Posts

  • Decoding LLM Metrics - A Mathematical Dive into Model Evaluation 🧮📊

    Finding out best model is always a crucialtask, because just because of using wrong/improper evaluation metric we may sometimes end up with missing out best model that is performing out there!

    Tags: GenAILLMEvaluation Metrics
  • Difference Between nn.Parameters and nn.Linear

    Difference Between nn.Parameters and nn.Linear

    Tags: PyTorch
  • Activation Functions

    Activation functions are used to introduce non linearity in the model.

    Tags: DeepLearningActivation Functions
  • Recurrent Neural Networks

    RNN is popularly used to train on sequential data, sequential may be a sequence of words i.e sentences, sequential may be time series data or sequential may sequence of pixels.

    Tags: SequentialDeepLearningRnn
  • Decision Trees

    Important Terminology

    1. Root Node: The starting node of the tree.

    Tags: Machine LearningEnsemble Models
  • Difference Between .iloc and .loc in Pandas

    Even though we can access the pandas data frame by the normal way (dataframe<column_name>.[index], we have another two ways to access the data frame.

    Tags: PandasDataFrame