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Researchers from MIT CSAIL came up with PIGINet, a novel machine learning-based system that improves household robots' efficiency by using multimodal input sequences to anticipate and select feasible task plans, reducing planning time and enabling adaptability in diverse environments.
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
We are excited to announce the release of PyTorch® 1.13 (release note)! This includes Stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.
Discussion: Discussion Thread for comments, corrections, or any feedback. Summary: The latest batch of language models can be much smaller yet achieve GPT-3 like performance by being able to query a database or search the web for information. A key indication is that building larger and larger models is not the only way to improve performance. The last few years saw the rise of Large Language Models (LLMs) – machine learning models that rapidly improve how machines process and generate language. Some of the highlights since 2017 include: The original Transformer breaks previous performanc...