https://blog.google/products/search/google-lens-tips-202
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https://www.linkedin.com/posts/laszloga_veo2-activity-7278344748464029696-z18_
https://www.linkedin.com/posts/laszloga_veo2-veo2-activity-7279424228779507712-zDgC
https://www.linkedin.com/posts/laszloga_veo2-activity-7280530104722583552-tGgJ
https://www.linkedin.com/posts/laszloga_veo2-activity-7280881794663510016-e8i8
https://www.linkedin.com/posts/laszloga_veo2-activity-7277947758932606976–7i9
https://www.linkedin.com/posts/laszloga_veo2-activity-7283050136446935041-EJGs
Listen to the podcast in the post
“I just created a AI-Generated podcast by feeding an article I write into Google’s NotebookLM. If I hadn’t make it myself, I would have been 100% fooled into thinking it was real people talking.”
https://www.fastcompany.com/91132974/shocking-google-ai-overview-answers
No. Do NOT eat rocks or put them into food!
1. Introduction to Large Language Models: Learn about the use cases and how to enhance the performance of large language models.
https://www.cloudskillsboost.google/course_templates/539
2. Introduction to Generative AI: Discover the differences between Generative AI and traditional machine learning methods.
https://www.cloudskillsboost.google/course_templates/536
3. Generative AI Fundamentals: Earn a skill badge by demonstrating your understanding of foundational concepts in Generative AI.
https://www.cloudskillsboost.google/paths
4. Introduction to Responsible AI: Learn about the importance of Responsible AI and how Google implements it in its products.
https://www.cloudskillsboost.google/course_templates/554
5. Encoder-Decoder Architecture: Learn about the encoder-decoder architecture, a critical component of machine learning for sequence-to-sequence tasks.
https://www.cloudskillsboost.google/course_templates/543
6. Introduction to Image Generation: Discover diffusion models, a promising family of machine learning models in the image generation space.
https://www.cloudskillsboost.google/course_templates/541
7. Transformer Models and BERT Model: Get a comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model.
https://www.cloudskillsboost.google/course_templates/538
8. Attention Mechanism: Learn about the attention mechanism, which allows neural networks to focus on specific parts of an input sequence.
https://www.cloudskillsboost.google/course_templates/537
https://www.binance.com/en/feed/post/144141
OpenAI, the corporation behind ChatGPT, has announced plans to introduce a new watermarking feature to help Google detect AI generated text. Watermarked text in ChatGPT will include cryptography in the form of embedding a word pattern, letters, and punctuation in the form of a secret code.
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