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Всего 1,401 видео·Страница 18 из 39
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Страница 18 из 39▶ YouTube — ISSAI (Nazarbayev University)
We followed the penguin and figured out where he was heading so determinedly!
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▶ YouTube — ISSAI (Nazarbayev University)
Mnagisoz 3.1— the next step toward truly human-sounding AI voices
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▶ YouTube — ISSAI (Nazarbayev University)
ISSAI Researchers Publish AI-Powered Mixed Reality Hand Hygiene Training Study in IEEE TVCG
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▶ YouTube — ISSAI (Nazarbayev University)
A Honeycomb-Inspired Soft Robotic Gripper with Intrinsic Adaptive Control
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▶ YouTube — ISSAI (Nazarbayev University)
ISSAI Voice Studio – the next generation of speech AI technologies.
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▶ YouTube — Yannic Kilcher
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
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▶ YouTube — Yannic Kilcher
ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)
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▶ YouTube — Yannic Kilcher
[ML News] OpenAI is in hot waters (GPT-4o, Ilya Leaving, Scarlett Johansson legal action)
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▶ YouTube — Yannic Kilcher
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained)
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▶ YouTube — Yannic Kilcher
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)
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▶ YouTube — Yannic Kilcher
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)
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▶ YouTube — Yannic Kilcher
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
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▶ YouTube — Yannic Kilcher
Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained)
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▶ YouTube — Yannic Kilcher
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)
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▶ YouTube — Yannic Kilcher
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)
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▶ YouTube — Yannic Kilcher
[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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▶ YouTube — Yannic Kilcher
Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)
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▶ YouTube — Yannic Kilcher
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)
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▶ YouTube — Yannic Kilcher
[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)
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