LAI #92: AI Hype vs. Reality, Deepfake Detection, and Copilot+ PCs
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we’re looking at where AI is truly useful versus where it’s just hype. Notion makes for a strong case study in integrating AI, where it adds …
From Manual EDA to AI-Powered Agents: A Hands-On Experiment with LangChain
Author(s): Sarah Lea Originally published on Towards AI. Can an agent take over repetitive EDA tasks? A quick LangChain experiment. Exploratory data analysis (EDA) is a standard step before we train models or make predictions. Own visualization — Illustrations from unDraw.coThe article …
How to Pull Real-Time Data From a Website Into Google Sheets
Author(s): Shauvik Kumar Originally published on Towards AI. “The goal is to turn data into information, and information into insight.” — Carly Fiorina, former CEO of Hewlett-Packard There’s something magical about seeing live data stream into your Google Sheet — stocks updating …
AI and IT Security
Author(s): Andrei Besleaga (Nicolae) Originally published on Towards AI. Introduction This is an article related to some issues concerning IT&C Security, in the context of the prevalence of new AI and GenAI tools trends, and not a scientific or technical rigorous article, …
The Transformer Model — A Deep Dive into Core Mechanisms
Author(s): Kuriko Iwai Originally published on Towards AI. Exploring attention and its role in contextual text understanding with walkthrough examples The transformer model revolutionizes natural language processing (NLP) by processing entire sequences at once, leveraging techniques like self-attention mechanism, positional encodings, and …
What an AI “Co-founder” Does When You’re Not Online
Author(s): R. Thompson (PhD) Originally published on Towards AI. Real workflows, guardrails, and the surprising errors you should plan for — a practical operating guide. You have a tiny team (maybe one person). The calendar is full. The to‑do list keeps spawning …
Create a podcast with LLMs
Author(s): Barrett Studdard Originally published on Towards AI. Use LangGraph and ElevenLabs generate podcast episodes LLMs made available by companies such as OpenAI, Anthropic, Google, and others can be useful for learning new things. I enjoy listening to podcasts and audiobooks, but …
From Chaos to Clarity: Crafting an AI Strategy That Delivers Results For Enterprises
Author(s): Manbir T Originally published on Towards AI. From Chaos to Clarity: Crafting an AI Strategy That Delivers Results For Enterprises A marketing VP once told me she “finally had AI covered” because her team bought seven different AI tools for copy, …
Detailed Guide to Quantisation Methods for LLMs
Author(s): Parth Chokhra Originally published on Towards AI. A Visual Step-by-Step Guide to Popular Quantisation Techniques Quantisation is the process of reducing the precision of numbers used in a model; for example, storing weights in 8-bit integers instead of 16- or 32-bit …
Securing GenAI: Vol 3 — Privacy, Security, and Compliance
Author(s): Leapfrog Technology Originally published on Towards AI. Written by Manu Chatterjee, Head of AI at Leapfrog Technology Welcome to the third article in our series on Generative AI (GenAI) security in the enterprise. In our previous articles, we explored the broad …
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