Guide

The friendly neighbor approach to machine learninglabels, predictions, accuracies = list(y_test), , k_list = for k in k_list:knn_clf = KNeighborsClassifier(n_neighbors=k)knn_clf.fit(X_train, y_train)y_pred = knn_clf.predict(X_test)predictions.append(list(y_pred))accuracies.append(accuracy_score(y_test, y_pred).round(4)*100)df_predictions = pd.DataFrame({'Label': labels})for k, pred in zip(k_list, predictions):df_predictions = preddf_accuracies...

Tutorial on enforcing JSON output with Llama.cpp or the Gemini’s APILarge Language Models (LLMs) are great at generating text, but getting structured output like JSON normally requires clever prompting and hoping the LLM understands....

Create interactive calendars with heatmaps using PlotlyPlotly is one of the comprehensive Python libraries for creating visualizations. This library offers many predefined visualizations useful for many data analyses. These visualizations are highly customizable, allowing...

import torch import torch.nn.functional as F class DPOTrainer: def __init__(self, model, ref_model, beta=0.1, lr=1e-5): self.model = model self.ref_model =...

As Large Language Models (LLMs) grow in complexity and scale, tracking their performance, experiments, and deployments becomes increasingly difficult. That is where MLflow is available in – providing a comprehensive platform for managing your...

Founded by alums from Google's DeepMind and Meta, Paris-based startup Mistral AI has consistently made waves within the AI community since 2023.Mistral AI first caught the world's attention with its debut model, Mistral 7B,...

Superb-tuning large language models (LLMs) like Llama 3 involves adapting a pre-trained model to specific tasks using a domain-specific dataset. This process leverages the model's pre-existing knowledge, making it efficient and cost-effective in comparison...

Now it’s time for some contrastive learning. To mitigate the difficulty of insufficient annotation labels and fully utilize the massive quantity of unlabelled data, contrastive learning may very well be used to effectively help...