Open-source LLMs like Vicuna and MPT-7B-Chat are popping up in all places, which has led to much discussion on how these models compare to business LLMs (like ChatGPT or Bard).Many of the comparison has...
Large Language Models (LLMs) like GPT-3 and ChatGPT have revolutionized AI by offering Natural Language Understanding and content generation capabilities. But their development comes at a hefty price limiting accessibility and further research. Researchers...
Exploring PyMC’s Insights with SHAP Framework via an Engaging Toy ExampleSHAP values (SHapley Additive exPlanations) are a game-theory-based method used to extend the transparency and interpretability of machine learning models. Nevertheless, this method, together...
An introduction and development guide for open-source LLM — MPT-7BYou may try far more instructs for the model once your Colab or local machine successfully deploys the model, and adjusts the parameters within the...
Now that we understand the underlying calculations of SHAP, we are able to apply it to our predictions by visualizing them. To visualise them, we'll use from Python’s library and input our...
Visualizing the performance of Fast RCNN, Faster RCNN, Mask RCNN, RetinaNet, and FCOSEach of our two-stage object detection models (in green and lightweight blue above) far out-perform the single-stage models in mean average precision,...