Yannic Kilcher
Источник верифицирован
Технологии
Канал Yannic Kilcher — 387 видео в базе знаний, категория: tech.
В базе с March 2026
387
видео в базе
15
методичек
319K
подписчиков
387
Видео
15
Методичек
13.6M
Просмотров
Методички канала
Все 15 →Создайте свой ИИ-ассистент: пошаговое руководство по вкладу в OpenAssistant
Освойте методологию Tree of Thoughts: как превратить LLM в систему для решения сложных алгоритмических задач
Автоматизируйте перевод кода между языками программирования с помощью Unsupervised TransCoder
Освойте мощь OpenAssistant: Как использовать и внедрять передовые open-source языковые модели
Освойте архитектуру DINO: создавайте модели компьютерного зрения без меток
Освоение диффузионных моделей: как создавать изображения высокого качества, превосходящие GAN
Видео в базе
387 видео
I BUILT A FULLY AUTOMATIC MANSPLAINER
Traditional X-Mas Stream
TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis)
Titans: Learning to Memorize at Test Time (Paper Analysis)
![[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)](/thumbnail/Nao16-6l6dQ.jpg)
[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)
![[Video Response] What Cloudflare's code mode misses about MCP and tool calling](/thumbnail/0bpYCxv2qhw.jpg)
[Video Response] What Cloudflare's code mode misses about MCP and tool calling
![[Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)](/thumbnail/zKohTkN0Fyk.jpg)
[Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)
AGI is not coming!
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)
Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)
On the Biology of a Large Language Model (Part 2)
On the Biology of a Large Language Model (Part 1)
![[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](/thumbnail/bAWV_yrqx4w.jpg)
[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)
Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained)
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Were RNNs All We Needed? (Paper Explained)
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)
Scalable MatMul-free Language Modeling (Paper Explained)
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained)
xLSTM: Extended Long Short-Term Memory
![[ML News] OpenAI is in hot waters (GPT-4o, Ilya Leaving, Scarlett Johansson legal action)](/thumbnail/5bPBbQyLI7E.jpg)