Biomaker CA: a Biome Maker project using Cellular Automata paper page: https://
huggingface.co/papers/2307.09
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… introduce Biomaker CA: a Biome Maker project using Cellular Automata (CA). In Biomaker CA, morphogenesis is a first class citizen and small seeds need to grow into plant-like
MACHINE LEARNING
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Biomaker CA: Growing Plant-Like Forms with Cellular Automata
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Circuit Analysis Interpretability Scaling in Chinchilla Language Models
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Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla paper page: https://
huggingface.co/papers/2307.09
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… Circuit analysis is a promising technique for understanding the internal mechanisms of language models. However, existing analyses are done -
Augmenting CLIP with Improved Visio-Linguistic Reasoning
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Augmenting CLIP with Improved Visio-Linguistic Reasoning paper page: https://
huggingface.co/papers/2307.09
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… Image-text contrastive models such as CLIP are useful for a variety of downstream applications including zero-shot classification, image-text retrieval and transfer learning. However, -
Orca: Progressive Learning from GPT-4 Explanation Traces
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https://
microsoft.com/en-us/research
/publication/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4/
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Step-by-Step Reasoning Improves AI Learning Like Human Cognition
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Eerie and logical that step-by-step reasoning is a better way to teach AI systems given that’s how we humans learn complex tasks. “Our research indicates that learning from step-by-step explanations, whether these are generated by humans or more advanced AI models, is a
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New 70B Model Outperforms Open Source Language Models on Benchmarks
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Our new 70B model outperforms published results from other open sourced language models across external benchmarks such as MMLU, TriviaQA, GSM8K, AGIEval and more.
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Llama 2: Advanced Open Language Model with Expanded Context Length
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Llama 2 is a step forward for commercially available language models and open innovation in AI. These new models were pretrained on 2T tokens, and have double the context length when compared to the original release of Llama. Download Llama 2 https://
bit.ly/3Q45cDS -
SimPer: Self-Supervised Contrastive Learning for Periodic Data
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SimPer is a self-supervised contrastive framework for learning periodic information in data, while improving data efficiency and generalization to distribution shifts. Check it out and copy the code → https://t.co/P7eEpf1AKq pic.twitter.com/40G18nzKeu
— Google AI (@GoogleAI) 18 juillet 2023SimPer is a self-supervised contrastive framework for learning periodic information in data, while improving data efficiency and generalization to distribution shifts. Check it out and copy the code → https://
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30 MLOps Requirements: Abacus AI Simplifies Machine Learning
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Building Machine Learning Systems is hard. Here are 30 requirements for an MLOps environment. At @abacusai
, we worry about this for you. You bring the data; we do the rest. (Source: "Requirements and Reference Architecture for MLOps: Insights from Industry") -
Generative AI: Beyond Cherry-Picked Demos to Practical Applications
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Generative AI has made great strides, producing images, text, video & music. However, differentiate between cherry-picked demos & practical use cases. Models act as components in intelligent systems, not minds. For more, see JayAlammar's article series: