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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning Blog

Intelligent insights and recommendations Using its large knowledge base and advanced natural language processing (NLP) capabilities, the LLM provides intelligent insights and recommendations based on the analyzed patient-physician interaction. These insights can include: Potential adverse event detection and reporting.

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AI Engineers: Your Definitive Career Roadmap

Towards AI

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Author(s): Jennifer Wales Originally published on Towards AI.

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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. The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components.

LLM 79
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Hyperparameter Optimization For LLMs: Advanced Strategies

The MLOps Blog

Its also an obstacle to continue model training later. Weight decay has been applied to transformer-based NLP models since the beginning. As ML Engineers, we can fine-tune temperature and sampling strategy parameters according to your project needs. p and k can be adjusted during training or inference time.)

LLM 64
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The 11 Top AI Influencers to Watch in 2024 (Guide)

Viso.ai

Each of these individuals serves as an inspiration for aspiring AI and ML engineers breaking into the field. At these events, she pushes her audiences to continue learning about AI and make data-driven decisions. We ranked these individuals in reverse chronological order.

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Unlocking the Power of Adaptive RAG Systems

ODSC - Open Data Science

Be sure to check out his talk, Adaptive RAG Systems with Knowledge Graphs: Building Reinforcement-Learning-Driven AI Applications , there! Imagine an AI assistant that doesnt just answer your questionsit understands the deeper context, adapts in real time, and continuously learns from interactions.

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