Raw LLM Responses
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G
@yesand5536 Well, here's one study done in the medical field.
April 28, 2023
Co…
ytr_UgxJaKJat…
G
@LutzLeonhardt-ot1kx I have had the same experience as all of you, not just with…
ytr_UgxHSsrP8…
G
IMO there are more practical applications for generative AI than NFTs, so I'm no…
ytr_Ugx6fyT4c…
G
False premise. There's no way to know if AI is overrated, since it doesn't exis…
ytc_UgzqgktRy…
G
I appreciate the comments ,both pro and con, on the A.I. topic. I think that a …
ytc_UgwLbfOKb…
G
If it was up to me, I would put a electric axle on a dolly and move road trains.…
ytc_UgztMmfOF…
G
Complaining that AI is going to steal artist's jobs therefore is bad is barking …
ytc_UgxhwRLnQ…
G
Not me bouta traumatize a character by killing off the character the ai just fel…
ytc_UgxvD-QAR…
Comment
Search Algorithms
=================
1. Greedy BFS
2. A* Search
3. Depth-First Search (DFS)
4. Breath-First Search (BFS)
Neural Networks
=================
1. Single Layer Perceptrons (SLP)
2. Generative Adverserial Network (GAN) (Unsupervised)
3. Naive Bayes Classifier (NBC) (Supervised)
4. K-Nearest Neighbours Classifier (KNN), K-Means Clustering, vector quantization (Supervised)
5. Convolutional Neural Network (CNN), Image convolution, max-pooling (Supervised)
6. Recurrent Neural Networks
7. Autoencoders
8. Transformers
Optimization Algorithms
=================
1. Stochastic Gradient Descent
2. Support Vector Machines (SVM) (Classifcation/Regression) (Supervised)
3. Backpropogation
Reinforcement Learning
=================
1. Q-learning
Activation Functions
=================
1. Sigmoid
2. Rectified Linear Unit (ReLU)
Natural Language Processing (NLP)
=================
1. Bag-of-Words (BoW)
2. Word Embedding (Word2Vec) (Unsupervised)
Statistics
=================
1. Naive Bayes
2. Cost/Loss function
3. Simulated Annealing (SA)
4. Linear Regression
5. Hidden Markov Model (HMM)
Logic
=================
1. Propositional logic
2. First-order logic
youtube
AI Governance
2024-05-27T10:2…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_Ugzo0DgYipR5MJkmpv94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgyeQzkVY4DPQs06gmx4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"approval"},
{"id":"ytc_Ugx6eXh9TSL648K6rdh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgxMAfQuZ21iFQ5ElEl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgyaUv8w4dg7pOo-xIh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_Ugx-HBxcggGzU_0p5gp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_Ugz6TI3tK6KvDJYBsQl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwWZfVlx1OIDMEWntF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgxdCmB-PGkHzev_aSp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugyv1MKwKddvfhQSkA94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}
]