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 ↑1
The Future of Knowledge Assistants: Jerry Liu
141.9K views 3.4K likes 34 comments
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2 ↑4
Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
49.2K views 1.7K likes 83 comments
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3 ↑9
What's new from Anthropic and what's next: Alex Albert
20.6K views 451 likes 20 comments
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4 ↑13
Lessons From A Year Building With LLMs
14.6K views 383 likes 9 comments
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5 ↑14
From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
11K views 286 likes 15 comments
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6 ↑15
From Software Developer to AI Engineer: Antje Barth
9.5K views 208 likes 6 comments
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7 ↑17
Open Challenges for AI Engineering: Simon Willison
8.9K views 257 likes 12 comments
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8 ↑21
We accidentally made an AI platform: Jamie Turner
7K views 123 likes 3 comments
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9 ↑21
Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
6.8K views 240 likes 9 comments
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10 ↑27
Decoding the Decoder LLM without de code: Ishan Anand
5.1K views 148 likes 5 comments
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11 ↑27
Realtime Data Connectivity for AI: Tanmai Gopal
5.1K views 128 likes 1 comments
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12 ↑34
Second Order Effects of AI: Cheng Lou
3.7K views 97 likes 1 comments
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13 ↑36
Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
3.4K views 70 likes 0 comments
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14 ↑43
Hyperspace More Nodes Is All You Need: Nicolas Schlaepfer
2.6K views 46 likes 6 comments
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15 ↑60
Copilots Everywhere: Thomas Dohmke and Eugene Yan
1.3K views 18 likes 1 comments
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16 ↑62
Hypermode Launch: Kevin Van Gundy
1.2K views 20 likes 1 comments
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17 ↑69
BotDojo Launch: Enhancing AI Assistants with Evaluations and Synthetic Data
750 views 11 likes 0 comments
