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What Is Prompt Engineering? Definition, Elements, Techniques, Applications, and Benefits

IT Toolbox

Prompt engineering is the process of giving instructions to a generative AI to produce requested results. From content generation to code generation, prompt engineering offers endless possibilities. Explore the latest innovations in prompt engineering and discover how it is shaping the future of AI.

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What Is Nanotechnology? Definition, Applications, and Use Cases

IT Toolbox

Nanotechnology is the process of engineering materials at the atomic or molecular scale. Definition, Applications, and Use Cases appeared first on Spiceworks. The post What Is Nanotechnology?

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Engineering Metrics Is The Elephant In The Room

Forrester IT

With the growth of generative AI, developer productivity is on everyone's mind these days. But measuring developer productivity is challenging. Learn how focusing on alignment can help eliminate the elephant in the room.

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Platform Engineer: Job Description, Key Skills, and Salary in 2023

IT Toolbox

A platform engineer builds and supports a platform that acts as a shared framework for application development. The post Platform Engineer: Job Description, Key Skills, and Salary in 2023 appeared first on Spiceworks.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Blockchain Engineer: Job Description, Key Skills, and Salary in 2022

IT Toolbox

A blockchain engineer develops and operates decentralized applications that use distributed ledger technology. The post Blockchain Engineer: Job Description, Key Skills, and Salary in 2022 appeared first on.

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Announcing The Modern Application Development Services Wave, Q1 2025

Forrester IT

MAD Services Deliver Cool New Products Whilst Transforming Your Development Capabilities Modern Application Development (MAD) services represent the next wave in custom application development services.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability. Prioritize engineering work by putting it in the context of end user experience.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.