A curated collection of readings and resources for understanding Generative AI and Large Language Models.
| Resource | Source |
|---|---|
| Ask a Techspert: What is generative AI? | Google Blog |
| What is generative AI? | McKinsey |
| Google Research, 2022 & beyond: Generative models | Google AI Blog |
| Building the most open and innovative AI ecosystem | Google Cloud |
| Generative AI is here. Who Should Control It? | New York Times |
| Generative Agents Produce Believable Proxies of Human Behaviors | Synced Review |
| Generative AI: Perspectives from Stanford HAI | Stanford HAI |
| Generative AI at Work | NBER |
| The future of generative AI is niche, not generalized | MIT Technology Review |
| The implications of Generative AI for businesses | Deloitte |
| Proactive Risk Management in Generative AI | Deloitte |
| How Generative AI Is Changing Creative Work | Harvard Business Review |
| Resource | Source |
|---|---|
| NLP's ImageNet moment has arrived | The Gradient |
| LaMDA: our breakthrough conversation technology | Google Blog |
| Language Models are Few-Shot Learners | NeurIPS |
| Introducing Gemini: our largest and most capable AI model | Google Blog |
| The Power of Scale for Parameter-Efficient Prompt Tuning | arXiv |
| Google Research, 2022 & beyond: Language models | Google AI Blog |
| Solving a machine-learning mystery | MIT News |
| Resource | Source |
|---|---|
| Attention is All You Need | Google Research |
| Transformer: A Novel Neural Network Architecture for Language Understanding | Google AI Blog |
| Transformer (Wikipedia) | Wikipedia |
| Resource | Source |
|---|---|
| What is Temperature in NLP? | Luke Salamone |
| Model Garden | Google Cloud |
| Auto-generated Summaries in Google Docs | Google AI Blog |
New links will be added soon