A short history of AI: from Turing to transformers
Seventy-five years of artificial intelligence in one read: the Dartmouth workshop, two AI winters, the deep learning breakthrough and the arrival of ChatGPT.
AI Desk3 min read
Section B
Knowledge & Learning — Page 2
Guides, explainers, courses and references to understand and use AI.
48 stories RSS
The deep learning revolution in ten milestones (2012–2022)
AlexNet, word2vec, GANs, ResNet, AlphaGo, transformers, BERT, GPT-3, AlphaFold and ChatGPT: the ten results that turned deep learning into today's AI.
AI Desk3 min read
Math for AIGuide
The math behind AI: what you actually need to know
Linear algebra, calculus, probability and statistics: which parts of math matter for understanding and building AI, explained with intuition first.
AI Desk3 min read
Math for AIGuide
Gradient descent explained with one simple example
The algorithm that trains almost every AI model, explained with a hiker in the fog and a few lines of Python: gradients, learning rates and why training can fail.
AI Desk3 min read
How to read an AI research paper (and spot the hype)
A practical method for reading machine learning papers: what to read first, how to judge experiments and benchmarks, and the red flags that signal overclaiming.
AI Desk4 min read
Machine LearningResearch
The Adam optimizer explained: the algorithm that trains most neural networks
Adam combined momentum with per-parameter learning rates and became the default way to train deep learning models. How it works, why it won and its known pitfalls.
AI Desk4 min read
What are AI agents? How they plan, use tools and take actions
AI agents go beyond chat: they plan, call tools, browse and act toward a goal. How the agent loop works, the main design patterns, real uses and the risks.
AI Desk3 min read
APIs & SDKsGuide
Your first LLM API call: a step-by-step guide in Python
Set up an API key safely, send your first request to a language model in Python, understand messages, tokens and parameters, and handle errors and costs.
AI Desk3 min read
How retrieval-augmented generation (RAG) works, step by step
RAG lets AI answer from your documents. Each stage explained: ingestion, chunking, embeddings, retrieval, reranking, prompting and evaluation, with practical tips.
AI Desk3 min read
GPU vs TPU vs NPU: the AI chips explained
Why AI runs on GPUs, what Google's TPUs and the NPUs in laptops and phones do differently, and how memory, bandwidth and interconnects shape AI performance.
AI Desk3 min read
What is AI alignment? The problem of making AI do what we intend
Why it is hard to make AI systems pursue the goals we actually want, the main techniques used today — from RLHF to constitutional AI — and the open research problems.
AI Desk3 min read
Algorithmic bias explained: how AI systems end up unfair
Where AI bias comes from — data, labels, design and deployment — with landmark examples such as Gender Shades, and the main ways to measure and reduce it.
AI Desk3 min read
The skills that matter in an AI workplace — and how to build them
AI fluency, judgment, domain expertise, communication and learning agility: the skills that matter as AI changes work, and practical ways to build each one.
AI Desk3 min read
An AI video workflow for creators: from script to publish
A step-by-step workflow for YouTubers and marketers using AI for scripting, footage, voiceover, editing, captions and thumbnails — with disclosure and rights checks.
AI Desk3 min read
How to plan a trip with AI: a step-by-step guide
Use AI assistants to choose destinations, build itineraries, budget, pack and handle language barriers — with prompts to copy and the checks that prevent travel mishaps.
AI Desk3 min read
How to use AI in your job search — without sounding like everyone else
Use AI to analyze job postings, tailor your CV, write cover letters, prepare for interviews and practice negotiation, while keeping applications honest and personal.
AI Desk3 min read
How to launch an AI customer support chatbot: a step-by-step guide
Plan, build, test and launch an AI support assistant: choosing use cases, preparing the knowledge base, setting guardrails and escalation, and measuring results.
AI Desk4 min read
The "godfathers of deep learning": Hinton, LeCun and Bengio
Who Geoffrey Hinton, Yann LeCun and Yoshua Bengio are, the ideas that won them the 2018 Turing Award, and why the three now disagree sharply about the risks of AI.
AI Desk3 min read