НИС Современный ML (ИИ24, 7 модуль)

О курсе

Занятия проводятся в Zoom по вторникам в 19:40.

Контакты

Преподаватель: Петр Гринберг

Материалы курса

Ссылка на плейлист курса на YouTube: YouTube Playlist

Номер занятия	Лекция / Разбираемая статья
1	Создание презентаций и рассказ докладов
2	ToolGen: Unified Tool Retrieval and Calling via Generation
	Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
	Visual Instruction Tuning
3	Scalable Diffusion Models with Transformers
	Direct Preference Optimization: Your Language Model is Secretly a Reward Model
	Graph Attention Networks
4	Voyager: An Open-Ended Embodied Agent with Large Language Models
	VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks
	ReAct: Synergizing Reasoning and Acting in Language Models
5	On Efficient Distillation from LLMs to SLMs
	Efficiently Modeling Long Sequences with Structured State Spaces
	Efficient Memory Management for Large Language Model Serving with PagedAttention
6	Large Language Diffusion Models
	Toolformer: Language Models Can Teach Themselves to Use Tools
	Fast Inference from Transformers via Speculative Decoding
7	Инструкция по написанию научных текстов
8	ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
	The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
	Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
9	Предзащита ВКР
	Предзащита ВКР
10	Предзащита ВКР
	Предзащита ВКР
	Предзащита ВКР

Формула оценивания

Накопленная = 0.4 * О_Квиз + 0.4 * О_Видео + 0.1 * О_Ревью + 0.1 * О_Мета-Ревью

Оценка = 10 если Накопленная >= 5, иначе 0.

О_Ревью и О_Мета-Ревью блокирующие.