How AI Models Can Share Hidden Thoughts, Not Just Final Answers
Author(s): MKWriteshere Originally published on Towards AI. Mixture of Thoughts enables language models to collaborate through latent-space integration, achieving 10% gains over single-model baselines without multi-turn overhead Specialized AI models excel at different tasks. Some crush math problems. Others write clean code …
Mastering Transformer Architecture — A Complete Component-Level Guide for Developers
Author(s): Rohan Mistry Originally published on Towards AI. Mastering Transformer Architecture — A Complete Component-Level Guide for Developers Ready to go pro? This is where we dissect every Transformer component and uncover how real systems scale. How are tokens and embeddings createdThe …
The Easiest Way to Learn Transformer Architecture — A Medium Story for Everyone
Author(s): Rohan Mistry Originally published on Towards AI. Make sense of the Transformer — the architecture that rewired modern AI — from first principles. Friendly for non‑tech readers, and deep enough that senior developers gain practical intuition and a path to implement …
No Libraries, No Shortcuts: LLM from Scratch with PyTorch
Author(s): Ashish Abraham Originally published on Towards AI. The no BS guide to build, train, and fine-tune a Transformer architecture from scratch OpenAI has recently launched its highly anticipated open-source GPT-OSS models, a moment that invites a minute of reflection on just …
Teaching AI to Say “I Don’t Know”
Author(s): Kaushik Rajan Originally published on Towards AI. A deep dive into TruthRL, a new reinforcement learning method making large language models more honest. I once asked an early AI model for a biography of a niche historical figure. It confidently spun …
The Future of AI Agent Discovery: Graphs, APIs, and Beyond
Author(s): Souradip Pal Originally published on Towards AI. How knowledge graphs will transform agents from data fetchers into digital decision-makers. Now imagine sending an AI agent into that chaos with one mission: “Find me the best restaurant that matches my budget, serves …
October Cohort Kicks Off on 5th October — 2 Days Left
Author(s): Towards AI Editorial Team Originally published on Towards AI. Enroll today to unlock October’s live kick-off, updated courses, and hands-on projects. The October cohort kicks off on 5th October (in less than 48 hours). If you’ve been waiting for the right …
Full Transformer Learning Series: From Foundations to Mastery
Author(s): Rohan Mistry Originally published on Towards AI. Full Transformer Learning Series: From Foundations to Mastery Every revolution has a hidden story. Transformers didn’t just appear out of nowhere — they are the result of decades of strange experiments, brilliant failures, and …
LLM Multi-GPU Training: A Guide for AI Engineers
Author(s): Burak Degirmencioglu Originally published on Towards AI. To keep up with the rapid evolution of large language models (LLMs), multi-GPU training has become a crucial necessity for AI engineers. As models scale from billions to trillions of parameters, a single GPU …
Universal Deep Research: Beyond Search Engines
Author(s): Piyoosh Rai Originally published on Towards AI. The fundamental difference: Search engines retrieve documents linearly, while deep research systems orchestrate specialized agents across multiple sources, synthesizing evidence and validating findings through interconnected intelligence networks. Why your AI research assistant is just …
A Guide to AI Agent Evaluation and Observability
Author(s): Burak Degirmencioglu Originally published on Towards AI. Goal-driven agentic systems, equipped with large language models and external tools, are designed to perform complex tasks with limited human supervision. This transformative capability, however, introduces significant challenges. Unlike traditional software, an AI agent’s …
LLM Evaluation: The Crucial Step for AI Success
Author(s): Burak Degirmencioglu Originally published on Towards AI. The capabilities of Large Language Models (LLMs) are advancing every day, creating a revolutionary impact in the field of natural language processing. But how do we know if a model is “successful”? This is …
Progressive Investment in AI: How to Plan and Execute
Author(s): Leapfrog Technology Originally published on Towards AI. In the ever-evolving landscape of technology, Artificial Intelligence (AI) and Generative AI (GenAI) have emerged as transformative forces capable of revolutionizing business operations. As a leading software sourcing company, we recognize the immense potential …
I asked AI to write a Perfect Prompt (Beginners’ Trick)
Author(s): Tanmoy Das Originally published on Towards AI. Master Prompt Engineering in less than a minute. Imagine writing a perfect prompt that makes the generative AI tool (any one that you are using) give you the exact thing that you asked for. …
How to Extract Data from Complex PDFs: Landing AI’s DPT-2 Complete Guide
Author(s): GenAI Lab Originally published on Towards AI. Andrew Ng’s Landing AI just changed document processing: Extract structured data from any PDF, no matter how complex Landing AI has unveiled Document Pre-trained Transformer-2 (DPT-2), a groundbreaking advancement in their Agentic Document Extraction …
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