All Readings: Introduction to Generative AI (G-GENAI-I)
Here are the assembled readings on generative AI:
● Ask a Techspert: What is generative AI? https://blog.google/inside-google/googlers/ask-a-techspert/what-is-generative-ai/
● Build new generative AI powered search & conversational experiences with Gen App Builder:
https://cloud.google.com/blog/products/ai-machine-learning/create-generative-apps-in-
minutes-with-gen-app-builder
● What is generative AI? https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai
● Google Research, 2022 & beyond: Generative models: https://ai.googleblog.com/2023/01/google-research-2022-beyond-language.html#Gener ativeModels
● Building the most open and innovative AI ecosystem: https://cloud.google.com/blog/products/ai-machine-learning/building-an-open-generativ e-ai-partner-ecosystem
● Generative AI is here. Who Should Control It? https://www.nytimes.com/2022/10/21/podcasts/hard-fork-generative-artificial-intelligen ce.html
● Stanford U & Google’s Generative Agents Produce Believable Proxies of Human Behaviors:
https://syncedreview.com/2023/04/12/stanford-u-googles-generative-agents-produce-b
elievable-proxies-of-human-behaviours/
● Generative AI: Perspectives from Stanford HAI: https://hai.stanford.edu/sites/default/files/2023-03/Generative_AI_HAI_Perspectives.pd f
● Generative AI at Work: https://www.nber.org/system/files/working_papers/w31161/w31161.pdf
● The future of generative AI is niche, not generalized: https://www.technologyreview.com/2023/04/27/1072102/the-future-of-generative-ai-is- niche-not-generalized/
Here are the assembled readings on large language models:
● NLP's ImageNet moment has arrived: https://thegradient.pub/nlp-imagenet/
● Google Cloud supercharges NLP with large language models:
https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-supercharge
s-nlp-with-large-language-models
● LaMDA: our breakthrough conversation technology: https://blog.google/technology/ai/lamda/
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