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Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
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7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
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Official inference framework for 1-bit LLMs, by Microsoft. opensource.
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BigScience Large Open-science Open-access Multilingual Language Model.
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Model interpretability and understanding library for PyTorch.
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ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.
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Train and run a computer vision model with 5-10 lines of code.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
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Design and Deploy Large Language Model Apps.
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Feature store for machine learning.
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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
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Drag & drop UI to build your customized LLM flow using LangchainJS.
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Library for high performance deep learning inference on NVIDIA GPUs.
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Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
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Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
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Open Bilingual Pre-Trained Model (ICLR 2023).
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Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
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Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
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Creating semantic cache to store responses from LLM queries.
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GPU cluster manager for running and managing LLMs.
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A curated list of Large Language Model.