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Transformers Revolutionized NLP in 2017
The Transformer architecture, introduced in the 2017 paper 'Attention Is All You Need' by Vaswani et al. at Google, replaced recurrent neural networks and became the foundation for virtually every modern large language model including GPT, Claude, Gemini, and Llama.
Demis Hassabis on AI for Science
""AI could be the most transformative technology in human history, even more so than fire or electricity.""
Deep Blue vs. Kasparov
Q: In what year did IBM's chess-playing computer, Deep Blue, defeat world chess champion Garry Kasparov in a famous six-game match?
A: 1997.
AlphaGo's Opponent
Q: Which legendary Go player did DeepMind's AlphaGo famously defeat in a historic 2016 match?
A: Lee Sedol.
The Turing Test
Q: What is the name of the test proposed by Alan Turing in 1950 to determine if a machine can exhibit intelligent behavior indistinguishable from that of a human?
A: The Turing Test (originally called the Imitation Game).
First AI Program
Q: Question not available.
A: Answer not available.
The 'Transformer' Architecture
Most modern LLMs, including GPT and Gemini, are based on the Transformer architecture, introduced in the 2017 paper 'Attention Is All You Need.' Its key innovation is the attention mechanism.
The Turing Test
The Turing Test, proposed by Alan Turing in 1950, tests a machine's ability to exhibit intelligent behavior indistinguishable from a human. Despite advances in AI, no system has conclusively passed a rigorous version of the test.
Who coined the term 'Artificial Intelligence'?
Q: Who coined the term 'Artificial Intelligence'?
A: John McCarthy in 1956, at the Dartmouth Conference.
Be Wary of Long Conversations
In conversational AI, the entire chat history is often sent with each new message, increasing token count. Summarize or truncate past history for long conversations to manage costs.
Analyze Token Overlap in Conversations
In chat applications, analyze how much of the conversation history is repeated tokens. Strategies like summarization can reduce this significantly.
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