Table of Contents The Rapid Expansion of AI and LLMs Challenges and Risks Facing Developers Impact of LLMs on the Job Market Career Roadmap for Developers in the Age of AI Why Becoming a Deeploper Represents a Fundamental Shift Shifting Mindset from Developer to Deeploper Role Example: Deeploper as a Software Engineer Deeploper and Open-Source Models LLManism and LLMan: A New Movement Deeploper and LLManism LLManism in the Agentic Era LLMan: More Than a Robotic Call-to-Action Tool Deeploper and the Use of SLMs Deeploper: The Lead Tech of AI Deeploper and DevOps: The Rise of DeepOps Conclusion The rapid expansion of Artificial Intelligence (AI) and Large Language Models (LLMs) has catalyzed the emergence of a new professional profile: the Deeploper. While traditional developers rely on established tools and wo...

DeepL: The Evolution of AI-Powered Translation DeepL: The Evolution of AI-Powered Translation Introduction In the ever-expanding world of artificial intelligence (AI), translation technologies have become indispensable tools for businesses, researchers, and individuals. DeepL, a company founded in 2017, has emerged as a leader in AI-driven translation services, renowned for its accuracy and natural language processing capabilities. This article explores DeepL's origins, technology, advantages over competitors, and its broader implications in the field of machine translation. Origins and Development DeepL was developed by the creators of Linguee, a multilingual online dictionary and translation search engine launched in 2009. Building upon their experience in language models, the DeepL team leveraged AI advancements to create a neural network-based translation engine. Unlike traditional rule-based or statistical machine t...