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Tech for good

[Google Cloud Skills Boost(Qwiklabs)] Gemini for Google Workspace - 03. Gemini in Google Docs

01. Use Gemini to generate written content   02. Use Gemini to refine written content  03. Proofread your document for spelling, grammar, style, and word choice by using Gemini
IT/Cloud 2024. 6. 13. 12:44
[Google Cloud Skills Boost(Qwiklabs)] Introduction to Generative AI Learning Path - 9. Create Image Captioning Models

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Introduction 1. Pass images to encoder 2. Extract information from the images 3. Create some feature vectors 4. Vectors are passed to the decoder 5. Build captions by generating words, one by one. Decoder It gets words one by one and makes the informatio..
IT/Cloud 2023. 9. 30. 15:31
[Google Cloud Skills Boost(Qwiklabs)] Introduction to Generative AI Learning Path - 3. Introduction to Responsible AI

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Google will not design or deploy AI in these four application areas:
IT/Cloud 2023. 8. 28. 01:08
[Google Cloud Skills Boost(Qwiklabs)] Introduction to Generative AI Learning Path - 2. Introduction to Large Language Models

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Pre-trained: for general purpose with a large data set Fine-tuned: for specific aims with a much smaller data set Transformer model (e.g. PaLM) A transformer model consists of encoder and decoder. Encoder - encodes the input sequence and passes it to the..
IT/Cloud 2023. 8. 27. 16:18
[Google Cloud Skills Boost(Qwiklabs)] Introduction to Generative AI Learning Path - 1. Introduction to Generative AI

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com semi-supervised learning = 소량의 labeled data + 대량의 unlabeled data The labeled data -> neural network이 task의 basic concepts을 알 수 있게 도와줌. The unlabeled data -> neural network이 새로운 예시들을 일반화할 수 있게 도와줌.
IT/Cloud 2023. 8. 27. 01:01
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