How to train your own Large Language Models https://
bit.ly/44wZq2d #AI #MachineLearning #DeepLearning #LLMs #DataScience
RESEARCH
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How to Train Your Own Large Language Models
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Defining Progress and Complexity in Artificial Intelligence
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What does it mean to make progress or increase complexity in your view?
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Bottlenecks in AI Progress: Scientific Advancement vs Founder Talent
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Yeah! I think it’s a good question what the actual bottleneck is. I think @itsurboyevan would say it’s fundamentally scientific progress. I think that’s part of it. @pmarca has said it’s not enough truly exceptional founders. I think both are probably true
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AI Breakthrough in Managing Brittle Diabetes Treatment
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https://
freethink.com/health/brittle
-diabetes
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Margaret Hamilton’s Software Made Apollo 11 Moon Landing Possible
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#otd in 1969, Apollo 11 took off – and then landed a man on the moon – thanks to software from an MIT team led by 32-year-old Margaret Hamilton.
— MIT CSAIL (@MIT_CSAIL) 16 juillet 2023
Full video: https://t.co/2mlGxroap7 (v/@MAKERSwomen)
More: https://t.co/sKTat9qbVW (v/@SmithsonianMag) #Apollo11 @NASA pic.twitter.com/Ob2Dn3BShv#otd in 1969, Apollo 11 took off – and then landed a man on the moon – thanks to software from an MIT team led by 32-year-old Margaret Hamilton. Full video: http://
bit.ly/2XxYlDM (v/
@MAKERSwomen
) More: http://
bit.ly/2XvI5mt (v/
@SmithsonianMag
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AI Deadlines tool helps track conferences and submission deadlines
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Lately, I have been looking for tools that keep tracks of AI conferences and corresponding deadlines. Came to find AI Deadlines by amazing Papers With Code. AI Deadlines looks sufficiently enough and hope it stays up to date. http://
aideadlin.es -

Multimodal Transformer Foundation Model for Image and Text Generation
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10/ Generative Pretraining in Multimodality – presents a new transformer-based multimodal foundation model to generate images and text in a multimodal context; enables performant multimodal assistants via instruction tuning.
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Training Small Transformers on Arithmetic with Chain-of-Thought
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8/ Teaching Arithmetics to Small Transformers – trains small transformers on chain-of-thought data to improve accuracy and convergence speed and highlights the importance of high-quality instructive data for rapidly eliciting arithmetic capabilities.
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AnimateDiff: Motion Module for Personalized Animated Image Generation
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9/ AnimateDiff – appends a motion modeling module to a frozen text-to-image model, which is then trained and used to animate existing personalized models to produce diverse and personalized animated images. https://t.co/L4VOSdideP
— DAIR.AI (@dair_ai) 16 juillet 20239/ AnimateDiff – appends a motion modeling module to a frozen text-to-image model, which is then trained and used to animate existing personalized models to produce diverse and personalized animated images.
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LLMs as General Pattern Machines: In-Context Learning and Robotics
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6/ LLMs as General Pattern Machines – shows that without any additional training, LLMs are general sequence modelers, driven by in-context learning; applies 0-shot capabilities to robotics and transfer the pattern among words to actions.