Apache Airflow Explained: A Beginner-Friendly Guide
Learn the basics of Apache Airflow in this beginner-friendly guide, including how workflows, DAGs, and scheduling work to simplify and automate data pipelines.
CrewAI: A Practical Guide to Role-Based Agent Orchestration
Learn CrewAI from scratch with this practical crash course on role-based agent orchestration. Explore agents, tasks, workflows, and real-world use cases.
Understanding Episodic Memory in Artificial Intelligence
Explore how episodic memory enhances AI by enabling systems to recall past experiences, improve decision-making, and personalize interactions.
Hidden Markov Models Explained
Hidden Markov Models explained in simple terms. Learn how HMMs work, their components, and use cases in speech, NLP, and time-series analysis.
Visual Question Answering: a Survey
URL: https://www.progressiverobot.com/introduction-to-visual-question-answering/ We've seen a lot of advancements in the last few years in many subdomains of machine learning. Computer vision tasks like object detection and image segmentation, as well as NLP tasks like entity recognition, language generation, and question answering, are now being solved by neural networks and approached much differently, with more speed […]
Model Interpretability and Understanding for PyTorch using Captum
In this blog post, we examine Captum, which supplies academics and developers with cutting-edge techniques, such as Integrated Gradients, that make it simple to identify the elements that contribute to a model’s output. We then put these techniques to use in a coding demo with ResNet.
PyTorch 101: Understanding Hooks
We cover debugging and visualization in PyTorch. We explore PyTorch hooks, how to use them, visualize activations and modify gradients.
Understanding LLM Poisoning
Discover how LLM poisoning works, why even 0.01% poisoned data can compromise AI systems, and the steps to prevent backdoor attacks in models.
Apache MXNet: Architecture, Distributed Training, and Deployment
Explore Apache MXNet in depth—from its modular architecture and distributed training features to practical deployment strategies in the cloud.
CUDA Guide: Workflow for Performance Tuning
Learn a step-by-step CUDA performance tuning workflow to optimize GPU kernels, improve memory usage, and boost application speed.
