Explore AI’s most influential papers—from Transformer to Zero Evaluation—with concise takeaways and real-world business impact.
2017
Transformer architecture revolutionises sequence modelling.
Birth of scalable LLMs—foundation for AI copilots and automated insight engines.
2018
Bidirectional pre-training beats task-specific models.
Search, chatbots, and doc classification leap in accuracy.
2020
Scaling laws unlock few-shot language mastery.
Natural-language interfaces; rapid domain LLM prototyping.
2020
Retrieval + generation slashes hallucination risk.
Safely blends private data with LLMs—source-linked answers.
2021
External memory boosts recall, cuts cost.
Large-context models viable without runaway compute bills.
2022
Simple prompts unlock LLM reasoning abilities.
Multi-step reasoning for diligence and scenario planning.
2022
Voting across thoughts improves reliability.
Higher-confidence outputs critical in regulated workflows.
2023
Interleaves reasoning and tool use seamlessly.
Foundation for agentic workflows in business systems.
