Systems | Development | Analytics | API | Testing

AI

SmartBear Introduces HaloAI, Transforming Software Development and Test Productivity with AI Technology

SmartBear HaloAI is already delivering results in beta: shatters test times by 98% in the first 2 weeks with Zephyr Scale; automates half of QA tests, saving 20 hours per regression cycle.

Best LLM Inference Engines and Servers to Deploy LLMs in Production

AI applications that produce human-like text, such as chatbots, virtual assistants, language translation, text generation, and more, are built on top of Large Language Models (LLMs). If you are deploying LLMs in production-grade applications, you might have faced some of the performance challenges with running these models. You might have also considered optimizing your deployment with an LLM inference engine or server.

Snowflake Arctic Cookbook Series: Instruction-Tuning Arctic

On April 24, we released Snowflake Arctic with a key goal in mind: to be truly open. In line with that goal, the Snowflake AI Research team is writing a series of cookbooks to describe how to pretrain, fine-tune, evaluate, and serve large-scale mixture-of-experts (MoEs) such as Arctic.

With AI Writing Code, Will AI Replace Software Engineers?

Software developers have plenty to keep them awake at night. Their top concern is no longer how to express the latest algorithm in their favorite language (C, C++, Erlang, Java, etc.). Instead, it’s being replaced by artificial intelligence (AI). Here we take a look at the process for AI writing code and answer the question: Will AI replace programmers? Read along or jump ahead to the section that interests you the most.

5 Ways Advertising, Media and Entertainment Companies are Using Gen AI

The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024, gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.

Introducing Cloudera's AI Assistants

In the last couple of years, AI has launched itself to the forefront of technology initiatives across industries. In fact, Gartner predicts the AI software market will grow from $124 billion in 2022 to $297 billion in 2027. As a data platform company, Cloudera has two very clear priorities. First, we need to help customers get AI models based on trusted data into production faster than ever.

GitTogether | GenAI & Open Source | Kunal Deo

The resurgence of Artificial Intelligence (AI) in recent years owes much to a pivotal moment: the publication of a groundbreaking paper by Google. This event underscores the significant role of Open Source in advancing AI technologies. In this presentation, we delve into how Open Source is not just influencing but also shaping the landscape of Generative AI (GenAI). However, our focus extends beyond the traditional dichotomy of Open Source versus proprietary technologies. Instead, we explore the complementary nature of both realms in fostering the development of the AI ecosystem.