AI large model shows the future of general purpose robots – Caixin Global
The future of general-purpose robots shown by large AI models caixin global
Techniques for training large neural networks
Pipeline parallelism partitions the model “vertically” into layers. You can also split certain operations “horizontally” within a layer. This is usually tensor parallel training. Many latest models ( transformer), the…
Evolution with large models
In this paper, we pursue the insight that large-scale language models (LLMs) trained to generate code can significantly improve the effectiveness of mutation operators applied to genetic programming (GP) programs.…
Lakera launches to protect large language models from malicious prompts
Large-scale language models (LLMs) are the driving force behind the burgeoning generative AI movement and can interpret and create human language text from simple prompts. This can be anything from…