Generative AI in Scholarly Publishing – Exploring Opportunities & Addressing Threats

Generative ai introduction

Introduction

The world of investment in Generative AI is propelling the advancement of AI models such as ChatGPT, LLaMA, and BERT. Through developments in deep learning techniques, computational power, and vast training data, the progress in Generative AI continues to soar, enhancing its abilities to produce increasingly sophisticated and human-like outputs.

From tailored virtual assistants and recommendation systems to self-driving cars and intelligent homes, AI technologies are set to permeate diverse industries. The influence of AI will extend beyond individual interactions, fundamentally shaping societal, economic, and cultural landscapes.

About the Whitepaper

Our whitepaper delves deep into the transformative potential and challenges of Generative AI within scholarly publishing. Some key highlights of the paper include:

In-depth insights into the evolution of language models

Exploration of diverse models and their real-world applications

Addressing concerns related to misinformation, plagiarism, authorship, deepfakes, and ethical considerations

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