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Quick Start Guide to Large Language Models (LLMs): Unit 3 · LearnSpace
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Quick Start Guide to Large Language Models (LLMs): Unit 3

Курс от Pearson
Средний≈ 8.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course explores building novel architectures tailored to unique challenges. You'll gain hands-on experience in building custom multimodal models that integrate visual and textual data, and learn to implement reinforcement learning for dynamic response refinement. Through practical case studies, you'll learn advanced fine-tuning techniques, such as mixed precision training and gradient accumulation, optimizing open-source models like BERT and GPT-2. Transitioning from theory to practice, the course also covers the complexities of deploying LLMs to the cloud, utilizing techniques like quantization and knowledge distillation for efficient, cost-effective models. By the end of this course, you'll be equipped with the skills to evaluate LLM tasks and deploy high-performing models.

Навыки, которые вы освоите

Model DeploymentFine-tuningModel OptimizationLarge Language ModelingMultimodal PromptsGenerative Model ArchitecturesReinforcement LearningImage AnalysisCloud DeploymentModel EvaluationModel TrainingVision Transformer (ViT)

Программа курса

1 модулей · 28 учебных материалов

01Advanced LLM Usage28 материалов

Moving Beyond Foundation Models

TopicsВидеоThe Vision TransformerВидеоUsing Cross Attention to Mix Data ModalitiesВидеоCase Study—Visual QA: Setting Up Our ModelВидеоCase Study—Visual QA: Setting Up Our Parameters and Data

Учитесь у экспертов

Pearson

Преподаватель курса

Sinan Ozdemir

AI Author, Speaker & Entrepreneur

Quick Start Guide to Large Language Models (LLMs): Unit 3
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 8.1 ч

1 модулей

Язык: Английский

Субтитры: Американский английский

Часть программы вашего университета
Видео
Introduction to Reinforcement Learning from FeedbackВидео
Aligning FLAN-T5 with Reinforcement Learning from FeedbackВидео
Moving Beyond Foundation Models QuizЗадание

Advanced Open-Source LLM Fine-Tuning

TopicsВидеоBERT for Multi-label Classification—Part 1ВидеоBERT for Multi-label Classification—Part 2ВидеоWriting LaTeX with GPT-2ВидеоCase Study: Sinan’s Attempt at Wise Yet Engaging Responses—SawyerВидеоInstruction Alignment of LLMs: Supervised Fine-TuningВидеоInstruction Alignment of LLMs: Reward ModelingВидеоInstruction Alignment of LLMs: RLHFВидеоInstruction Alignment of LLMs: Using Our Instruction-Aligned LLMВидеоAdvanced Open-Source LLM Fine-Tuning QuizЗадание

Moving LLMs into Production

TopicsВидеоCost Projecting and Deploying LLMs to ProductionВидеоKnowledge DistillationВидеоMoving LLMs into Production QuizЗадание

LLM Evaluations

TopicsВидеоEvaluating Generative Tasks—Part 1ВидеоEvaluating Generative Tasks—Part 2ВидеоEvaluating Understanding TasksВидеоProbing LLMs for World ModelВидео

Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs): Summary

End of Course AssessmentЗадание