ニュース
A End-to-End Coding Guide to Running OpenAI GPT-OSS Open-Weight Models with Advanced Inference Workflows
In this tutorial, we explore how to run OpenAI’s open-weight GPT-OSS models in Google Colab...
A Decomposition-Based Approach for Evaluating and Analyzing Inter-Annotator Disagreement
arXiv:2206.05446v2 Announce Type: replace Abstract: We propose a novel method to conceptually decompose an existing...
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
arXiv:2504.15585v4 Announce Type: replace-cross Abstract: The remarkable success of Large Language Models (LLMs) has illuminated...
A Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment
In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow...
A Comparison of Traditional Machine Learning Algorithms and LSTM-Based Deep Learning Models for Email Sentiment Analysis
arXiv:2605.03440v1 Announce Type: new Abstract: The rapid growth of electronic communication has necessitated more robust...
A Coding Tutorial on Datashader on Rendering Massive Datasets with High-Performance Python Visual Analytics
In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets...
A Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG
In this tutorial, we implement how to run the Bonsai 1-bit large language model efficiently...
A Coding Implementation to Training, Optimizing, Evaluating, and Interpreting Knowledge Graph Embeddings with PyKEEN
In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using...
A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset
In this tutorial, we explore the lambda/hermes-agent-reasoning-traces dataset to understand how agent-based models think, use...
A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow
In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply...
A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived...
A Coding Implementation to Build and Train Advanced Architectures with Residual Connections, Self-Attention, and Adaptive Optimization Using JAX, Flax, and Optax
In this tutorial, we explore how to build and train an advanced neural network using...
