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LlamaIndex is a data framework for your LLM applications
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Jun 3, 2024
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Unify Efficient Fine-Tuning of 100+ LLMs
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Jun 2, 2024
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Low-code framework for building custom LLMs, neural networks, and other AI models
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Jun 1, 2024
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Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
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Jun 2, 2024
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Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
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Jun 2, 2024
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Using Low-rank adaptation to quickly fine-tune diffusion models.
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Mar 22, 2024
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Jupyter Notebook
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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May 31, 2024
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Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微?
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Oct 12, 2023
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????High-Performance Face Recognition Library on PaddlePaddle & PyTorch????
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Dec 23, 2022
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Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
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May 9, 2024
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Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community:
https://discord.gg/TgHXuSJEk6
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Mar 31, 2024
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?? ?????????? about ????????, ????????????, and ???????????? ?????? for free by designing, training, and deploying a real-time financial advisor LLM system ~ ???????????? ???????? + ?????????? & ?????????????? ??????????????????
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Apr 7, 2024
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Jupyter Notebook
Your Automatic Prompt Engineering Assistant for GenAI Applications
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Apr 22, 2024
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RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
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Jun 2, 2024
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Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
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Dec 20, 2023
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Python
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Apr 26, 2024
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Jupyter Notebook
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
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Jun 1, 2024
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A comprehensive guide to building RAG-based LLM applications for production.
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Apr 24, 2024
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Jupyter Notebook
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