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AI, ML & Data Engineering

Article Series: Practical Applications of Generative AI

Generative AI (GenAI) has become a major component of the artificial intelligence (AI) and machine learning (ML) industry. However, using GenAI comes with challenges and risks. In the InfoQ "Practical Applications of Generative AI" article series, we present real-world solutions and hands-on practices from leading GenAI practitioners.

Anthony Alford
on Sep 17, 2024
AI, ML & Data Engineering

Llama 3 in Action: Deployment Strategies and Advanced Functionality for Real-World Applications

This article details the enhanced capabilities of the open-source Llama 3 LLM, and how businesses can adopt the model in their applications. The author gives step-by-step instructions for deploying Llama 3 in the cloud or on-premise, and how to leverage fine-tuned versions for specific tasks.

Tingyi Li
on Sep 17, 2024
.NET

WebAssembly and Containers: Orchestrating Distributed Architectures with .NET Aspire

Running, composing, and debugging distributed applications on the local developer machine can be difficult, error-prone, and time-intensive. Those daily tasks could be dramatically simplified thanks to .NET Aspire. In this article, we will quickly dive into .NET Aspire and illustrate how you can orchestrate next-generation distributed applications.

Thorsten Hans
on Sep 09, 2024
AI, ML & Data Engineering

InfoQ AI, ML and Data Engineering Trends Report - September 2024

InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report.

Srini Penchikala Mandy Gu Namee Oberst Roland Meertens Anthony Alford Daniel Dominguez
on Sep 06, 2024
DevOps

Efficient DevSecOps Workflows with a Little Help from AI

Michael Friedrich is exploring how teams face varying levels of inefficiency in their DevSecOps processes, hindering progress and innovation. He highlights common issues like excessive debugging time and inefficient workflows, while also demonstrating how Artificial Intelligence (AI) can be a powerful tool to streamline these processes and boost efficiency.

Michael Friedrich
on Sep 04, 2024
Culture & Methods

Simplicity, Speed, and Re-Use. Shipping Threads in 5 Months

In Jan 2023, we received word that we’d need to build a microblogging service to compete with Twitter in a couple of months. A small team was assembled to take on that challenge, and we shipped a new social network in July. This article describes how we developed and launched the Threads app at Meta last year.

Zahan Malkani
on Aug 19, 2024
Java

WebAssembly, the Safer Alternative to Integrating Native Code in Java

Developers typically choose between porting the code or dynamic linking to run native code on the JVM. This article examines these approaches, using SQLite as an example, and introduces a third option: Chicory Wasm runtime. This alternative combines the advantages of traditional methods while addressing their limitations, potentially offering a more secure solution to integrate native code.

Benjamin Eckel
on Aug 14, 2024
Java

Java Virtual Threads: a Case Study

This article explores JDK 21's virtual threads, comparing their performance with Open Liberty's thread pool. It covers key findings like throughput, ramp-up times, and memory footprint. Despite advantages, virtual threads showed unexpected performance issues, especially in CPU-intensive workloads. This analysis guides Java developers on when and how to use virtual threads in their applications.

Gary DeVal Vijay Sundaresan Rich Hagarty Laura Cowen
on Jul 11, 2024
AI, ML & Data Engineering

The AI Revolution Will Not Be Monopolized

Large language models have significantly transformed the field of artificial intelligence. The fundamental innovation behind this change is surprisingly straightforward: make the models a lot bigger. With each new iteration, the capabilities of these models expand, prompting a critical question: are we moving toward a black box era where AI is controlled by a few tech monopolies?

Daniel Dominguez
on Jul 03, 2024
Culture & Methods

Platform as a Runtime - the Next Step in Platform Engineering

As systems become larger and more complex we need to take the concepts of platform engineering to a higher level – to the code level – by creating platforms and abstractions that will reduce cognitive load, help simplify and accelerate software development, and allow for easy maintenance and upgrades to the platform. Let’s move from “platform” to “Platform as a Runtime”.

Aviran Mordo
on Jun 28, 2024
Architecture & Design

Ownership and Human Involvement in Interface Design

Good interface design is a complex engineering challenge with many dimensions. This article explores the key dimensions of Ownership and whether a Human is involved.

George Panagiotopoulos
on Jun 27, 2024
Culture & Methods

Using Generative AI in Software Project Management to Bridge Domains and Accelerate Productivity

Gen AI Assistants play to the strengths of professionals with a breadth of experience, particularly software developers who can describe what they want the LLM to complete and critically evaluate the result. These tools enable us to swiftly cross divides of domain language and scale large repetitive tasks down to interesting ones on a human scale.

Ken Judy
on Jun 19, 2024