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共 1,477 个视频·第 18 页，共 42 页
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第 18 页，共 42 页▶ YouTube — ISSAI (Nazarbayev University)
A Honeycomb-Inspired Soft Robotic Gripper with Intrinsic Adaptive Control
#YouTube
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▶ YouTube — Digital Business KZ
Hunting Cyber-Crime Rings and Saving Lives with AI. Key Takeaways on Security from KSS Exhibition
#GPU & Суперкомпьютеры#YouTube
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▶ YouTube — Digital Business KZ
Foreigners in Kazakhstan: How to Become a New Hub for Talent
#Astana Hub#Digital Bridge
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▶ YouTube — ISSAI (Nazarbayev University)
ISSAI Voice Studio – the next generation of speech AI technologies.
#YouTube
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▶ YouTube — Digital Business KZ
Why AI Won't Replace Humans: Insights from Freedom CTO Renat Tukanov
#Google DeepMind#OpenAI
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▶ YouTube — Digital Business KZ
Banks in Kazakhstan to Face New Competition – CAFS 2026: Key Takeaways
#Робототехника#Илон Маск
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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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