1. What Does ChatML Mean For Prompt Chaining Applications
source: https://medium.com/@cobusgreyling/what-does-chatml-mean-for-prompt-chaining-applications-e551d53f883
2. Using ChatGPT to build System Diagrams — Part I
source: https://aruva.medium.com/using-chatgpt-to-build-system-diagrams-part-i-69efc7603926
3. Using ChatGPT to build system diagrams — Part II
source: https://aruva.medium.com/using-chatgpt-to-build-system-diagrams-part-ii-a17d02f0dcb7
4. 전 세계를 들썩이게 만든 ‘챗GPT’
5. What is Google AI Bard?
6. Prompt Engineering — Part I — How to interact with Large Language Models
7. Prompt Engineering — Part II — How to construct prompts
source: https://medium.com/mantisnlp/prompt-engineering-part-ii-how-to-construct-prompts-de333dcf4c85
8. Prompt Engineering — Part III — Examples of prompt construction
9. Can GPT-3 or BERT Ever Understand Language?—The Limits of Deep Learning Language Models
source: https://neptune.ai/blog/gpt-3-bert-limits-of-deep-learning-language-models
10. How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources
'Daily-Trend-Review' 카테고리의 다른 글
2023/03/13: Building a Multi-Turn Chatbot, AGI by 2024 등 (0) | 2023.03.13 |
---|---|
2023/03/12: 학습 데이터 문제, AI 모델이 의식을 가질 수 있을 것인지.. (0) | 2023.03.12 |
2023/03/09: AI/ML landscape (0) | 2023.03.08 |
2023/03/08: Disffusion Models Course, LM vs Thinking 등 (0) | 2023.03.08 |
2023/03/07: Specialized LLMs, Prompt Engineering 등 (0) | 2023.03.07 |