AI Trends to           Follow in 2024

10

Insights for Developers

The integration of various data types, such as text, images, and voice, into AI models for a more comprehensive understanding.

1

Multimodal AI

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Open source AI

Continued growth in the development and use of open-source AI frameworks, fostering collaboration and innovation.

2

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Retrieval-augmented generation

3

Advancements in AI models that combine retrieval and generation techniques, improving content generation based on relevant information retrieval.

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Ethical AI

4

Increasing focus on ethical considerations in AI development to minimize bias, increase transparency, and ensure responsible use of AI technologies.

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5

AI In Customer Service

AI integration into customer service operations, automating routine tasks and enhancing personalized solutions.

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Integration of AI tools to augment human capabilities in various professions, enhancing efficiency and safety in tasks.

6

Augmented Working

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AI-Augmented Apps

Expansion of generative AI functionality in software and applications, improving customer experience and resolving privacy concerns.

7

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Low-Code And No-Code Software Engineering

8

Rise in the use of low-code and no-code tools, facilitated by generative AI, making application development more accessible to a broader audience.

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AI Jobs

Diversification of AI-related job opportunities beyond traditional computer science roles, including prompt engineers, AI managers, and ethicists.

9

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AI Legislation

10

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Development and implementation of AI-related regulations globally, addressing issues like privacy, job displacement, and ethical concerns.

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