The last time I published a NeurIPS paper was back in 2021, so I just reused my old template from 3 years ago. Iโm not sure we will submit to NeurIPS, since I heard that the process it is quite difficult these days ๐
RESEARCH
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Current Approaches to AGI: Reasoning and Advanced Methods Discussion
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Letsโs meet for a @e180labs braindate at #GTC2024: Are current approaches sufficient to get us to AGI? Lets discuss reasoning, NCAs, Q*โฆ @
@NVIDIA https://
a.e180.co/l/CmUyiD/ #braindate # (03/21, 1pm L1) -
Frontier models outperform specialized AIs trained on proprietary data
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There was a moment that we thought proprietary data would let organizations train specialized AIs that could compete with frontier models. It turns out that probably isn't going to happen. The largest frontier models are just much better at most complex tasks than smaller models.
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GPT-4 Outperforms Specialized Finance AI Model
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This remains one of the most consequential experiments in AI: Bloomberg trained a GPT-3.5 class AI on their own financial data last yearโฆ โฆonly to find that GPT-4 8k, without specialized finance training, beat it on almost all finance tasks. Hard to beat the frontier models.
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Combining 500K Models to Train Foundation Models Efficiently
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Training foundation models require enormous resources. We can overcome this by working with the vast collective intelligence of existing models. @HuggingFace has over 500k models in dozens of modalities that, in principle, can be combined to form new models with new capabilities!
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Evolutionary Model Merge: Automating Foundation Model Development
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Introducing Evolutionary Model Merge: A new approach bringing us closer to automating foundation model development. We use evolution to find great ways of combining open-source models, building new powerful foundation models with user-specified abilities!https://t.co/G0EyM7pztr pic.twitter.com/msOokvqGbR
— Sakana AI (@SakanaAILabs) 21 mars 2024Introducing Evolutionary Model Merge: A new approach bringing us closer to automating foundation model development. We use evolution to find great ways of combining open-source models, building new powerful foundation models with user-specified abilities! https://
sakana.ai/evolutionary-m
odel-merge/
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Sakana AI Introduces Evolutionary Model Merge Method
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Sakana AIใฎๆๅใฎ็ ็ฉถๆๆใงใใใ้ฒๅ็่จ็ฎใซใใๅบ็คใขใใซๆง็ฏใซ้ขใใ่ซๆใๅ ฌ้ใใพใใใๅคๆงใชๆขๅญใขใใซใ่ชๅ็ใซ่ๅใๅชใใๅบ็คใขใใซใๆง็ฏใใใใใฎๆนๆณใๆๆกใใใจๅ ฑใซใใใใซใใ่ฉฆไฝใใใขใใซใๅ ฌ้ใใพใใใ
— Sakana AI (@SakanaAILabs) 21 mars 2024
ใใญใฐ https://t.co/E4Ao87UXXi
่ซๆ https://t.co/YtH7wEQHf1โฆ pic.twitter.com/JcNabJukOtSakana AIใฎๆๅใฎ็ ็ฉถๆๆใงใใใ้ฒๅ็่จ็ฎใซใใๅบ็คใขใใซๆง็ฏใซ้ขใใ่ซๆใๅ ฌ้ใใพใใใๅคๆงใชๆขๅญใขใใซใ่ชๅ็ใซ่ๅใๅชใใๅบ็คใขใใซใๆง็ฏใใใใใฎๆนๆณใๆๆกใใใจๅ ฑใซใใใใซใใ่ฉฆไฝใใใขใใซใๅ ฌ้ใใพใใใ ใใญใฐ https://
sakana.ai/evolutionary-m
odel-merge-jp
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่ซๆ https://
arxiv.org/abs/2403.13187 -
Moving from Large Language Models to Vision Language Models
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https://
drdebashisdutta.com/moving-from-la
rge-language-models-llm-to-vlms-vision-language-models-vlms/
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Practical Machine Learning for Computer Vision End-to-End Image Processing
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Practical #MachineLearning for #ComputerVision โ End-to-End ML for Images: http://
amzn.to/4ajfVSf
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#BigData #DataScience #AI #DeepLearning #ML #IoT #IIoT #Edge #EdgeComputing #EdgeAI #ObjectDetection #Algorithms #NeuralNetworks #DataScientists #Industry40 -
The Art of Statistics: Learning from Data and Big Data Analytics
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The Art of #Statistics โ How to Learn from Data: http://
amzn.to/48c8xpG
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#BigData #Analytics #DataAnalysis #DataAnalytics #DataScience #ML #MachineLearning #AI #DataScientists #DataLiteracy #DataFluency #DataLeadership #BeDataBrilliant #StatisticalLiteracy #CDO #CMO #CTO #CISO