What ChatGPT and generative AI mean for science Nature provides machine-learning models, research, training resources, or evaluation tools.
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What We Know About LLMs (Primer) provides machine-learning models, research, training resources, or evaluation tools.
Where AI evolves from here provides machine-learning models, research, training resources, or evaluation tools.
Why LLaMa Is A Big Deal Hackaday provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Wolfram LLM Benchmarking Project provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
YCombinator profile provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.
Paper by Dipankar Dasgupta, Deepak Venugopal and Kishor Datta Gupta.
Collection of prompt patterns, experiments, and research around agentic AI workflows and prompting strategies.
Paper published in the Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society.
The AI Scientist: Towards Fully Automated Open-Ended Scientific.
A super-easy way to record, search and compare 1000s of ML training runs.
Easy way to turn any app into searchable data for LLMs.
Set of seminal AI/ML papers curated by Aman Chadha.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.
Automatic architecture search and hyperparameter optimization for PyTorch.