#AI បញ្ញាសិប្បនិម្មិត ឬ Artificial Intelligence គឺសំដៅទៅលើបញ្ញារបស់ម៉ាស៊ីន ឬកុំព្យូទ័រ ត្រូវបានបង្កើតឡើង ដោយយកត្រាប់តាមបញ្ញារបស់មនុស្ស ពោលគឺជា Program ឬ System មួយ ដែលមានសមត្ថភាពធ្វើឲ្យម៉ាស៊ីន មានរបៀបគិតបានដូចមនុស្ស ដូចជា ការរៀន ភាសា ភាពច្នៃប្រឌិត និងការដោះស្រាយបញ្ហា ដើម្បីធ្វើឲ្យកុំព្យូទ័រឆ្លាតវៃជាងមុន អាចធ្វើការងារជាច្រើនដូចជា ការសរសេរ គូរ កូដ និងបង្កើតគំនិតថ្មីៗដូចមនុស្សអាចធ្វើបានដែលបញ្ញាមនុស្សធ្លាប់ធ្វើ មានន័យថា គេបង្កើតវាឡើង ដើម្បីជាដំណោះស្រាយ ទៅលើបញ្ហាមួយចំនួន ក៏ដូចជាដើម្បីឲ្យវាធ្វើកិច្ចការទាំងឡាយកន្លងមកជំនួសមនុស្សវិញ។ AI ថ្មីៗត្រូវបានអភិវឌ្ឍឡើងជាបន្តបន្ទាប់ វាអាស្រ័យទៅការចេះដឹង បញ្ញា គំនិតវៃឆ្លាត របស់មនុស្សមានកម្រិតណា។
Download 📚 Top 101 Ultimate AI Cheat Sheets (Daily Updating…) ► PDF
AI or Artificial Intelligence is the field of teaching computers to think and act like humans. The goal is to mimic human abilities like learning, language, creativity, and problem-solving. AI researchers are figuring out how to make computers smarter to write, draw, code, and come up with new ideas like humans can. New AI models are constantly being developed that bring us closer to human-level intelligence.
ChatGPT, through the lens of the Dunning-Kruger effect
What is NLP?
NLP, or Natural language processing, is a field in AI where we train and make computers understand human language. So if we ask it a question, it understands and replies.
What is GPT?
GPT, or Generative Pre-trained Transformer, is an NLP AI model.
The idea is simple, in AI, we train the computer to do a certain task, and when we finish, we call the output an AI model.
Here, GPT is the name of the NLP model that is trained to understand human language. We have multiple versions like GPT-2, GPT-3, and 3.5 that are used by ChatGPT.
What is LLM?
We use this term a lot in prompt engineering. It is an abbreviation of the Large Language Model. Like GPT 3 or 3.5. that has 175 billion parameters.
What are Parameters?
When we say that GPT-3 has 175 billion parameters, we mean that the model has 175 billion adjustable settings or “knobs” that can be tuned to improve its performance on various language tasks.
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