Quick Start Robotics and Reinforcement Learning with MuJoCo
Author(s): Yasin Yousif Originally published on Towards AI. A starter tutorial of its basic structure, capabilities, and main workflow Images are rendered from xml source in menagerie repo under BSD-3-Clause for Trossen, and Apache license for Franka and Apptronik MujoCo is a …
5-Step Structured Problem-Solving Guide for Data science
Author(s): Noro Chalise Originally published on Towards AI. Structured Problem-Solving and Critical Thinking in Action: A Data-Driven Approach with Real Examples Problem-solving and critical thinking are essential skills for data scientists, enabling them to tackle complex business challenges with structured methodologies. However, …
2047: A Generative AI Odyssey — How 95% of Smaller Apps, AI Cities, and Self-Coding Systems Will Redefine Existence
Author(s): Kalash Vasaniya Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: DALL·E. “2047: A Generative AI Odyssey — How 95% Smaller Apps, AI Cities, and Self-Coding Systems Will Redefine Existence.” OpenAI, 2025, …
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 …
RAG vs Fine-Tuning for Enterprise LLMs
Author(s): Paul Ferguson, Ph.D. Originally published on Towards AI. RAFT vs Fine-Tuning — Image created by author As the use of large language models (LLMs) grows within businesses, to automate tasks, analyse data, and engage with customers; adapting these models to specific …
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 …
Advanced Fine-Tuning Techniques: Optimizing LLMs for Enterprise Applications
Author(s): Adit Sheth Originally published on Towards AI. LLM Optimization Trend Introduction Large Language Models (LLMs) have revolutionized AI-driven automation, but their deployment in enterprise applications presents challenges — computational cost, adaptability, and efficiency. Fine-tuning enables enterprises to customize LLMs for domain-specific …
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 …
A Unified Approach To Multimodal Learning👀
Author(s): Yash Thube Originally published on Towards AI. A Unified Approach To Multimodal Learning👀 We live in a world of multimodal data. Think about it: a restaurant review isn’t just text; it’s accompanied by images of the food, the ambiance, and maybe …
Explaining Transformers as Simple as Possible through a Small Language Model
Author(s): Alex Punnen Originally published on Towards AI. And understanding Vector Transformations and Vectorizations This member-only story is on us. Upgrade to access all of Medium. I have read countless articles and watched many videos about Transformer networks over these past few …
Analyze Data Like A Python Pro
Author(s): Katlego Thobye Originally published on Towards AI. Create a Cheat Sheet and Stop Googling the Docs This member-only story is on us. Upgrade to access all of Medium. Photo by Mathew Schwartz on Unsplash I remember drowning in online searches for …
Investigating Transformer Attention and Reinforcement Learning Dynamics Using Self‑Generated Structural Data
Author(s): Shenggang Li Originally published on Towards AI. Cracking the Code: Synthetic Data as the Key to Understanding and Enhancing LLMs This member-only story is on us. Upgrade to access all of Medium. Photo by Joshua Sortino on Unsplash Building large language …
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, …
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