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Всего 40 видео·Страница 1 из 2
Популярные YouTube-каналы и Видео про AI
Кураторская подборка подкастов, интервью, презентаций и видеоразборов от ведущих ИИ-экспертов Казахстана и мира
Каналы:Все каналы▶OpenAI Official111▶Google Research68▶Matthew Berman67▶Astana Hub Official65▶Microsoft Developer55▶Pixel Perfect50▶AI Master49▶Lex Fridman Podcast48▶AI Flash News47▶David Ondrej (AI Agents)45▶PyTorch Official43▶Matt Wolfe43▶Yannic Kilcher40▶IBM Technology AI39▶DeepLearning.AI38▶Hugging Face38▶Y Combinator AI37▶Armeta Kazakhstan37▶sentdex37▶Google Quantum AI35▶Fireship AI35▶ISSAI (Nazarbayev University)34▶The AI Grid34▶Andrej Karpathy33▶ProdAdvice32▶All About AI31▶Two Minute Papers31▶Wes Roth30▶Astar Acceptman30▶Artemii Miller AI28▶StatQuest AI27▶Amorev26▶Robotics & AI (KBTU)25▶Computerphile AI21▶freeCodeCamp AI20▶3Blue1Brown12▶Digital Business KZ11▶ISOFT Kazakhstan6▶Kazi AI3▶Kolesa Group Tech1▶NITEC (GovTech / NAIP)1
📺Yannic Kilcher
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▶ YouTube — Yannic Kilcher
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
#YouTube
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▶ YouTube — Yannic Kilcher
[ML News] Devin exposed | NeurIPS track for high school students
#Meta AI#YouTube
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▶ YouTube — Yannic Kilcher
ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)
#Meta AI#YouTube
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▶ YouTube — Yannic Kilcher
[ML News] OpenAI is in hot waters (GPT-4o, Ilya Leaving, Scarlett Johansson legal action)
#Anthropic#Microsoft
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▶ YouTube — Yannic Kilcher
Scalable MatMul-free Language Modeling (Paper Explained)
#Papers with Code#Microsoft
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▶ YouTube — Yannic Kilcher
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained)
#Google DeepMind#Meta AI
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▶ YouTube — Yannic Kilcher
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)
#Hugging Face#YouTube
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▶ YouTube — Yannic Kilcher
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)
#Google DeepMind#YouTube
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▶ YouTube — Yannic Kilcher
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
#Meta AI#YouTube
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▶ YouTube — Yannic Kilcher
Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained)
#Hugging Face#YouTube
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▶ YouTube — Yannic Kilcher
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)
#YouTube
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▶ YouTube — Yannic Kilcher
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)
#Meta AI#YouTube
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▶ YouTube — Yannic Kilcher
[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
#Google DeepMind#OpenAI
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▶ YouTube — Yannic Kilcher
Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)
#YouTube
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▶ YouTube — Yannic Kilcher
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)
#Google DeepMind#Anthropic
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▶ YouTube — Yannic Kilcher
[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)
#GPU & Суперкомпьютеры#YouTube
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▶ YouTube — Yannic Kilcher
[Video Response] What Cloudflare's code mode misses about MCP and tool calling
#YouTube
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▶ YouTube — Yannic Kilcher
[Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)
#YouTube
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▶ YouTube — Yannic Kilcher
TiDAR: Думайте диффузно, говорите авторегрессионно (анализ статьи)
#Nvidia#GPU & Суперкомпьютеры
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▶ YouTube — Yannic Kilcher
This game was made for robots, I played it anyway - Crafter Let's Play
#YouTube
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▶ YouTube — Yannic Kilcher
What is the Hardware Lottery? (Machine Learning Research Paper Explained by Yannic Kilcher) #Shorts
#arXiv#YouTube
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