LoRA and Efficient Fine-Tuning, Explained
Fine-tuning a large model used to mean owning a data centre. LoRA changed that by training a tiny fraction of the weights. Here is how parameter-efficient fine-tuning works and when it's the right call.
LLMs & Foundation Models — Page 10
Weekly AI Roundup: July 10, 2026
The week's 10 most important AI developments in one place, with links to our full sourced briefs.
OpenAI says GPT 5.6 is the ‘preferred model’ for Microsoft Copilot 365 amid breakup chatter
OpenAI has announced that its GPT 5.6 model is the preferred choice for powering Microsoft's Copilot 365, reinforcing its integration into productivity tools.
GPT-5.5 Bio Bug Bounty
OpenAI has launched its Bio Bounty program to enhance the security of GPT-5.5. This initiative aims to address vulnerabilities.
GPT-5.6: Frontier intelligence that scales with your ambition
OpenAI introduces GPT-5.6, a frontier model it says delivers more intelligence per token, better performance per dollar, and additional capacity for demanding tasks.
Prompt Engineering Basics: How to Get Better Answers From AI
Most people get mediocre answers from AI because of vague prompts. A few simple techniques — being specific, giving examples, and asking for step-by-step reasoning — reliably improve results.
Weekly AI Roundup: Agents, Local Models, and the Regulation Clock
Our inaugural weekly roundup: why agents dominate the conversation, what the local-model ecosystem's maturity means for builders, and the regulatory deadlines coming into focus.
Perplexity: The AI Answer Engine Challenging Traditional Search
Perplexity answers questions with concise, cited summaries drawn from the live web — positioning itself between a search engine and a chatbot. Here is what it does and where it fits.
BERT: The Paper That Taught Machines to Read Both Directions
Before GPT dominated headlines, BERT showed that pretraining a Transformer to read text in both directions could transform language understanding. Here is what the landmark 2018 paper introduced.
GPT-3: The Paper That Showed Scale Creates New Abilities
The 2020 GPT-3 paper made a startling claim: make a language model big enough and it learns new tasks from a few examples in the prompt, with no retraining. Here is what it showed.
Attention Is All You Need: The Paper Behind Every Modern AI Model
Every modern language model — GPT, Claude, Gemini, Llama — descends from one 2017 paper. Here is what 'Attention Is All You Need' actually proposed, in plain English, and why it changed everything.
What Is a Large Language Model? A Plain-English Guide
LLMs power ChatGPT, Claude, and Gemini — but what are they, really? This beginner guide explains how they work, what they're good and bad at, and the vocabulary you need, with zero math.