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computer vision
Active Contours Camera Models Color Edge Detection Histogram of Oriented Gradients Hough Transform Image Features Image Segmentation Instance Segmentation Linear Filters Object Detection Optical Flow Patch Extraction Sampling and Aliasing Scale Invariant Feature Transforms Segmentation via Clustering Stereo Vision Transformers for Computer Vision
gpu programming
CUDA Architecture CUDA Memory Architecture GPU Pattern: Convolution GPU Pattern: Parallel Histogram GPU Pattern: Parallel Scan GPU Pattern: Reduction GPU Pattern: Stencils Heterogeneous Data Parallel Computing Introduction to GPGPU Programming Multidimensional Grids and Data Parallel Sorting Algorithms Profiling CUDA Applications Sparse Matrix Computation
machine learning
Boosting Clustering Convolutional Neural Networks Decision Trees Fine-Tuning LLMs Gradient Boosting Kernels Linear Discriminant Analysis Linear Regression Logistic Regression Markov Decision Processes Naive Bayes Neural Networks Perceptron Policy Gradient Methods Positional Encoding Pretraining Large Language Models Probability Theory Regularization Reinforcement Learning Sequential Minimal Optimization Support Vector Machine
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//Llms

Using RAG to Talk to Your Data
  • 10 Oct 2024
  • Article, Llms, Rag, Machine Learning

Using RAG to Talk to Your Data

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  • 08 Jun 2024
  • Llms, Deep Learning

Low Rank Adaptation

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The Language of LLMs
  • 11 Apr 2024
  • Article, Machine Learning, Llms

The Language of LLMs

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  • 06 Nov 2022
  • Deep Learning, Llms

Transformers

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