Tubidy

    BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation

    46:41•29,085x

    If you find several Ads windows appear, just Close the Ads and return to this page, then click the "Download" button again, the Download process will start immediately!

    Sorry for showing a lot of ads, we need to make money to pay for the server and keep the tubidy service running smoothly. We apologize for the inconvenience, Your patience is greatly appreciated!

    Download Now

    Download Other Music/Videos

    You Might Also Like

    Were RNNs All We Needed? (Paper Explained)

    Were RNNs All We Needed? (Paper Explained)

    GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

    GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

    Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained)

    Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained)

    Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)

    Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)

    Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)

    Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)

    Scalable MatMul-free Language Modeling (Paper Explained)

    Scalable MatMul-free Language Modeling (Paper Explained)

    TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)

    TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)

    Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)

    Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)

    Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)

    Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)

    Yannic Kilcher Interview (Part 1)

    Yannic Kilcher Interview (Part 1)

    Flow Matching for Generative Modeling (Paper Explained)

    Flow Matching for Generative Modeling (Paper Explained)

    An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)

    An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)

    xLSTM: Extended Long Short-Term Memory

    xLSTM: Extended Long Short-Term Memory

    Attention Is All You Need

    Attention Is All You Need

    OpenAI CLIP: ConnectingText and Images (Paper Explained)

    OpenAI CLIP: ConnectingText and Images (Paper Explained)

    DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

    DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

    V-JEPA: Revisiting Feature Prediction for Learning Visual Representations from Video (Explained)

    V-JEPA: Revisiting Feature Prediction for Learning Visual Representations from Video (Explained)

    Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

    Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

    JEPA - A Path Towards Autonomous Machine Intelligence (Paper Explained)

    JEPA - A Path Towards Autonomous Machine Intelligence (Paper Explained)

    Decision Transformer: Reinforcement Learning via Sequence Modeling (Research Paper Explained)

    Decision Transformer: Reinforcement Learning via Sequence Modeling (Research Paper Explained)