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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
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
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

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
Development

Experimenting with LLMs for Developer Productivity

This article describes an experiment that sought to determine if no-cost LLM-based code generation tools can improve developer productivity. The experiment evaluated several LLMs by generating unit tests for some open-source code and measuring the code coverage as well as the manual rework necessary to make the tests work.

Glenn Engstrand
on May 21, 2024
Culture & Methods

InfoQ Culture & Methods Trends Report - April 2024

The Culture and Methods trends report discusses evolving roles within teams, the way the staff plus roles are able to add value, the use and misuse of DevEx metrics, how remote work continues to evolve, a lack of diversity is still a challenge, and the need to move from climate change awareness to climate conscious software engineering.

Shane Hastie Jutta Eckstein Ben Linders Susan McIntosh Rafiq Gemmail Craig Smith
on Apr 09, 2024
Architecture & Design

Article Contest: Write an Article for InfoQ and Win a QCon or Dev Summit Ticket

InfoQ encourages software practitioners and domain experts to submit full-length technical educational articles.

InfoQ
on Apr 08, 2024
Architecture & Design

InfoQ Software Architecture and Design Trends Report - April 2024

The InfoQ Trends Reports offer InfoQ readers a comprehensive overview of key topics worthy of attention. The reports also guide the InfoQ editorial team towards cutting-edge technologies in our reporting. In conjunction with the report and trends graph, our accompanying podcast features insightful discussions among the editors digging deeper into some of the trends.

Thomas Betts Blanca Garcia Gil Eran Stiller Daniel Bryant Rafal Gancarz
on Apr 05, 2024
AI, ML & Data Engineering

Adding a Natural Language Interface to Your Application

In this article, author Ashley Davis discusses how to add a natural language interface to a chatbot application using OpenAI REST API. He also shows how to extend the chatbot by adding voice commands using MediaRecorder API and OpenAI's speech transcription API.

Ashley Davis
on Apr 02, 2024
Culture & Methods

Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality

When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation. The data used in training is where the functionality is ultimately defined, and that is where you will find your issues and bugs.

Martin Karsberg
on Mar 07, 2024