What can you actually make with Machine Learning? -Image classification
-Prediction models
-Speech recognition
-Natural language processing (GPT-3)
-Recommendation systems The possibilities are endless. (Personally, I think Natural Language Processing is the most )
@aibreakfast
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Common Applications of Machine Learning Explained
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Explaining the Difference Between AI and ML
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First off, what's the difference between AI and ML? "AI" is a broad field that encompasses the development of intelligent machines and software, while Machine Learning is a specific approach to achieving artificial intelligence using algorithms & models that can learn from data.
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AI Tools Democratize Creativity and Spark a New Golden Age
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AI tools for writing, image creation, design, and music could unleash a Golden Age of creativity that may rival the Renaissance. Many will discover they have an imagination that they previously did not have the technical ability to unleash. AI democratizes creativity.
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Analysis of False Positives in GPT Plagiarism Detection
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Follow-up to GPT "Plagiarism" Detector: False positives are common. With a piece of 100% original human writing, and the prediction came back as 84% Fake. It appears that syntax (sentence structure) influences the output quite a bit.
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AI’s transformative economic impact and opportunity expansion
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AI will open 10x the amount of doors for individual economic opportunity than it closes, much like the computer did when it was introduced The amount of large 1 person companies that will emerge will be astounding AI is an inexpensive, distributed, intelligent Gutenberg press
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Harvard and OpenAI Create Effective AI Output Detector
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Think ChatGPT can write all of your homework for you? Think again, for machine learning is a double-edged sword. Folks from Harvard teamed up with OpenAI to create an "output detector" to scan for AI-plagiarized text… …and it works wonderfully. Check this out
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GPT-2 Output Detector Demo for AI-Generated Text Detection
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The model, called "GPT-2 Output Detector Demo" assigns a probability score to text to determine if it was generated by a GPT model (not just GPT-2, as the name suggests). It is currently available on @huggingface https://
huggingface.co/roberta-base-o
penai-detector
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Using ChatGPT and AI Detector on Generated Essay
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We used ChatGPT to generate a quick 300 word essay (took 18 seconds) about the Wright Brothers. The essay, copied and pasted, revealed a 99.97% Fake score on the Output Detector model – this score is determined without revealing the prompt.
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New ChatGPT Release Improves Response Reliability
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New ChatGPT from Release Notes: 1. General performance: Among other improvements, users will notice that ChatGPT is now less likely to refuse to answer questions. (continued)
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Semantic Search Using Transformer-Based Language Models
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The significance of going from "keyword" search to "semantic" search cannot be overstated. With Transformer based language models, search results are chosen based on compatibility in meaning rather than lexical overlap. http://
deepset.ai/blog/how-to-bu
ild-a-semantic-search-engine-in-python
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