Financial AI
Finance is all just data. Data in – processing –> data out This is the perfect use case for AI. AI systems …
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Field notes / author
Author: anuj
15 field notes
AI discovers different pathways on it’s own
Nick Bostrom outlines a way that AI may discover an unanticipated way to accomplish a set goal E.g. – if it is…
Read the field noteDeep Neural Nets using Tensorflow
TensorFlow Overview TensorFlow is an open-source machine learning framework developed by the Google Brain team. It provides a comprehensive ecosystem of tools,…
Read the field noteAI Recommender Systems
Key types of filtering based on recommender systems include: 1. Collaborative Filtering Collaborative filtering is a method used to make automatic predictions…
Read the field noteClassification Models in Machine Learning
1. Logistic Regression Logistic regression is a statistical method for binary classification problems. It models the probability that a given input belongs…
Read the field noteNeural Network Architecture and Applications
1. Neural Network Architecture The basic structure and components of neural networks. Key points include: Layers: Neural networks are composed of layers—input,…
Read the field noteAI Cybersecurity
Q: How do Large Language Models (LLMs) contribute to cybersecurity? A: LLMs leverage extensive data to understand security threats and communicate predictions…
Read the field noteFAQ – AI Cybersecurity – Small AI Models and Large Language Models in AI Cybersecurity
There are two different classes of AI models behind AI-powered cybersecurity, large language models (LLMs) and small AI models. Both offer opportunities…
Read the field noteWhat is AI Security?
AI security refers to the measures and practices designed to protect artificial intelligence systems and their associated data from threats and vulnerabilities.…
Read the field notePenrose’s Take on AI versus Human Intelligence
What happens inside the human brain (at the time of ‘learning’) is something non computational. It falls into those class of computing…
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