GLM-4.7 Deep Dive: 355B MoE, 200K Context, $0.60/M Tokens
March 8, 2026
Zhipu AI's GLM-4.7 explained: 355B MoE architecture, 200K-token context, multimodal inputs, and $0.60 in / $2.20 out per million tokens on Z.ai.
#ai-engineering
The Machine Learning Engineer Path in 2026: Skills, Salaries & Strategy
February 25, 2026
The ML engineer path in 2026: skills (PyTorch 2.10, TensorFlow 2.21), salaries ($202k total in US), certifications, and a strategic 12-month roadmap.
Mastering RNN Sequence Modeling: From Theory to Production
February 11, 2026
RNN sequence modeling: vanilla RNN, LSTM, GRU. Architecture, training pitfalls, and when to reach for RNNs vs. Transformers in text, audio, and time series.
AI Career Roadmap 2026: Skills, Tools & Real-World Pathways
February 6, 2026
A complete 2026 roadmap for building a successful AI career — from foundational skills to real-world applications, tools, and growth strategies.
Mastering Context Window Optimization for LLMs
February 6, 2026
Learn how to optimize context windows for large language models — from token efficiency and retrieval strategies to production scalability and monitoring.
LLM Fundamentals Guide: From Tokens to Transformations
January 27, 2026
LLM fundamentals: tokens, embeddings, attention, and fine-tuning — how transformer models actually produce text and where each component earns its compute.
MLOps Fundamentals Guide: From Model to Production
January 1, 2026
MLOps fundamentals from model to production: data versioning, CI/CD for ML, monitoring, retraining, and the tools (DVC, MLflow, Kubeflow) that tie it together.
Mastering Fine-Tuning of Large Language Models: From Basics to Advanced Techniques
September 23, 2025
Fine-tuning LLMs in 2026: LoRA, QLoRA, adapters, PEFT, evaluation, and the data-prep pipeline that decides whether fine-tuning actually helps your domain.