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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...
A Coding Implementation to Build an Uncertainty-Aware LLM System with Confidence Estimation, Self-Evaluation, and Automatic Web Research
In this tutorial, we build an uncertainty-aware large language model system that not only generates...
A Coding Implementation to Build a Unified Tool Orchestration Framework from Documentation to Automated Pipelines
In this tutorial, we build a compact, efficient framework that demonstrates how to convert tool...
A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text
We will build a Regression Language Model (RLM), a model that predicts continuous numerical values...
A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning
In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We...
A Coding Implementation to Build a Complete Self-Hosted LLM Workflow with Ollama, REST API, and Gradio Chat Interface
In this tutorial, we implement a fully functional Ollama environment inside Google Colab to replicate...
