LLM with Tensor Decompositions SGD - Search Videos

Running LLMs with TensorRT-LLM on Nvidia Jetson AGX Orin

Running LLMs with TensorRT-LLM on Nvidia Jetson AGX Orin

Stochastic Gradient Descent (SGD) is an optimization technique used to reduce a model’s loss and improve its performance. A good way to imagine it is like walking down a hill to reach the lowest point. The gradient tells you the slope and the direction to move downward. But instead of looking at the entire landscape (the full dataset), SGD looks at small random batches of data to estimate the slope at each step. Because it works with smaller samples, the updates are quicker and more frequent, al

Stochastic Gradient Descent (SGD) is an optimization technique used to reduce a model’s loss and improve its performance. A good way to imagine it is like walking down a hill to reach the lowest point. The gradient tells you the slope and the direction to move downward. But instead of looking at the entire landscape (the full dataset), SGD looks at small random batches of data to estimate the slope at each step. Because it works with smaller samples, the updates are quicker and more frequent, al

17.6K views5 months ago

FacebookMohit Rathod

Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows

Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows

The largest decentralised LLM pre-training run in history.SN3 @tplr_ai trained Covenant-72B across 70+ contributors on open internet infrastructure.Now it’s being discussed by @chamath with @nvidia CEO Jensen Huang.Distributed, open-weight model training on Bittensor is getting started.

The largest decentralised LLM pre-training run in history.SN3 @tplr_ai trained Covenant-72B across 70+ contributors on open internet infrastructure.Now it’s being discussed by @chamath with @nvidia CEO Jensen Huang.Distributed, open-weight model training on Bittensor is getting started.

120.1K views2 months ago

x.comOpenτensor Foundaτion

Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

Real-World PyTorch: From Zero to Hero in Deep Learning & LLMs | Tensors, Operations, Model Training

Real-World PyTorch: From Zero to Hero in Deep Learning & LLMs | Tensors, Operations, Model Training

4K viewsMar 17, 2024

YouTubeVenelin Valkov

Applied Linear Algebra: Implementing Tensor Decompositions

Applied Linear Algebra: Implementing Tensor Decompositions

7.3K viewsDec 5, 2020

YouTubeNathan Kutz

Live Coding: Finalizing Custom Memory Allocator for Tensors and LLM Projections | Part 1

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Fine Tuning an LLM for Knowledge Graphs (Using LoRA!) 🧠 #DataScience #LLM

4 views2 months ago

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All Machine learning optimizers - ADAM,ADAgrad, Momentum, SGD applications for LLM in 9 minutes

60 views6 months ago

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Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition Tamara Kolda

118 viewsSep 29, 2022

bilibiliLynn_Huang1999

Rong Ge: "Beyond Lazy Training for Over-parameterized Tensor Decomposition"

535 viewsMay 28, 2021

YouTubeInstitute for Pure & Applied Mathematics (IPAM)

Optimization in Machine Learning: Lecture 6.2 (SGD for Deep Learning)

531 viewsMar 6, 2021

Monday Webinar - Generalized Tensor Decomposition. Utility for Data Analysis

3.6K viewsJul 3, 2023

YouTubeChemometrics & Machine Learning in Copenha…

1. Structured Decomposition for LLM Reasoning

10 views4 months ago

YouTubeYodha Returns

Tamara Kolda - Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition

1.5K viewsFeb 5, 2021

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Ankur Moitra: "Tensor Decompositions and their Applications (Part 1/2)"

7.8K viewsMar 24, 2021

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TSP: Memory-Efficient Parallelism for LLMs

YouTubeAI Research Roundup

[GGML] Machine learning Tensor Library. GGUF and Quantization for Edge LLM model Inference.

971 views7 months ago

YouTubeByte Goose AI.

Tensor Decompositions: A Quick Tour of Illustrative Applications

7.1K viewsMar 21, 2024

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LLM Inference Optimization #2: Tensor, Data & Expert Parallelism (TP, DP, EP, MoE)

3.6K views7 months ago

YouTubeFaradawn Yang

Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou

32.9K viewsJan 1, 2025

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lec5 18409 - Tensor Decompositions

3.7K viewsMar 1, 2015

YouTubeBrando Miranda

How LoRA Actually Works in LLMs 🧠 (Math Explained) #MachineLearning #LoRA #datascience #llm

1K views2 months ago

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LLM Parallelism Explained: Data, Tensor, Pipeline & More

81 views3 months ago

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Block Tensor Ring Decomposition: Theory and Application

Ankur Moitra: "Tensor Decompositions and their Applications (Part 2/2)"

2.5K viewsMar 24, 2021

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The Tensor Solution | Tensor Decompositions for Multimodal AI

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Event Tensor: Faster LLM Inference via Megakernels

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Magma: Masked Updates for Better LLM Training

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