Models

Exploring ChatGPT vs open-source models on barely harder tasks Warmup: Solving equations Task: extracting snippets + answering questions on meetings Task: do things with bash Takeaways

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...

Can You Construct Large Language Models Like ChatGPT At Half Cost?

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...

Demystifying Bayesian Models: Unveiling Explanability through SHAP Values The Gap between Bayesian Models and Explainability Bayesian modelization with PyMC Explain the model with SHAP Conclusion

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...

MPT-7B, The Times of Commercially Usable Language Models Has Come Overall Context Length of StoryWriter model Datasets for Training Others Deploy on Colab Level Up Coding

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...

Study: AI models fail to breed human judgements about rule violations

In an effort to enhance fairness or reduce backlogs, machine-learning models are...

Machine Learning, Illustrated: Opening Black Box Models with SHAP

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...

Compare and Evaluate Object Detection Models From TorchVision Introduction What’s Object Detection Finetuning Pre-trained Models Image Data Formats Evaluation Metrics for Object Detection Challenges of Comparing Object Detection Models Using Comet...

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,...

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