Yannic Kilcher
Источник верифицирован
Технологии
Канал Yannic Kilcher — 387 видео в базе знаний, категория: tech.
В базе с March 2026
387
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Методички канала
AlphaFold 2: как ИИ совершил революцию в биологии и предсказании структуры белков
Освойте Vision Transformers (ViT): преобразуйте архитектуру нейросетей для глубокого обучения изображений
Мастерство общения с ИИ: от промпт-инжиниринга до преодоления ограничений ChatGPT
Архитектура Трансформер: освойте механизм внимания и сократите путь обработки данных
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)