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Generative AI – The End of Empty Textboxes

TechEmpower Innovation

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. The information provided was all pulled from data he’s already entered - just Mark, Houston, Math Teacher, Teach for America.

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What We Mean When We Say “Machine Learning”

IdeaScale

So in this article we will address a new emerging theme: machine learning and try to answer the question “ who learns faster, a machine or an human?” How does a machine learn? The way machines learn is a buzzword in the current innovation and technology industry. Who learns faster?

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Goodhart’s Law: When a target becomes its own enemy

Idea to Value

One area where Goodhart’s Law gets even more dangerous is in target-based software development, especially Artificial Intelligence and Machine Learning. If humans set a specific target for an Artificial Intelligence system, it will try everything it can to optimise its performance to meet that target.

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Maximizing Efficiency & Productivity: 3 Ways GenAI Optimizes Value Stream Management for Tech Leaders 

Planview

With the ability to analyze and interpret complex data, genAI has enabled both greater widespread VSM adoption and overall productivity and efficiency in the workplace. In essence, AI models can take inputs in various forms and generate new content based on the modality of the model. What is genAI?

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Making a Case for Digital Forensics

Business and Tech

The contents are updated and there are the beginnings of subjects like ethics and software development life cycle, but the bulk is still algorithms, coding, and platforms. Although there are exciting developments in machine learning, the broad topic of artificial intelligence dates back to the 1950s.

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Exploring High-Growth Opportunities in Software Engineering

Tullio Siragusa

The software industry is constantly evolving, and there are always new technologies and programming languages to learn, such as cloud computing, AI, blockchain, and machine learning. Developing and integrating IoT software platforms for device management, data analytics, and visualization.

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Key Technology Trends to Watch in 2023: From AI and 5G to Quantum Computing and Cybersecurity

Tullio Siragusa

The Trends Artificial Intelligence and Machine Learning AI and ML are expected to continue to be integrated into a wide range of industries, from healthcare to finance to retail, to improve efficiency and productivity.