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Classroom Contents
AI in Search in 2023
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- 1 Intro
- 2 What is Veara
- 3 Talk Outline
- 4 Search Engine Challenges
- 5 Search and AI
- 6 History of search
- 7 Time
- 8 Retrieval
- 9 Neural IR
- 10 Tokenization
- 11 Handling typos
- 12 Handling vocabulary tokens
- 13 Retrieval models
- 14 Training models
- 15 Positive signals
- 16 Negative mining
- 17 Types of systems
- 18 Behavioral matching
- 19 Search architectures
- 20 Alibaba
- 21 Conversational search
- 22 User expectation of search
- 23 Models make stuff up
- 24 GP Open AI
- 25 Galactica Model
- 26 Hallucination
- 27 Why do models hallucinate
- 28 How are people using these models
- 29 Problems with closed book systems
- 30 Training our own model
- 31 LLM leaderboard
- 32 New York Times article
- 33 Next steps
