I Spent 7 Days Removing Hallucinations Without Touching the Model
Author(s): Manash Pratim Originally published on Towards AI. I didn’t switch models, fine-tune, or add new data. I just stopped trusting the AI. I didn’t switch models. I didn’t fine-tune. I didn’t add a single row of new training data. I just …
LLM Inference: Data Parallel, Model Parallel, and Pipeline Parallel
Author(s): Tushar Vatsa Originally published on Towards AI. credits : www.veracity.com In the previous post, we explored how KV cache optimization affects inference performance. Using the Phi-2 model as an example, we observed that increasing the sequence length led to a near-linear …
Deep Learning: A Comprehensive Guide
Author(s): Rashmi Originally published on Towards AI. Deep Learning: A Comprehensive Guide Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers (hence “deep”) to learn hierarchical representations of data. Unlike traditional machine learning algorithms that …
How to Identify AI & ML Research Problems Worth Solving
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Julius Carmine on Unsplash In Search of a North Star Formulating a research question is one of the early and most important steps in the research process. It is the one determinant …
Build 7 Production-Ready Agentic AI Projects This Weekend (That Actually Land Jobs) 🚀
Author(s): AbhinayaPinreddy Originally published on Towards AI. Build 7 Production-Ready Agentic AI Projects This Weekend (That Actually Land Jobs) 🚀 Everyone’s talking about autonomous AI agents as if they’re the exclusive domain of research labs and tech giants. They’re not. In 2025, …
All Linear Algebra Concepts You Need For Machine Learning: You’ll Actually Understand
Author(s): Sayan Chowdhury Originally published on Towards AI. Most people hear “linear algebra” and expect a wall of formulas. But in machine learning, you only need a small set of ideas, and every one of them has a real-world interpretation. This article …
Resampling Methods in Action: How Bootstrap and Jackknife Improve our Estimates
Author(s): Abinaya Subramaniam Originally published on Towards AI. Imagine trying to understand a population based on a small sample. We calculate a statistic, maybe the mean test score of students, the average income of households, or the correlation between two variables. But …
MLflow Evaluation Lab — Comprehensive Guide
Author(s): Faizulkhan Originally published on Towards AI. Table of Contents Theoretical Discussion of Algorithms Dataset Descriptions Code Explanations Docker Deployment Postman Testing Guide Architecture Diagrams 1. Theoretical Discussion of Algorithms 1.1 Logistic Regression Overview: Logistic Regression is a linear classification algorithm that …
How AI Agents Use Images, Video, and UI Screenshots
Author(s): Rashmi Originally published on Towards AI. How AI Agents Use Images, Video, and UI Screenshots Modern agents are not limited to text. With multimodal models (OpenAI GPT-5 family, Claude 3.7 Sonnet Vision, Gemini 2.0 Flash/Pro, DeepSeek V3 Vision, Groq multimodal pipelines), …
Context Engineering Is the New Prompt Engineering
Author(s): Rohan Mistry Originally published on Towards AI. While You’re Still Perfecting Prompts, the Industry Already Moved On You’ve spent months mastering prompt engineering. You know exactly how to structure your prompts, where to add examples, and how to get the best …
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