What Millions of Conversations Reveal About AI’s Real Economic Impact
Author(s): Vita Haas Originally published on Towards AI. A new study by Anthropic offers a rare, data-driven glimpse into how artificial intelligence is actually being used in the workplace — rather than how it’s supposed to be used. Based on over four …
Mantic: Understanding the Evolution, Reinforcement, and Limits of Value Systems
Author(s): Cole Williams Originally published on Towards AI. Episode 1, Episode 2, Episode 3 Season Finale MLM demonstrates how local pattern disruptions — moments of innovation or insight — trigger sustainable value flows while preserving network-wide resilience. Through computational simulations and empirical …
Understandability of Deep Learning Models
Author(s): Lalit Kumar Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Blackbox nature of DL models Deep learning systems are a kind of black box when it comes to analysing how they give …
Preference Alignment
Author(s): Sarvesh Khetan Originally published on Towards AI. Preference Alignment Reinforcement Learning with Human Feedback (RLHF) Table of Content Prerequisites Method 1— Preference Alignment using Reinforcement Learning with Human Feedback (RLHF) Algorithm2.a. LLM as Reinforcement Learning Agent 2.b. Reward Modelling using Supervised …
AI for Everyone: The Biggest AI Myths People Still Believe
Author(s): Sophia Banton Originally published on Towards AI. AI for Everyone: The Biggest AI Myths People Still Believe “AI will take away all of our jobs.” “AI will develop intelligence beyond human control and dominate the world.” “AI doesn’t have personal opinions.” …
How We Taught Machines to Think
Author(s): Vita Haas Originally published on Towards AI. And Occasionally Fail Spectacularly This member-only story is on us. Upgrade to access all of Medium. Artificial Intelligence is no longer lurking in the shadows — it’s in our pockets, powering our social feeds, …
#62 Will AI Take Your Job?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Yet another week, and reasoning models and Deepseek are still the most talked about in AI. We are joining the bandwagon with this week’s resources focusing on whether …
NN#6 — 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: Article by Pushkar In the previous article, we dissected the mechanics of backpropagation, gradient descent, and the pivotal role of the …
RAG Explained: A Comprehensive Guide to Mastering Retrieval-Augmented Generation
Author(s): Ajit Kumar Singh Originally published on Towards AI. Image by Author Hi Everyone 👋 Recently, I worked on a use case involving product matching, which required implementing RAG modeling. At the time, I had limited knowledge of RAG and no hands-on …
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 …
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, …