AI Engineer World's Fair 2024
Talks from AI Engineer World's Fair 2024, drafted from the AI Engineer channel's own playlists. Editorial metadata is best-effort parsed and under review.
Event 1
Track 9
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1 ↑3
Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou
53.4K views 1.5K likes 27 comments
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2 ↑18
AI Platform Engineering: Patrick Debois
9.8K views 211 likes 2 comments
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3 ↑23
Hiring & Building an AI Engineering Team: Dr. Bryan Bischof
8K views 265 likes 3 comments
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4 ↑23
Real ROI: Lessons from Enterprises that have already succeeded with LLMs at Scale: Raza Habib
7.6K views 254 likes 3 comments
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5 ↑23
Productionizing GenAI Models – Lessons from the world's best AI teams: Lukas Biewald
7.4K views 188 likes 3 comments
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6 ↑26
RAG for VPs of AI: Jerry Liu
6K views 118 likes 6 comments
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7 ↑34
The ROI of AI: Why you need Eval Framework - Beyang Liu
4.1K views 81 likes 5 comments
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8 ↑50
Scaling AI in Education: A Khanmigo case study: Shawn Jansepar
2.5K views 79 likes 2 comments
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9 ↑62
Cooking with fire without burning down the kitchen: Dominik Kundel
1.5K views 47 likes 2 comments
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10 ↑63
LLM Safeguards: Security Privacy Compliance Anti Hallucination: Daniel Whitenack
1.4K views 42 likes 2 comments
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11 ↑76
E-Values Evaluating the Values of AI: Sheila Gulati and Nischal Nadhamuni
739 views 13 likes 0 comments
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12 ↑78
Cohere for VPs of AI: Vivek Muppalla
542 views 9 likes 0 comments
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13 ↑78
Understanding AI Stakes to Break Production Code: Philip Rathle
541 views 6 likes 1 comments
