Data versioning is the answer. It provides us with a systematic approach to tracking changes, ensuring data integrity, and enabling meaningful insights within today’s fluid and complex data environment.

Metadata 52

Metadata Datasets ETL Tools Data 52

Cloudyard

JULY 22, 2024

Read Time: 2 Minute, 57 Second Previously, data engineers used Kinesis Firehose to transfer data into blob storage (S3) and then load it into Snowflake using either Snowpipe or batch processing. This introduced latency in the data pipeline for near real-time data processing. Now, Amazon Kinesis Data Firehose (Firehose) offers direct integration with Snowflake Snowpipe Streaming, eliminating the need to store data in an S3 bucket.

AWS 52

AWS Data Ingestion Data Architecture Architecture 52

Knowledge Hut

JULY 22, 2024

As DevOps engineer, your responsibility is to bridge the gaps between software developments, testing, and support. As a DevOps engineer, you will regularly manage, monitor, and optimize an IT projects’ who, what, where, and how. DevOps engineering is not an easy field to work in, but it is a well-paying position with a promising future. To get ready for its interview, you will need expertise with various software applications and experience collaborating with other software engineering dep

Engineering 52

Engineering Building Recruitment Education 52

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

KDnuggets

JULY 22, 2024

Go from zero to 100 with these free NLP courses!

Process 99

Process 99

Edureka

JULY 22, 2024

Artifacts in DevOps not only help produce the final software but also help the team of developers by storing all the necessary elements in the artifacts repository, where the developers can easily find them and perform necessary operations (add, move, edit, or delete) with them. Thus, the artifacts save the developers valuable time from finding and gathering resources from different places, improving their productivity.

IT 40

IT AWS Coding Python 40

Snowflake

JULY 22, 2024

A robust, modern data platform is the starting point for your organization’s data and analytics vision. At first, you may use your modern data platform as a single source of truth to realize operational gains — but you can realize far greater benefits by adding additional use cases. In this blog, we offer guidance for leveraging Snowflake’s capabilities around data and AI to build apps and unlock innovation.

Government 98

Government Cloud Data Hadoop 98