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Natural Language Processing (NLP) Engineer: Responsibilities & Roadmap

Unite.AI

Natural Language Processing , commonly referred to as NLP, is a field at the intersection of computer science, artificial intelligence, and linguistics. By exploring these elements, individuals considering a career in NLP can make informed decisions about their future and understand the steps required to excel as an NLP Engineer.

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AI Engineers: Your Definitive Career Roadmap

Towards AI

These statistics only show a glimpse of the opportunities the AI-based job market brings to engineers wanting to pursue a career in the US. Day in the Life of an AI engineer AI engineers work in various industries as specialists in data science, software engineering, and programming.

professionals

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Yihnew Eshetu is a Senior Director of AI Engineering at Octus, leading the development of AI solutions at scale to address complex business problems. With seven years of experience in AI/ML, his expertise spans GenAI and NLP, specializing in designing and deploying agentic AI systems.

DevOps 100
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2024 Layoffs and LLMs: Pivoting for Success

The MLOps Blog

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Data scientists and NLP specialists can move towards analytical roles or into engineering to stay relevant. This decision impacts both jobs and project continuity.

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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning Blog

Evaluation and continuous learning The model customization and preference alignment is not a one-time effort. Yunfei has a PhD in Electronic and Electrical Engineering. His area of research is all things natural language (like NLP, NLU, and NLG). Outside of work, Yunfei enjoys reading and music.

LLM 85
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Generative AI Trends: Transforming Business and Shaping Future

Chatbots Life

Photo by Alexey Ruban on Unsplash NLP Technology and Multimodal AI Generative AI is also enhancing Natural Language Processing (NLP). In NLP, multimodal models help with language translation, sentiment analysis, and chatbot development. Chatbots powered by Generative AI can continuously learn from user interactions.

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Discover Best AI and Machine Learning Courses For Your Career

Pickl AI

Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation. In this fast-evolving field, continuous learning and upskilling are crucial for staying relevant and competitive. Practical applications in NLP, computer vision, and robotics.