2023/04/14: Hallucinate, Model 최적화

1.Deploying Large NLP Models: Infrastructure Cost Optimization

source: https://neptune.ai/blog/nlp-models-infrastructure-cost-optimization

2.Large Language Models and Two Modes of Human Thinking

source: https://towardsdatascience.com/large-language-models-and-two-modes-of-human-thinking-1322160755e8

3.This is How to Stop ChatGPT, Bing, Poe, and You from Hallucinating

source: https://pub.towardsai.net/this-is-how-to-stop-chatgpt-bing-poe-and-you-from-hallucinating-42e8e80c2ef7

4.On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

source: https://dl.acm.org/doi/pdf/10.1145/3442188.3445922

5. Building a Machine Learning Platform

source: https://neptune.ai/blog/ml-platform-guide

6. Optimizing Models for Deployment and Inference

source: https://neptune.ai/blog/optimizing-models-for-deployment-and-inference

7. Language != Thinking

source: https://medium.com/mlearning-ai/language-thinking-362fb1eee0c2

8. What Are Transformer Models and How Do They Work?

source: https://txt.cohere.ai/what-are-transformer-models/

9. 챗GPT와 대규모 언어모델 LLM 비용 분석

source: https://digit2sight.com/%ec%b1%97gpt%ec%99%80-%eb%8c%80%ea%b7%9c%eb%aa%a8-%ec%96%b8%ec%96%b4%eb%aa%a8%eb%8d%b8-llm-%eb%b9%84%ec%9a%a9-%eb%b6%84%ec%84%9d/