nlp

• 13. NLP: Positional Encodings
  Feb 16, 2026 • 13 min read
  The transformer’s way of remembering who stood where, because attention without order is chaos with confidence.
  #NLP #Transformers
• 12. NLP: Embeddings
  Jan 05, 2026 • 35 min read
  The Geometry of Meaning : Turning meaning into maths.
  #NLP
• 11. NLP: Tokenizers
  Dec 07, 2025 • 22 min read
  A detailed description about tokenizers in LLMs.
  #NLP
• 10. NLP: Mixture of Experts (MOE)
  Sep 22, 2025 • 16 min read
  A guide on MoEs, their history and implementation in transformers along with the losses associated with it.
  #NLP #Transformers
• 9. NLP: Optimizing Attention
  Aug 05, 2025 • 34 min read
  A guide on KV-Caching along with Sliding Window Attention. Ending with MQA and GQA.
  #NLP #Transformers
• 8. NLP: BERT
  Jul 25, 2025 • 7 min read
  A guide on BERT models and how their architecture.
  #NLP #Transformers
• 7. NLP: Transformer Implementation
  Jul 18, 2025 • 34 min read
  Implementation and trainig of Transformer for En-Hi machine translation task.
  #NLP #Transformers
• 6. NLP: Transformers
  Jun 22, 2025 • 45 min read
  A complete guide to the transformer architecture, attention mechanisms, and positional encoding.
  #NLP #Transformers
• 5. NLP: Attention
  May 28, 2025 • 26 min read
  A guide on Attention mechanism for seq2seq models.
  #NLP
• 4. NLP: Seq2Seq
  May 19, 2025 • 8 min read
  A guide on Seq2Seq models that changed machine translation task.
  #NLP
• 3. NLP: Pytorch for NLP
  May 10, 2025 • 16 min read
  Some tips for working with PyTorch for NLP tasks
  #NLP
• 2. NLP: LSTM & GRU
  May 08, 2025 • 5 min read
  A guide on LSTM and GRU models and how they overcome limitations of RNNs.
  #NLP
• 1. NLP: Recurrent Neural Networks [RNN]
  May 04, 2025 • 13 min read
  A guide on the first steps towards modern NLP.
  #NLP