Introduction to Large Language Models (G-LLM-I)

 Introduction to Large Language Models (G-LLM-I)

Here are the assembled readings on large language models:

  1. NLP's ImageNet moment has arrived
  2. Google Cloud supercharges NLP with large language models
  3. LaMDA: our breakthrough conversation technology
  4. Language Models are Few-Shot Learners
  5. PaLM-E: An embodied multimodal language model
  6. Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance
  7. PaLM API & MakerSuite: an approachable way to start prototyping and building generative AI applications
  8. The Power of Scale for Parameter-Efficient Prompt Tuning
  9. Google Research, 2022 & beyond: Language models
  10. Accelerating text generation with Confident Adaptive Language Modeling (CALM)
  11. Solving a machine-learning mystery

And here are the assembled readings on generative AI:

  1. Ask a Techspert: What is generative AI?
  2. Build new generative AI powered search & conversational experiences with Gen App Builder
  3. What is generative AI?
  4. Google Research, 2022 & beyond: Generative models
  5. Building the most open and innovative AI ecosystem
  6. Generative AI is here. Who Should Control It?
  7. [Stanford U & Google’s Generative Agents Produce Believable Proxies of Human Behaviors](https://syncedreview.com/2023/04/12/stanford-u-googles-generative-agents-produce-belie

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