Systems | Development | Analytics | API | Testing

MLOps for Generative AI with MLRun

The influx of new tools like ChatGPT spark the imagination and highlight the importance of Generative AI and foundation models as the basis for modern AI applications. However, the rise of generative AI also brings a new set of MLOps challenges. Challenges like handling massive amounts of data, large scale computation and memory, complex pipelines, transfer learning, extensive testing, monitoring, and so on. In this 9 minute demo video, we share MLOps orchestration best practices and explore open source technologies available to help tackle these challenges.

Cloud Data Warehouse: A Comprehensive Guide

With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now resides in the cloud. Now that all the business data resides on the cloud, companies need a data warehouse that can seamlessly store the data from all the different cloud-based applications. This is where Cloud Data Warehouse comes into the picture.

Don't Worry About ChatGPT Impacting Your Testing Career - Watch This! @sidharthshukla_SDET At QonfX

Hi everyone, welcome to this video on "How to use ChatGPT for Test Automation?" ChatGPT is a powerful tool that can help you create and run automated tests for your software applications. In this video, we will cover: By the end of this video, you will have a good understanding of how to use ChatGPT for test automation and how it can improve your testing efficiency and accuracy.

Transform test planning with AI in Tricentis Test Management for Jira's latest release

AI is revolutionizing our working world. (It even helped us write this blog post.) And now, it can help you write your test plan. Our latest release of Tricentis Test Management (TTM) for Jira is equipped with a groundbreaking AI capability that has the power to revolutionize your test planning process. This game-changing feature saves valuable time by enabling users to generate test steps in just a few clicks, thanks to the power of artificial intelligence.

LLM ChatBot Augmented with Enterprise Data

This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.

10 AWS Data Lake Best Practices

A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.

Generative AI for the Enterprise

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, where it set the record for the fastest-growing user base, reaching 100 million users in just 2 months after its launch.