From FP32 to INT8: The Science of Shrinking AI Models
Author(s): Harsh Maheshwari Originally published on Towards AI. Understanding quantization of neural network along with their implementation This member-only story is on us. Upgrade to access all of Medium. The training compute requirement for the famous AI models have become 45x in …
The Complexities of Trend Detection in Time Series Data
Author(s): Lily Chen Originally published on Towards AI. One common use case of working with time series data is trend detection, or trend analysis. A real life example is looking at memory data to see if a service is experiencing a memory …
Why AI Doesn’t Suggest a Viking Longship When You Ask for the Best Cruise Deals
Author(s): Vita Haas Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine walking into a library the size of a small country, and instead of a single librarian, you have an entire team, …
Freelancing in AI/ML: Building Projects That Stand Out
Author(s): Aleti Adarsh Originally published on Towards AI. Have You Ever Wondered Why Some AI/ML Freelancers Succeed While Others Struggle? This member-only story is on us. Upgrade to access all of Medium. Let’s be real — getting into AI/ML freelancing sounds exciting, …
Efficient Training Engine (ETE) for Large Deep Learning Models
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents : There are many ways to efficiently train a large DL model 1. Parallel / Distributed Training Distributed Data Parallelism (DDP)a. DDP Algorithm Intuitionb. DDP Algorithmc. Code Implementation Model Parallelism (MP)a. …
NN#5 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Analytics Vidhya In our ongoing quest to unlock the brains of AI, we’ve built a foundation of understanding, from the neuron-inspired …
Tired of LLM Chaos? LiteLLM Should Be Your Default
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Stop juggling multiple LLM APIs and their “standards” This member-only story is on us. Upgrade to access all of Medium. Large Language Models (LLMs) are revolutionizing everything from content creation to customer …
Parameter-Efficient Fine-Tuning (PEFT): A Hands-On Guide with LoRA
Author(s): BeastBoyJay Originally published on Towards AI. Imagine building a powerful AI model without needing massive computational resources — PEFT makes that possible, and I’ll show you how with LoRA from scratch. Introduction Traditional fine-tuning challenges : Fine-tuning large models sounds cool …
Scale HUMAN animations with OmniHuman-1 (Technical Review)
Author(s): Deltan Lobo Originally published on Towards AI. Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models This member-only story is on us. Upgrade to access all of Medium. Image courtesy: OmniHuman-1 paper Video generation models have been fun till now. We’ve …
DeepSeek R1: The Controversial ‘Innovation’ That Slashes Training Energy by 40% — But Is It Really Paving the Way for a Greener Future?
Author(s): Hasitha Pathum Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Deepseek Artificial intelligence (AI) research and development have witnessed exponential growth in recent years. As machine learning models become more …
Six Ways to Control Style and Content in Diffusion Models
Author(s): Aliaksei Mikhailiuk Originally published on Towards AI. How to Unleash Creativity with a Painter’s Precision and Your Favourite Diffusion Model This member-only story is on us. Upgrade to access all of Medium. Image generated with Imagen3. Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, …
🚀 MLflow Experiment Tracking: The Ultimate Beginner’s Guide to Streamlining ML Workflows
Author(s): Harshit Kandoi Originally published on Towards AI. 🚀 MLflow Experiment Tracking: The Ultimate Beginner’s Guide to Streamlining ML Workflows Photo by Alvaro Reyes on Unsplash Introduction Have you ever felt that you were losing command over your machine-learning projects? You might …
Is AI coding That Good?
Author(s): Fabio Matricardi Originally published on Towards AI. You can have a coding assistant on your local pc. I tested VScode with deepseek-coder and llama.cpp. And AI coding it is not easy as they claim… This member-only story is on us. Upgrade …
Logistic Regression: A Probabilistic Perspective
Author(s): Reza Bagheri Originally published on Towards AI. The mathematical relationship between logistic regression, the logistic distribution, and the sigmoid function This member-only story is on us. Upgrade to access all of Medium. Logistic regression is a simple but powerful supervised machine-learning …
Bias vs Variance — The Mathematical Foundational Assessment of Models
Author(s): Kim Hyun Bin Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. I am sure for many of you interested in the field of machine learning and artificial intelligence, when you first started, …
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