#python #document_understanding #language_generation #language_understanding #layoutlm #minilm #nlp #pre_trained_model #s2s_ft #small_pre_trained_model #unilm
https://github.com/microsoft/unilm
https://github.com/microsoft/unilm
GitHub
GitHub - microsoft/unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities - microsoft/unilm
#python #coco #computer_vision #conda #deep_learning #detectron2 #instance_segmentation #jupyter_notebook #large_image #machine_learning #mmdetection #object_detection #pip #pytorch #small_object_detection #yolov5
https://github.com/obss/sahi
https://github.com/obss/sahi
GitHub
GitHub - obss/sahi: Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots - obss/sahi
#python #agents #generative_ai_tools #llamacpp #llm #onnx #openvino #parsing #retrieval_augmented_generation #small_specialized_models
llmware is a powerful, easy-to-use platform that helps you build AI applications using small, specialized language models designed for business tasks like question-answering, summarization, and data extraction. It supports private, secure deployment on your own machines without needing expensive GPUs, making it cost-effective and safe for enterprise use. You can organize and search your documents, run smart queries, and combine knowledge with AI to get accurate answers quickly. It also offers many ready-to-use models and examples, plus tools for building chatbots and agents that automate complex workflows. This helps you save time, improve accuracy, and securely leverage AI for your business needs[1][3][5].
https://github.com/llmware-ai/llmware
llmware is a powerful, easy-to-use platform that helps you build AI applications using small, specialized language models designed for business tasks like question-answering, summarization, and data extraction. It supports private, secure deployment on your own machines without needing expensive GPUs, making it cost-effective and safe for enterprise use. You can organize and search your documents, run smart queries, and combine knowledge with AI to get accurate answers quickly. It also offers many ready-to-use models and examples, plus tools for building chatbots and agents that automate complex workflows. This helps you save time, improve accuracy, and securely leverage AI for your business needs[1][3][5].
https://github.com/llmware-ai/llmware
GitHub
GitHub - llmware-ai/llmware: Unified framework for building enterprise RAG pipelines with small, specialized models
Unified framework for building enterprise RAG pipelines with small, specialized models - llmware-ai/llmware
#shell #bonsai #llamacpp #llm #mlx #prism_ml #small_models
You can run powerful Bonsai 27B AI models locally on your iPhone, Mac, or laptop without needing cloud servers. The 1-bit version fits in just 3.9 GB, allowing a 27-billion-parameter model (with vision and reasoning) to run on a phone like the iPhone 17 Pro, while the Ternary version offers higher quality at 5.9 GB. This gives you private, fast, and offline AI for chat, image analysis, and tool use, with up to 262K token context and 90–95% of full-precision performance.
https://github.com/PrismML-Eng/Bonsai-demo
You can run powerful Bonsai 27B AI models locally on your iPhone, Mac, or laptop without needing cloud servers. The 1-bit version fits in just 3.9 GB, allowing a 27-billion-parameter model (with vision and reasoning) to run on a phone like the iPhone 17 Pro, while the Ternary version offers higher quality at 5.9 GB. This gives you private, fast, and offline AI for chat, image analysis, and tool use, with up to 262K token context and 90–95% of full-precision performance.
https://github.com/PrismML-Eng/Bonsai-demo
GitHub
GitHub - PrismML-Eng/Bonsai-demo: Bonsai Demo
Bonsai Demo. Contribute to PrismML-Eng/Bonsai-demo development by creating an account on GitHub.
👍1