AI
Large Language Models
Research
Unlock 🚀 900% Logic & Reasoning Improvement with New Prompt (GPT-4)
In this video, Matthew Berman reviews a recently published paper from Google Deepmind and Princeton that describes a new prompting technique to achieve far greater accuracy on logic and reasoning problems with ChatGPT (GPT-4). I’ll also show you how to install and run code implementing this technique. Links: Paper – https://arxiv.org/abs/2305.10601 GitHub – https://github.com/kyegomez/tree-of-thoughts
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Machine Learning
Python
Machine Learning FOR BEGINNERS – Perceptron with Code Example
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Frank
- June 29, 2021
- activation function
- AI
- ai for beginners
- AI tutorial
- artificial intelligence
- artificial intelligence for beginners
- artificial intelligence tutorial
- basic neural network
- basic perceptron
- bias
- input
- Machine Learning
- machine learning for beginners
- ML
- Neural Network
- neuron
- output
- Perceptron
- perceptron example
- Python
- python ai
- python machine learning
- python perceptron
- python step function
- simple ai
- simple machine learning
- step function
- threshold
- weighted sum
Python Simplified talks about the perceptron and code it together in Python.
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Machine Learning
Python
Machine Learning for Beginners: Binary Cross Entropy Loss Error Function
-
Frank
- June 26, 2021
- AI
- ai for beginners
- artificial intelligence
- artificial intelligence for beginners
- binary
- binary cross entropy
- binary log loss
- cost
- cost function
- cross entropy
- cross entropy loss
- Data Science
- error function
- error term
- input
- label
- log loss
- logarithm
- loss function
- Machine Learning
- machine learning for beginners
- Math
- Mathematics
- mean
- ML
- Perceptron
- Prediction
- Python
- python machine learning
- python programming
- python tutorial
- Statistics
- Target
- weights
- y hat
- y'
In this lesson from Python Simplified learn the binary Log Loss/Cross Entropy Error Function and break it down to the very basic details.
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