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Discover how LLaVA pioneered instruction-tuned multimodal AI, combining language and vision capabilities to create a groundbreaking Large Multimodal Model for advanced visual understanding and interaction.
Explore quantization techniques in deep learning, from uniform to non-uniform approaches, and learn practical implementation strategies for optimizing large-scale neural networks.
Discover Microsoft's Phi-1.5, a compact yet powerful transformer-based language model that achieves remarkable performance despite its smaller size compared to other recent LLMs.
Dive into Microsoft's LongNet transformer architecture, exploring how dilated attention mechanisms enable processing of billion-token sequences and advance the field towards artificial general intelligence.
Explore DeepMind's RT2 model and discover how it bridges language models with robotics to enable intelligent reasoning and action in autonomous systems.
Explore various free user interfaces for running LLAMA 2, including official demo app parameters and multiple platform options - perfect for non-technical users getting started with AI language models.
Discover Meta's LLAMA 2 language model, its training process, and implementation. Learn about its commercial-use features, RLHF training, Grouped-Query Attention, and how to set it up locally.
Explore how Orca LLM achieves ChatGPT-level reasoning capabilities with just 13B parameters through innovative explanation tuning and advanced training strategies.
Delve into Meta AI's MusicGen architecture, exploring vector quantization, melody conditioning, and interleaving patterns for high-quality AI music generation in just 13 minutes.
Explore Meta AI's ImageBind technology and its groundbreaking approach to unified AI learning across six modalities, from technical architecture to practical applications and results.
Delve into Meta AI's DINOv2 architecture, exploring its data pipeline, training methodology, and innovative features for robust visual processing without supervision in just 12 minutes.
Dive into Meta AI's Segment Anything Model (SAM), exploring its architecture, innovative data engine, and zero-shot transfer learning capabilities for advanced image segmentation tasks.
Master ChatGPT's Python API capabilities through hands-on demonstrations of text completion, chat, image generation, and speech features, culminating in building a Streamlit demo application.
Delve into the technical foundations and training methodology behind ChatGPT, exploring its model architecture, reinforcement learning principles, and step-by-step training process.
Dive into Meta's MovieGen AI model's architecture, training pipeline, and innovative features for revolutionary video generation, including temporal auto-encoding and superresolution techniques.
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