| Technologist | ML ...ย โขย 1y
The Evolution of AI: From Rules to Creativity Artificial Intelligence (AI) has transformed from rigid rule-based systems to todayโs powerful generative AI, capable of creating art, music, and human-like conversations. This shift has been fueled by advances in machine learning, deep learning, and computing power. Early AI: Rule-Based Systems (1950sโ1980s) AI initially relied on rule-based expert systems, such as DENDRAL (1965) for chemical analysis and MYCIN (1970s) for medical diagnosis. These systems were useful for specific tasks but lacked adaptability, requiring constant human updates. Machine Learning & Neural Networks (1990sโ2010s) A breakthrough occurred with machine learning, where algorithms learned from data. Key milestones include: 1997: IBMโs Deep Blue defeated chess champion Garry Kasparov. 2012: AlexNet revolutionized deep learning with its ImageNet win. 2016: Googleโs AlphaGo mastered the game of Go. With deep learning, AI could identify patterns from massive datasets, moving beyond predefined rules. The Rise of Generative AI (2020โPresent) Generative AI now creates text, images, and music. Models like GPT, Bard, and Midjourney showcase its creative potential through: Natural Language Processing (NLP) โ AI that converses like humans. Computer Vision โ AI-generated images from text prompts. Challenges & The Future AI still grapples with bias, misinformation, and privacy concerns. The next leapโAgentic AIโwill bring systems that learn continuously, adapt personally, and enhance human decision-making. As AI grows, ethical considerations will be key to responsible progress.
Hey I am on Medialย โขย 1y
We all know about AI, but do you know what Generative AI is? Generative AI is a unique subset of AI that doesnโt just analyzeโit CREATES. Generative AI produces new contentโlike text, images, or musicโbased on the data itโs trained on. This is why it
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My Favorite AI & ML Books That Shaped My Learning Over the years, Iโve read tons of books in AI, ML, and LLMs โ but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst
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Day 2/100 : free AI resources sharing topic of day : machine learning Books โMachine Learning For Absolute Beginnersย by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf โHands-On Machine Learning with
See MoreFonder @Altravex.ai ...ย โขย 1y
After working in Ai and learning multiple technologies saw exponential growth in this field 1 - Normal Ai 2 - Deep learning and Machine learning models 3 - GenAi ( Generative) 4 - Agentic Ai ( Ai agents) Now with ai agents you don't need anyone's h
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Hello everyone I am an ML tutor ...so from 19 july my new batch is commencing, where I will be teaching All python libraries, Machine Learning and Covering Deep Learning as well from complete basics and scratch along with Deep Learning based projects
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Day 7/60: " Machine has 7 letters " " learning has 8 " You guys better know the reason My name is Anuj Tongse and after the pivot from Deep learning to machine learning Today's updates are here:- The Al Machine Learning Challenge continues! Today
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