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#python #billion_parameters #compression #data_parallelism #deep_learning #gpu #inference #machine_learning #mixture_of_experts #model_parallelism #pipeline_parallelism #pytorch #trillion_parameters #zero

DeepSpeed is a powerful tool for training and using large artificial intelligence models quickly and efficiently. It allows you to train models with billions or even trillions of parameters, which is much faster and cheaper than other methods. With DeepSpeed, you can achieve significant speedups, reduce costs, and improve the performance of your models. For example, it can train ChatGPT-like models 15 times faster than current state-of-the-art systems. This makes it easier to work with large language models without needing massive resources, making AI more accessible and efficient for everyone.

https://github.com/microsoft/DeepSpeed
#cplusplus #c #c_plus_plus #c_sharp #cross_platform #flatbuffers #go #grpc #java #javascript #json_parser #marshalling #mmap #protobuf #python #rpc #rust #serialization #serialization_library #typescript #zero_copy

FlatBuffers is a tool that helps you store and send data efficiently across different devices and programming languages. It lets you access the data directly without needing to unpack it first, which saves time and memory. Here’s how it benefits you FlatBuffers uses less memory, making it ideal for applications where space is limited.
- **Cross-Language Compatibility** You define your data structure, generate the necessary code, and then serialize and deserialize the data easily.
- **Wide Support**: It works on many operating systems like Windows, macOS, Linux, and Android, and supports numerous programming languages such as C++, Java, Python, and more.

This makes FlatBuffers a powerful tool for developing efficient and compatible software.

https://github.com/google/flatbuffers
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