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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. It focuses on enabling computers to understand, interpret, and generate human language.

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Mastering MLOps : The Ultimate Guide to Become a MLOps Engineer in 2024

Unite.AI

If you're fascinated by the intersection of ML and software engineering, and you thrive on tackling complex challenges, a career as an MLOps Engineer might be the perfect fit. Understanding MLOps Before delving into the intricacies of becoming an MLOps Engineer, it's crucial to understand the concept of MLOps itself.

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The future of productivity agents with NinjaTech AI and AWS Trainium

AWS Machine Learning Blog

These agents can break down complicated, multi-step tasks into branched solutions, and are capable of evaluating the generated solutions dynamically while continually learning from past experiences. Tahir Azim is a Staff Software Engineer at NinjaTech. MyNinja.ai Tengfei Xue is an Applied Scientist at NinjaTech AI.

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

AWS Machine Learning Blog

Amazon Bedrock Guardrails implements content filtering and safety checks as part of the query processing pipeline. Anthropic Claude LLM performs the natural language processing, generating responses that are then returned to the web application.

DevOps 97
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2024 Layoffs and LLMs: Pivoting for Success

The MLOps Blog

The rapid advancements of Large Language Models (LLMs) are changing the day-to-day work of ML practitioners and how company leadership thinks about AI. Are LLMs entirely overtaking AI and natural language processing (NLP)? Another possibility is to move towards software engineering.

NLP 59
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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning Blog

There are various techniques of preference alignment, including proximal policy optimization (PPO), direct preference optimization (DPO), odds ratio policy optimization (ORPO), group relative policy optimization (GRPO), and other algorithms, that can be used in this process. He is responsible for Curriculum Development for Advanced Modules.

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Machine Learning Engineer – Role, Salary and Future Insights

Pickl AI

Tech companies, they might focus on developing recommendation systems, fraud detection algorithms, or Natural Language Processing tools. Their work environments are typically collaborative, involving teamwork with Data Scientists, software engineers, and product managers. Platforms like Pickl.AI