the trend is only one way – one of MIT Lincoln Laboratory Supercomputing Center (LLSC) techniques can reduce the energy of training AI models by 80%.
RESEARCH
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We Must Embrace AI’s Uncertain Future with Optimism
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Le journal @LaTribune résume ma pensée sur l’IA : « Nous sommes montés dans un véhicule qui va de plus en plus vite et dont on ne sait pas où il va, s'exclame Rafik Smati […]. Mais il se veut optimiste.» Optimiste ? À vrai dire, nous n’avons pas le choix. Soit nous embrassons
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AI Architect Tomorrow’s Smart Cities Aligned UN SDGs
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AI: The Architect of Tomorrow's Smart Cities Aligned with UN SDGs https://
linkedin.com/pulse/ai-archi
tect-tomorrows-smart-cities-aligned-un-sdgs-nicolas-babin-goehe
… I hope this works dear Shi -
Verse-jumping Technology: Parallel Self Access and Memory Integration
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Reminds me of verse-jumps.
"In the Alphaverse, the late Alpha-Evelyn developed "verse-jumping" technology, which enables people to access the skills, memories, and bodies of their parallel selves by performing bizarre actions that are statistically unlikely." https://
x.com/katherine1ee/s
/katherine1ee/status/1729690964942377076
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SFT demos more likely than pre-training data
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Based on the content seems more likely SFT demos than pre-train data.
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Repetition in GPT-3 prompts elicits base-model-like generations, now confirmed
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Fascinating work — I noticed repetition elicits base-model-like generations in GPT-3 last year but assumed they were fully hallucinated. Kicking myself now. As of August you could also do token repeats within a prompt to get base-like completion of grammatically incomplete text:
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LoRA Adaptors Enable Precise Control in Diffusion Models
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Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models Gandikota et al.: https://
arxiv.org/abs/2311.12092 #ArtificialIntelligence #DeepLearning #MachineLearning -
Python Auditory Toolbox: Audio Processing for AI Applications
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MalcolmSlaney/python_auditory_toolbox: This is a Python implementation of the Auditory Toolbox https://
bit.ly/410pdOT
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Fluency Does Not Equal Intelligence in Large Language Models
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Good essay on the fallacy of assuming that LLMs are intelligent because they are fluent.
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AI in Creative Fields: Interview with Loove Co-founder
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What do we want from AI in the creative world? @stanfordhai associate director @gewang interviews Srinija Srinivasan, co-founder of Loove, in Episode 3 of the new HAI vodcast, OffScript, live on December 13. Register here: https://t.co/UDnpI6wKYF pic.twitter.com/TobF95Ym2I
— Stanford HAI (@StanfordHAI) 28 novembre 2023What do we want from AI in the creative world? @stanfordhai associate director @gewang interviews Srinija Srinivasan, co-founder of Loove, in Episode 3 of the new HAI vodcast, OffScript, live on December 13. Register here: https://
stanford.io/4ab7sRp