일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | |||||
3 | 4 | 5 | 6 | 7 | 8 | 9 |
10 | 11 | 12 | 13 | 14 | 15 | 16 |
17 | 18 | 19 | 20 | 21 | 22 | 23 |
24 | 25 | 26 | 27 | 28 | 29 | 30 |
- Absolute
- AGI
- ai
- AI agents
- AI engineer
- AI researcher
- ajax
- algorithm
- Algorithms
- aliases
- Array 객체
- ASI
- bayes' theorem
- Bit
- Blur
- BOM
- bootstrap
- canva
- challenges
- ChatGPT
- Today
- In Total
목록🌳AI Projects: NLP🍀✨/Guides🛤️ (3)
A Joyful AI Research Journey🌳😊
ChatGPT, OpenAIYes, using Retrieval-Augmented Generation (RAG) would indeed be a better choice for the scenario where you want to write prompts like "write a positive review about a certain movie" or "write a negative review about a certain movie." Here’s why RAG is more suitable for this task:1. Contextual Relevance and Specificity:RAG can retrieve specific reviews or information related to the..
ChatGPT, OpenAIPretraining GPT-2 with Rotten Tomatoes data and incorporating Retrieval-Augmented Generation (RAG) with the same data are two different approaches with distinct goals and outcomes. Here’s a breakdown of the differences:1. Pretraining or Fine-Tuning GPT-2 with Rotten Tomatoes DataWhat It Is:Pretraining: Training GPT-2 from scratch using a large corpus like Rotten Tomatoes data (not..
ChatGPT, OpenAI The choice of a "news" theme for the project example was based on several considerations: Relevance: News articles are a universally recognized type of content that everyone understands. Given the company's vision of creating a world without language barriers through real-time multilingual translation, the news domain provides a practical example of how such a technology would be..