up:: [[Business, Entrepreneurship, and Technology]] x:: [[The Future of Artificial Intelligence]] tags:: #map/atlas #on/AI # Generative AI ## Overview > *(Personal Statement | Note to Self)* > > ... Lorem ipsum ... ##### My Influences I'm currently doing a [[DBA Emerging Technologies (GenAI)]] at Golden Gate University. ##### My Works I put together a workshop and methodology of leveraging GenAI for sensemaking in [[Sensemaking and Intellectual Output]]. --- ## Related Concepts ##### Lingua Franca * [[Artificial Intelligence (AI)]] seeks to replicate human capabilities like reading, writing, vision, speech etc. Today’s AI uses ML & DL. * [[Machine Learning (ML)]] seeks to build mathematical and computation models from data to make predictions, recommendations etc. * [[Deep Learning]] is a sub-set of Machine Learning inspired by the human brain anatomy which relies on very large computational power and datasets. Performs very well for AI-tasks * [[Data Science]] seeks to find insights in data to solve a specific (business) problem using visualization, EDA and ML. ##### Key Terms * [[Artificial Neural Networks (ANN)]] * [[Attentional Systems (AI)]] * [[Classification Problems]] * [[Context Window]] * [[Ensemble Techniques]] * [[Data Types (AI)]] * [[Deepfake]] * [[Feature Engineering]] * [[Foundation Models]] * [[Multimodal AI]] * [[Generalized Pre-trained Transformers (GPTs)]] * [[Generative Adversarial Network (GAN)]] * **Audio Processing** * [[Speech Recognition]] * [[Speaker Recognition]] * [[Sound Recognition]] * [[Image and Video Processing]] * [[Image Recognition]] * [[Facial Recognition]] * [[Anomaly Detection]] * [[Image Search]] * [[Video Summarization]] * **ML Frameworks** * [[Supervised Learning]] * [[Unsupervised Learning]] * [[Self-Supervised Learning]] * [[Reinforcement Learning]] * **Learning Algorithms** * [[Convolutional Neural Networks (CNN)]] * [[Decision Trees]] * [[Deep Learning]], [[Deep Q-Network]] * [[Policy Gradient Methods]] * [[Logistic Regression]] * [[Naive Bayes]] * [[Random Forests]] * [[Support Vector Machines]] * [[k-Nearest Neighbors]] * [[Test Set]] * [[Training Set]] * [[Markov Decision Processes (MDPs)]] * [[Mode-Change-Tool (MCT)]] * [[Natural Language Processing (NLP)]] * [[Natural Language Understanding (NLU)]] * [[Natural Language Generation (NLG)]] * [[Autocomplete]] * [[Code Autocomplete]] * [[Machine Translation]] * [[Text Classification]] * [[Language Identification]] * [[Sentiment Analysis]] * [[Topic Categorization]] * [[Text Generation]] * [[Text Summarization]] * [[Tokens (NLP)]] * [[Transformers (NLP)]] * [[Word2Vec]] * [[Neural Tuning]] * [[One-Hot Encoding]] * [[Overfitting]] * [[Pattern Recognition]] * [[Variational Autoencoder (VAE)]] * [[Self-Driving Cars]] * [[Synthetic Reality]] * [[Synthetic Users]] ##### Notable References * [[Tesla Autopilot (2015)]] * [[AlphaGo (2016)]] * [[AlphaZero (2017)]] * [[Waymo One (2018)]] * [[MIT Halicin (2019)]] * [[AlphaFold (2020)]] * [[AI Economist (2020)]] * [[GitHub Copilot (2021)]] * [[GNoME (2023)]] * --- ### Author's Corner ##### Unrequited notes Notes that reference this Atlas but yet to be mentioned from here. This query is not meant to work on web (published) versions. ```dataview table file.mtime.year + "-" + file.mtime.month + "-" + file.mtime.day as Modified from [[]] and !#system and !#my and !outgoing([[]]) sort file.mtime desc ```