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Sequential vs Functional API in Keras
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Keras provides two main ways to build deep learning models: the Sequential API and the Functional API. Both are part of the Keras high-level API, but they differ in terms ...
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Adaptive Optimization in Machine Learning is a set of techniques that automatically adjust the learning rate during training. Unlike traditional methods like basic SGD tha...
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Bayesian Neural Networks (BNNs) extend traditional neural networks by treating weights asprobability distributionsrather than fixed values. This approach quantifies uncert...
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Tree of Thought (ToT) prompting
Last Updated: 02 July 2025
Tree of Thought (ToT) promptingis a sophisticated prompt engineering technique for large language models (LLMs) that structures the reasoning process as a branching tree, ...
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Fully Sharded Data Parallel (FSDP)
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Fully Sharded Data Parallel (FSDP) is a distributed training approach designed to efficiently train very large neural network models across multiple GPUs or nodes byshardi...
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Implementing Neural Style Transfer using PyTorch
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Introduction to Pyro
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Pyro is an open source probabilistic programming library built on PyTorch. Pyro lets you define complex probabilistic models using Python code, combine them with deep lear...
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Feature Engineering for XGBoost Models
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Feature engineering is the process of transforming raw data into meaningful features that better represent the underlying problem to predictive models, resulting in improv...
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Semantic Analysis with NLTK
Last Updated: 02 July 2025
Semantic Analysis in NLP is the process of extracting meaning from text beyond just the words themselves. While syntax focuses on structure semantics helps machines unders...
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Dependency Parsing with NLTK
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Dependency parsing is a way to understand how words in a sentence are connected. It finds which words depend on others. In NLTK, there is no built in full dependency parse...
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Adversarial prompting
Last Updated: 02 July 2025
Adversarial promptingis the practice of crafting prompts that intentionally exploit vulnerabilities in large language models (LLMs) to make them produce undesirable, harmf...
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What is Text Classification?
Last Updated: 03 July 2025
Text Classification is the process of assigning predefined categories or labels to text data. It is a core task in Natural Language Processing (NLP) used in applications l...
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Using Keras to Build Custom Object Detection Models
Last Updated: 05 July 2025
Building custom object detection models using Keras (specifically with KerasCV, an extension for Computer Vision tasks) is a powerful way to detect and localize objects in...
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Prompt prefixing
Last Updated: 09 July 2025
Prompt prefixingis a prompt engineering technique where specific phrases or instructions are placed at the beginning of a prompt toguide an AI model’s behavior, set the co...
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Counterfactual Prompting
Last Updated: 09 July 2025
Counterfactual promptingis a prompt engineering technique that involves asking an AI model to consider "what if" scenarios hypothetical alternatives to actual events or fa...
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