Two Minds, One Goal: The Striking Parallels Between Human Brains and AI Agents
Author(s): MKWriteshere Originally published on Towards AI. The biological-computational comparison is transforming how we build thinking machines Imagine ancient Greek craftsmen telling stories of Talos, a bronze giant who patrolled Creteβs shores, protecting the island from intruders. Or picture Leonardo da Vinci …
Accelerating Data Annotation with LLMs: A Practical Guide
Author(s): Abdullah Al Munem Originally published on Towards AI. Photo by Katarzyna Pe on Unsplash Data annotation stands as perhaps the most formidable challenge in supervised machine learning development. This critical process typically consumes 60β80% of project timelines and budgets, creating a …
Building a Character-Level RNN Text Generator from Scratch: Shakespeareβs Digital Apprentice
Author(s): Souradip Pal Originally published on Towards AI. Ever dreamed of teaching a machine to write like Shakespeare? Imagine watching your own AI spin out sonnets, one letter at a time β itβs possible, and simpler than you think. Today, weβre peeling …
Meet the Minds Behind Modern AI β 8 Types of Intelligent Agents Explained
Author(s): Poojan Vig Originally published on Towards AI. Ever wonder what kind of βbrainβ switches on your smart lights, queues the perfect playlist, adjusts the thermostat, and reroutes your commute β all in an instant.Those invisible brains are AI agents β software …
From Spark to Strategy: How I Approach Brainstorming and Planning AI Projects
Author(s): Elangoraj Thiruppandiaraj Originally published on Towards AI. Introduction: The Problem With AI Ideas As a Data Scientist, I often find that every second person I talk to has a potential AI use case in mind. I get questions like: Can AI …
How to Stay Sane in the Age of Infinite AI Tools
Author(s): Hemanth Sanisetty Originally published on Towards AI. A practical guide to navigating hype, avoiding tool FOMO, and building a personal AI stack that actually works.AI generated image If you are not a medium member, read the full story here Every week, …
MCP β an Architectural Inflection Point
Author(s): Zoheb Abai Originally published on Towards AI. MCP Technical Components In todayβs AI-driven development landscape, applications increasingly rely on sophisticated language models to power intelligent features. However, connecting these models to real-world external sources or services (tools), data sources, and APIs …
Fine Tuning LLM for Parsing and Serving Through Ollama
Author(s): Kaushik Holla Originally published on Towards AI. Source: By the Author Last week, I signed up for the Databricks conference happening in San Francisco, eager to explore new AI innovations. While reviewing the event schedule, one particular Lightning Talk by Mastercard …
How Meta Built Threads to Support 100 Million Signups in 5 Days
Author(s): Kalash Vasaniya Originally published on Towards AI. Generate your MCP server SpeakeasySource: From AI-Generated If youβre not a member but want to read this article, see this friend link here. Try here: https://www.speakeasy.com/ Like it or not, your API has a …
My Journey: Creating a Data Science with Python + GitHub
Author(s): Harshit Kandoi Originally published on Towards AI. βAs an Engineering student, I panicked when recruiters asked for a portfolio until I built one that landed me interviews!β Photo by Anete LΕ«siΕa on Unsplash That moment of panic became real. In my …
From Noise to Numbers: Building a DCGAN for MNIST Generation Using PyTorch
Author(s): Souradip Pal Originally published on Towards AI. Imagine a neural network dreaming up handwritten digits so real, they fool even trained eyes β or sketching fashion items never seen before. This isnβt sci-fi. Itβs the magic of Generative Adversarial Networks. First …
LAI #73: Vision-Language at Scale, o1βs Limits, RAG 2.0, and Multi-Agent Builders
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This weekβs issue covers deploying in-house vision-language models for large-scale document parsing, and whether OpenAIβs o1 models have actually advanced reasoning, or just scaled search. We also cover …
What is Vibe Coding?
Author(s): Nehdiii Originally published on Towards AI. Image Source Iβve observed two intriguing trends that I believe will develop in parallel as the future of work unfolds. One reflects AI reasoning models leveraging agentic workflows to rethink traditional scientific methods like Googleβs …
The Unauthorized Experiment: How AI Secretly Infiltrated Reddit and Changed Usersβ Minds
Author(s): MKWriteshere Originally published on Towards AI. Image Generated by Author Using Gpt-4o (Non-Member Link) What if you discovered that the online stranger who changed your deeply held opinion wasnβt a person at all? This alarming scenario became reality for thousands of …
NVIDIA and Neural Rendering are Revolutionizing the $800B Metaverse
Author(s): Tim Urista | Senior Cloud Engineer Originally published on Towards AI. Info graphic created in canva The metaverse stands at a critical inflection point. While tech giants pour billions into building immersive virtual worlds, a stark reality remains: current rendering technologies …
Popular posts
Updates
Recent Posts
