Leveraging Pruning and Quantization for Efficient Real-Time Audio Applications
Explore pruning and quantization techniques to enhance efficiency of complex audio models for real-time processing in resource-constrained environments. Gain insights into model compression for audio applications.
Signal and Noise - Lecture 14
Explore signal and noise concepts in this concise lecture, enhancing your understanding of fundamental principles in signal processing.
Signals in the Physical World - Lecture 15
Explore signals in the physical world, examining their characteristics, types, and applications in various scientific and engineering domains.
Helmut Bölcskei - Lossy Compression on General Data Structures
Explore lossy compression for data on manifolds and fractals, with bounds on rate-distortion function and quantization error. Applications in data science and image processing.
LLMOps: Quantization Models and Inference with ONNX Generative Runtime
Explore ONNX runtime GPU support for inference with generative models, including Phi3-mini quantization and conversion techniques.
Understanding Audio Signals for Machine Learning
Explore audio digital signals, analog-to-digital conversion, and key concepts like sampling, quantization, and aliasing for machine learning applications.
Stability Structures in Holomorphic Morse-Novikov Theory
Explore complex symplectic manifolds, Floer theory, and Morse-Novikov theory. Delve into analytic questions of convergence and generalization to almost-complex cases in this advanced mathematical lecture.
Yiannis Sakellaridis- Spherical Varieties, Functoriality, and Quantization
Explore spherical varieties, functoriality, and quantization in algebraic geometry and representation theory with Yiannis Sakellaridis' advanced mathematical lecture.
Topological Recursion and Quantum Curves
Explore quantisation of moduli spaces through topological recursion and quantum curves with expert B. Eynard from IPHT CEA Saclay.
Symplectic Geometry of the Teichmueller Space of Hyperbolic 0-Metric
Explore symplectic geometry of Teichmueller space for hyperbolic 0-metric, delving into quantisation of moduli spaces from various perspectives.
Topological Recursion, Resurgence and BPS Structure
Explore quantisation of moduli spaces through topological recursion, resurgence, and BPS structure with K. Iwaki from the University of Tokyo.
Integrable Sigma Models at RG Fixed Points - Quantisation as Affine Gaudin Models
Explores recent advances in integrable models, focusing on quantization as affine Gaudin models. Covers topics from mathematical physics, condensed matter, and string theory, offering insights for researchers across various backgrounds.
Which Physical Systems Can Be Quantized?
Explore quantum mechanics applications in physical systems, focusing on Hamiltonian geometry and quantization techniques for various phenomena in mathematical physics.
Integrable Sigma Models at RG Fixed Points: Quantisation as Affine Gaudin Models
Explore integrable sigma models at RG fixed points and their quantization as affine Gaudin models in condensed matter physics and quantum field theory.
Combinatorial Quantization and BV Structures of Moduli of Flat Connections - Part 1
Explore quantization of moduli spaces through combinatorial methods and BV structures, focusing on flat connections in mathematical physics.
Quantum Analytic Langlands - Quantisation of Moduli Spaces
Explore quantisation of moduli spaces through diverse perspectives, delving into the intricacies of Quantum Analytic Langlands theory.
Autonomous Nano-UAVs: An Extreme Edge Computing Case
Exploring autonomous nano-UAVs as extreme edge computing cases, focusing on onboard intelligence, machine learning techniques, and full-stack solutions for navigation and human-robot interaction in resource-constrained environments.
The Akida Neural Processor - Low Power CNN Inference and Learning
Explore Akida Neural Processor's low-power CNN inference and edge learning capabilities, featuring event-based computing and on-chip learning for visual and auditory applications.
Overcoming Challenges in Serving Large Language Models - SREcon23 Europe/Middle East/Africa
Explore hosting GPT models in Kubernetes, covering GPU sharding, tensor parallelism, and model optimization. Learn trade-offs between latency, accuracy, and resource allocation, with a live demo showcasing performance.
Coding RLHF on LLama 2 with LoRA, 4-bit Quantization, TRL and DPO
Master advanced LLM fine-tuning techniques using RLHF, implementing DPO and PPO methods on Llama models with 4-bit quantization and LoRA for optimized performance and human feedback integration.
Understanding 4-bit Quantization and QLoRA - Memory Efficient Fine-tuning of LLMs
Dive into memory-efficient fine-tuning of large language models through 4-bit quantization and QLoRA, combining theoretical foundations with practical implementation in Colab.