training

Empowering WordPress Training through Translation and Note Taking

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Dhaka WordPress Meetup, an exciting online event dedicated to enhancing WordPress through community-driven translation and effective note-taking. This monthly gathering is perfect for WordPress enthusiasts who are eager to contribute to the platform’s global reach and usability. What You Will Learn From This Event: Learn and Contribute: Dive into the world of WordPress translations. Whether […]

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Computer vision network training library CVNets

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CVNets is a computer vision toolkit that allows researchers and engineers to train standard and mobile/non-mobile computer vision models for a variety of tasks, including object classification, object detection, semantic segmentation, and foundational models (e.g., CLIP). It is recommended to use Python 3.8+ and PyTorch (version >= v1.12.0) for installation. The following instructions use Conda.

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An open source recipe to reproduce the LLaMA training dataset RedPajama-Data

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The RedPajama-Data repository contains code for preparing large datasets for training large language models. This repo contains a reproducible data ingestion of RedPajama data, with the following token counts: Dataset Token Count Commoncrawl 878 Billion C4 175 Billion GitHub 59 Billion Books 26 Billion ArXiv 28 Billion Wikipedia 24 Billion StackExchange 20 Billion Total 1.2

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Automatic Distributed Training System Infrastructure TePDist

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TePDist (TEnsor Program Distributed) is an automatic distributed training system infrastructure for DL ​​models, not just an algorithm. The TePDist system operates in client/server mode. The client should be any front end that can generate XLA HLOs. The server is responsible for distributed policy planning and automatic distributed task initiation. The motivation for decoupling the

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Primus Homepage, Documentation and Downloads – Distributed Training Scheduling Framework – News Fast Delivery

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Primus is a general-purpose distributed training scheduling framework for machine learning applications, which manages the training life cycle and data distribution of machine learning frameworks (such as Tensorflow, Pytorch), and helps the training framework to obtain better distributed capabilities. Function Multiple training framework support: Tensorflow, PyTorch, Monolith, etc.; Multi-scheduler support:

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LLaVA, a Large Multimodal Model for End-to-End Training

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LLaVA is a large-scale language and vision assistant built for multimodal GPT-4 level features. represents a large multimodal model trained end-to-end, concatenating a visual encoder and LLM for general vision and language understanding. Demo Early experiments show that LLaVA demonstrates excellent multi-modal chat capabilities, sometimes exhibiting multi-model GPT-4 behavior on unseen images/instructions, compared to GPT-4

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PlayEdu Homepage, Documentation and Downloads – Open Source Training System – News Fast Delivery

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PlayEdu is an internal training system developed based on SpringBoot3 + Java17 + React18. It focuses on providing privatized deployment solutions, including intranet deployment of resources such as videos and pictures. At present, it mainly supports the main functions such as local video upload and playback, student mailbox login, unlimited departments, unlimited resource classification, and

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Large-scale LMM training framework OpenFlamingo

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At its core, OpenFlamingo is a framework that supports the training and evaluation of Large Multimodal Models (LMMs), an open source replica of DeepMind’s Flamingo models. The main contents are as follows: A Python framework for training Flamingo-style LMMs (based on Lucidrains’ flamingo implementation and David Hansmair’s flamingo-mini repository). Large-Scale Multimodal Dataset with Interleaved Image

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Musk, Apple co-founder and others jointly called out: Suspend the training of advanced AI systems – yqqlm

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Musk (Elon Musk), co-founder of Apple Thousands of people including Steve Wozniak and Turing Award winner Yoshua BengioIndustry executives and experts have signed an open letter calling on all AI labs to immediately suspend the training of AI systems more powerful than GPT-4 for at least six months. and said,This suspension should be public and

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Databricks open source LLM, training only takes three hours and $30 – News Fast Delivery

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Big data analysis company Databricks Inc has also recently joined the competition in the field of generative AI, releasing an open source large-scale language model called Dolly. The model was named Dolly to pay tribute to the first cloned sheep, Dolly. Generative AIs like ChatGPT and Bard use data that is often collected from thousands

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Daily blog | From 100w cores to 450w cores: ByteDance’s ultra-large-scale cloud-native offline training practice

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This article is compiled from the speech delivered by ByteDance infrastructure R&D engineer Shan Jixi at the ArchSummit Global Architect Summit. It mainly introduces the three stages and key nodes of ByteDance offline training development, as well as two very important ones in cloud-native offline training. Part – computing scheduling and data orchestration, and finally

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