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목록🌳Joyful AI Research Odyssey🍀😊✨ (6)
A Joyful AI Research Journey🌳😊
When I took lectures about AI, there were statements suggesting that many jobs, including in fields like coding, law, journalism, advertising, marketing, stock trading, and graphic design, could soon be replaced by AI due to its ability to recognize and work with patterns. This is largely due to the advanced capabilities of AI models in identifying and interpreting patterns in data, a process in..
ChatGPT, OpenAI These topics are central to the field of artificial intelligence and are particularly relevant to the pursuit of Artificial General Intelligence (AGI): Transfer Learning: Definition: Transfer learning is a machine learning method where a model developed for a specific task is reused as the starting point for a model on a second task. It's a popular approach in deep learning becau..
What I found most shocking about this research is that it closely resembles the 'Simulation Theory' – the idea proposed by some physicists that our reality might be a computer simulation, potentially designed by a higher power or advanced civilization. A higher power or advanced civilization ▶ Computer Simulation ▶ Human life In simpler terms: A higher power or advanced civilization might have c..
In the constantly evolving realm of artificial intelligence, a recent article by Troy Woodson caught my attention. Published on July 10, 2023, the piece titled "How AI Can Have a Personality and Why It Matters" delves deep into the concept of AI personalities, especially concerning Large Language Models (LLMs). According to Woodson, AI is not just an amalgamation of algorithms and data. LLMs lik..
One of the best ways to truly understand the potential and application of artificial intelligence is by examining real-world systems currently in operation. For instance, in late 2016, Google unveiled its cutting-edge Neural Machine Translation System. This isn't just another research paper; this system now powers Google Translate, one of the most widely-used translation tools globally. You can ..
The "Attention Is All You Need" paper by Vaswani et al. (2017) introduced the Transformer architecture, a groundbreaking method in Natural Language Processing. Access the paper and its PDF version through the following links: Read the Paper on arXiv https://arxiv.org/abs/1706.03762 Attention Is All You Need The dominant sequence transduction models are based on complex recurrent or convolutional..