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AI, ML & Data Engineering

Efficient Resource Management with Small Language Models (SLMs) in Edge Computing

Small Language Models (SLMs) bring AI inference to the edge without overwhelming the resource-constrained devices. In this article, author Suruchi Shah dives into how SLMs can be used in edge computing applications for learning and adapting to patterns in real-time, reducing the computational burden and making edge devices smarter.

Suruchi Shah
on Nov 11, 2024
AI, ML & Data Engineering

Being a Responsible Developer in the Age of AI Hype

Justin Sheehy emphasizes that AI is code, not magic, and warns against inflated claims about AI capabilities. He urges developers to approach AI with healthy skepticism, seeking verifiable evidence and focusing on ethical practices, including addressing bias, privacy, and data integrity. Clear communication about AI’s limitations and accountable use are essential to prevent hype and misuse.

Justin Sheehy
on Nov 06, 2024
AI, ML & Data Engineering

Virtual Panel: What to Consider When Adopting Large Language Models

Four experts discuss some issues people should think about when adopting LLMs and how they can make the best choice for their specific use case. Topics include how to choose between an API-based vs. self-hosted LLM, when to fine-tune an LLM, how to mitigate LLM risks, and what non-technical changes organizations need to make when adopting LLMs.

Anthony Alford Meryem Arik Numa Dhamani Maggie Engler Tingyi Li
on Oct 01, 2024
AI, ML & Data Engineering

Navigating LLM Deployment: Tips, Tricks, and Techniques

This article focuses on self-hosted LLMs and how to get the best performance from them. The author provides best practices on how to overcome challenges due to model size, GPU scarcity, and a rapidly evolving field.

Meryem Arik
on Sep 24, 2024
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