- Published on
A humorous and accessible introduction to how neural networks remember information, explained through the lens of a fictional breakup between LSTM and BERT.
$ ls /tags/explainer
~/tags
- #ai [16]
- #productivity [10]
- #development [9]
- #automation [8]
- #architecture [4]
- #documentation [3]
- #best-practices [3]
- #innovation [3]
- #prompt-engineering [2]
- #cognitive-development [2]
- #learning [2]
- #microservices [2]
- #system-design [2]
- #event-sourcing [2]
- #neural-networks [2]
- #machine-learning [2]
- #writing [1]
- #content-creation [1]
- #communication [1]
- #prompting [1]
- #hallucinations [1]
- #grok [1]
- #context-window [1]
- #api [1]
- #source-control [1]
- #business-strategy [1]
- #design-patterns [1]
- #agents [1]
- #migration [1]
- #data [1]
- #tools [1]
- #software-engineering [1]
- #fundamentals [1]
- #technical-debt [1]
- #code-quality [1]
- #deployment [1]
- #devops [1]
- #agentic-code [1]
- #it-security [1]
- #efficiency [1]
- #team-culture [1]
- #presentations [1]
- #investing [1]
- #markets [1]
- #behavioral-finance [1]
- #decision-making [1]
- #lean-strategy [1]
- #technology [1]
- #agile [1]
- #lean-startup [1]
- #fsd [1]
- #automotive [1]
- #lstm [1]
- #bert [1]
#explainer [1]
- #open-source [1]
- #enterprise [1]
- #software-development [1]
- #mental-health [1]
- #engineering [1]
- #minimalism [1]