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Rijul Rajesh

Dev | Technical Writer | 100k+ reads | Powered by ☕ and 🐧 Building https://hexmos.com/livereview/git-lrc

Joined on Nov 12, 2023 https://hexmos.com/livereview/git-lrc

Jun 15

PyTorch + Lightning AI for Neural Networks Part 1: Building Better Workflows

#ai #machinelearning

2 min read

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Jun 10

Pytorch for Neural Networks Part 10: Completing Training and Verifying the Results

#ai #machinelearning

2 min read

Jun 9

Pytorch for Neural Networks Part 9: Taking Steps Toward Better Predictions

#ai #machinelearning

2 min read

Jun 8

Pytorch for Neural Networks Part 8: Training with Multiple Inputs

#ai #machinelearning

2 min read

Jun 7

Pytorch for Neural Networks Part 7: Training with Loss and Derivatives

#ai #machinelearning

2 min read

Jun 6

Identity Federation Explained: Understanding SSO, OAuth, OIDC, and SAML

2 min read

Jun 5

Pytorch for Neural Networks Part 6: Understanding Epochs and Loss

#ai #machinelearning

2 min read

Jun 4

Pytorch for Neural Networks Part 5: Preparing the Model for Training

#ai #machinelearning

2 min read

Jun 2

Pytorch for Neural Networks Part 4: Testing the Neural Network

#ai #machinelearning

2 min read

Jun 1

Pytorch for Neural Networks Part 3: Forward Passes

#ai #machinelearning

2 min read

May 31

Pytorch for Neural Networks Part 2: Initializing Weights and Biases

#ai #machinelearning

2 min read

May 29

Pytorch for Neural Networks Part 1: Writing Your First Neural Network in Pytorch

#ai #machinelearning

2 min read

May 29

Tensors Explained Part 2: Why Tensors Are Useful

#ai #machinelearning

2 min read

May 27

Tensors Explained Part 1: How AI Systems Represent Data

#ai #machinelearning

1 min read

May 26

Understanding Reinforcement Learning with Human Feedback Part 6: How the Reward Model Trains the Original Model

#ai #machinelearning

2 min read

May 25

Understanding Reinforcement Learning with Human Feedback Part 5: Training the Reward Model with Loss Functions

#ai #machinelearning

2 min read

May 23

Understanding Reinforcement Learning with Human Feedback Part 4: Teaching Models Human Preferences

#ai #machinelearning

2 min read

May 20

Understanding Reinforcement Learning with Human Feedback Part 3: Collecting Human Preferences

#ai #machinelearning

2 min read

May 19

Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models

#ai #machinelearning

2 min read

May 18

Understanding Reinforcement Learning with Human Feedback Part 1: Pre-Training Large Language Models

#ai #machinelearning

2 min read

May 16

Understanding Reinforcement Learning with Neural Networks Part 6: Completing the Reinforcement Learning Process

#ai #machinelearning

2 min read

May 15

Understanding Reinforcement Learning with Neural Networks Part 5: Connecting Reward, Derivative, and Step Size

#ai #machinelearning

2 min read

May 13

Understanding Reinforcement Learning with Neural Networks Part 4: Positive and Negative Rewards

#ai #machinelearning

2 min read

May 11

Understanding Reinforcement Learning with Neural Networks Part 3: Guessing the Ideal Output

#ai #machinelearning

2 min read

May 10

Understanding Reinforcement Learning with Neural Networks Part 2: Why Backpropagation Is Not Enough

#ai #machinelearning

2 min read

May 8

Understanding Reinforcement Learning with Neural Networks Part 1: Learning Without Correct Answers

#ai #machinelearning

2 min read

May 7

Understanding Encoder-Only Transformers: The Foundation of BERT and RAG Retrieval

#ai #machinelearning

2 min read

May 6

Understanding Decoder-Only Transformers Part 2: Decoder-Only vs Regular Transformers

#ai #machinelearning

2 min read

May 5

Understanding Decoder-Only Transformers Part 1: Masked Self-Attention

#deeplearning #llm #nlp #tutorial

1 min read

May 4

Understanding Transformers Part 18: Completing the Decoding Process

#ai #machinelearning

2 min read

May 3

Understanding Multi-Head Attention in Transformers

#ai #machinelearning

2 min read

May 1

Understanding Transformers Part 17: Generating the Output Word

#ai #machinelearning

1 min read

Apr 29

Understanding Transformers – Part 16: Preparing for Output Prediction with Residual Connections

#ai #machinelearning

1 min read

Apr 28

Understanding Transformers Part 15: Scaling and Combining Values in Encoder–Decoder Attention

#ai #machinelearning

1 min read

Apr 26

Understanding Transformers Part 14: Calculating Encoder–Decoder Attention

#ai #machinelearning

2 min read

Apr 25

Understanding Transformers Part 13: Introducing Encoder–Decoder Attention

#deeplearning #machinelearning #nlp #tutorial

1 min read

Apr 23

Understanding Transformers Part 12: Building the Decoder Layers

#ai #machinelearning

2 min read

Apr 22

Understanding Transformers Part 11: How Decoding Begins

#ai #machinelearning

1 min read

Apr 21

Understanding Transformers Part 10: Final Step in Encoding

#ai #machinelearning

1 min read

Apr 17

Understanding Transformers Part 9: Stacking Self-Attention Layers

#ai #machinelearning

2 min read

Apr 16

Understanding Transformers Part 8: Shared Weights in Self-Attention

#ai #machinelearning

2 min read

Apr 15

Understanding Transformers Part 7: From Similarity Scores to Self-Attention

#ai #machinelearning

2 min read

Apr 13

Understanding Transformers Part 6: Calculating Similarity Between Queries and Keys

#ai #machinelearning

2 min read

Apr 11

Understanding Transformers Part 5: Queries, Keys, and Similarity

#ai #machinelearning

2 min read

Apr 9

Understanding Transformers Part 4: Introduction to Self-Attention

#ai #machinelearning

2 min read

Apr 8

Understanding Transformers Part 3: How Transformers Combine Meaning and Position

#ai #machinelearning

2 min read

Apr 6

Understanding Transformers Part 2: Positional Encoding with Sine and Cosine

#ai #machinelearning

2 min read

Apr 5

Understanding Transformers Part 1: How Transformers Understand Word Order

#ai #machinelearning

2 min read

Apr 4

Understanding Attention Mechanisms – Part 6: Final Step in Decoding

#ai #machinelearning

1 min read

Apr 1

Understanding Attention Mechanisms – Part 5: How Attention Produces the First Output

#ai #machinelearning

1 min read

Mar 31

Understanding Attention Mechanisms – Part 4: Turning Similarity Scores into Attention Weights

#ai #machinelearning

2 min read

Mar 30

Cosine Similarity vs Dot Product in Attention Mechanisms

#ai #machinelearning

1 min read

Mar 28

Understanding Attention Mechanisms – Part 3: From Cosine Similarity to Dot Product

#ai #machinelearning

2 min read

Mar 27

Understanding Attention Mechanisms – Part 2: Comparing Encoder and Decoder Outputs

#ai #machinelearning

2 min read

Mar 26

Understanding Attention Mechanisms – Part 1: Why Long Sentences Break Encoder–Decoders

#ai #machinelearning

2 min read

Mar 25

Understanding Seq2Seq Neural Networks – Part 8: When Does the Decoder Stop?

#ai #machinelearning

2 min read

Mar 23

Understanding Teacher Forcing in Seq2Seq Models

#ai #machinelearning

2 min read

Mar 21

Understanding Seq2Seq Neural Networks – Part 7: Generating the Output with Softmax

#ai #machinelearning

1 min read

Mar 20

Understanding Seq2Seq Neural Networks – Part 6: Decoder Outputs and the Fully Connected Layer

#ai #machinelearning

1 min read

Mar 19

Understanding Seq2Seq Neural Networks – Part 5: Decoding the Context Vector

#ai #machinelearning

2 min read

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