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Sticky Note

USE OF AI

John McCarthy is often called the Father of Artificial Intelligence.

In 1950 Alan Turing gave the idea of the Turing Test, asking whether machines can think like humans.

1955–1956: John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon started the Dartmouth AI project; this is known as the beginning of Artificial Intelligence.
2012: Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton made a deep-learning breakthrough with AlexNet, starting the modern AI revolution.
2017: Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan Gomez, Łukasz Kaiser, and Illia Polosukhin introduced the Transformer model, which became the base of modern chatbots.
2022: OpenAI released ChatGPT, which made AI popular worldwide. 2023-GPT-4 and 2024-GPT40

Current AI Developers / Leaders: Sam Altman founded OpenAI in 2015, Demis Hassabis founded Google DeepMind in 2010, Dario Amodei founded Anthropic/Claude in 2021, Elon Musk founded xAI in 2023, and Arthur Mensch founded Mistral AI in 2023.

Must Read: Important AI, Machine Learning Techniques are


چار آپشن میں سے کسی ایک پر کلک کرنے سے جواب سرخ ہو جائے گا۔

  1. Generative AI
  2. AI-assisted digital forensics
  3. Path planning
  4. Robotics
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. Spam filtering
  2. Word tokenization
  3. Deepfake detection via Computer Vision
  4. BFS search
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. Actual cost from start
  2. Total number of nodes
  3. Memory used
  4. Estimated cost to goal (heuristic)
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. Random
  2. Admissible (never overestimates)
  3. Negative
  4. Always zero
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. Transformer
  2. CNN
  3. Perceptron
  4. K-Means
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. Perfect generalization
  2. Too few features
  3. Underfitting
  4. Overfitting
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. More epochs
  2. Higher learning rate
  3. Larger images
  4. LSTM/GRU gates
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. Formatting disks
  2. Encrypting files
  3. Blocking all traffic
  4. Identifying deviations from normal user behavior
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. They cannot read text
  2. Hallucinations producing false but convincing outputs
  3. They never make errors
  4. They store no data
اس سوال کو وضاحت کے ساتھ پڑھیں

  1. Encrypt prompts
  2. Align model outputs with human preferences
  3. Reduce dataset size
  4. Compress models
اس سوال کو وضاحت کے ساتھ پڑھیں

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