GenAI for Better NLP Systems II: Social Media Analytics
Author(s): Nabanita Roy Originally published on Towards AI. Leveraging GenAI for Social Media Analytics for swifter text processing and inferences as well as improving traditional NLP models with the aid of LLMs This member-only story is on us. Upgrade to access all …
#59: The Agentic AI Era, Smolagents, and a “Gatekeeper” Agent Prototype
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! As you already know, we recently launched our 8-hour Generative AI Primer course, a programming language-agnostic 1-day LLM Bootcamp designed for developers like you. We also have a …
Explainability for 3DResNet Classifier
Author(s): Shashwat (Shawn) Gupta Originally published on Towards AI. GradCAM is one of the simplest techniques to get explainability insights into model prediction. I was surprised to find that while there are many blogs on Medium about using GradCAM with ResNet, there …
From Concept to Code: Unveiling the ChatGPT Algorithm
Author(s): Ingo Nowitzky Originally published on Towards AI. For the past two years, ChatGPT and Large Language Models (LLMs) in general have been the big thing in artificial intelligence. Many articles about how-to-use, prompt engineering and the logic behind have been published. …
TAI #136: DeepSeek-R1 Challenges OpenAI-o1 With ~30x Cheaper Open-Source Reasoning Model
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, the LLM race was blown wide open with Deepseek’s open-source release of R1. Performance is close to o1 in most benchmarks. Built …
The Agentic AI Era: A Primer
Author(s): Kaush B Originally published on Towards AI. GenAI, Agentic AI, Advanced AI Photo by Marija Zaric on Unsplash Content Introduction to Holistic Intelligence (HI) What are AI Agents? Types of AI Agents AI Agent Architecture: Topologies Enterprise AI Agents: Characteristics and …
#58 Can We Use One Big Model To Train Smaller Models?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we explore LLM optimization techniques that can make building LLMs from scratch more accessible with limited resources. We also discuss building agents, image analysis, large concept …
Module 1 Part -01 Building Block of Data Analytics
Author(s): Sudeep Originally published on Towards AI. created by me using canva If you are wondering what is this Module 1 and related stuff, please refer this : What is Data Analytics So it all starts with Statistics At a high level, …
AI Mathematicians: How LLMs Are Redefining Mathematics
Author(s): Adit Sheth Originally published on Towards AI. What if a computer could discover mathematical patterns, prove theorems, and solve mysteries that have puzzled humanity for centuries? Welcome to the age of AI-powered mathematics, where Large Language Models (LLMs), like ChatGPT, aren’t …
Q Learning — Deep Reinforcement Learning
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents Problem Statement Value Functions Q Learning3.a. Theory3.b. Code3.c. Problems with Q Learning V Learning Resources Problem Statement Let’s say our model is trying to play ping pong and is currently in …
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