DeepSeek-OCR Explained: Efficient OCR with Optical Context Compression
Content1 Benchmark Performance2 Key Takeaways3 DeepSeek-OCR Architecture4 Training Data5 Performance and Benchmarks6 Practical Applications7 Implementation8 Selecting a Resolution Mode9 Limitations and Considerations10 Frequently Asked Questions11 Conclusion Vijona30 Jun at 14:24…
How to Deploy gpt-oss 120B with vLLM on AMD MI300X GPUs
Content1 Key Takeaways2 What Is vLLM?3 Why Use gpt-oss?4 Running vLLM on an AMD-Powered GPU Server5 Setting Up the Environment for vLLM with Docker6 Deploying gpt-oss on vLLM7 Interacting with…
Hidden Markov Models (HMMs): Theory, Algorithms & Python Guide
Content1 Key Takeaways2 What Is a Hidden Markov Model?3 Markov Chains vs. Hidden Markov Models4 Key Components of a Hidden Markov Model5 Example: Weather and Mood HMM6 The Viterbi Algorithm:…
Agent Communication Protocols Explained: FIPA ACL, KQML, MCP & AI Agents
Content1 Key Takeaways2 What Is Agent Communication?3 Why Agent Communication Protocols Are Necessary4 Classic Agent Communication Models5 Agent Message Structure6 Modern Evolution: LLM Agents and JSON Contracts7 How MCP, the…
Hierarchical Reasoning Models: Smarter AI Reasoning
Content1 Key Takeaways2 Latent Reasoning3 An Overview of Hierarchical Reasoning Models4 Hierarchical Convergence5 One-Step Gradient Approximation6 Deep Supervision7 Adaptive Computational Time (ACT)8 FAQs9 Conclusion Vijona30 Jun at 11:39 Hierarchical Reasoning…
Precision Scaling for Energy-Efficient AI
Content1 Good-to-Know Concepts in Deep Learning2 PyTorch Lightning Version3 TensorFlow/Keras Version4 Understanding the Carbon Footprint of Deep Learning5 What Is Precision Scaling?6 How Deep Learning Uses Numerical Formats7 How Precision…
Visualizing Vision-Language Models
Content1 Key Takeaways2 How Vision-Language Models Process Data3 Why Visualize Vision-Language Models?4 Visualization Techniques for Vision-Language Models5 Comparison of Visualization Techniques for Vision-Language Models6 Tools and Libraries for VLM Visualization7…
Kimi Linear: Efficient Long-Context AI Inference
Content1 Key Takeaways2 Primer on Linear Attention3 The Role of Gating4 Designing Hardware-Aware Algorithms5 Kimi Linear Architecture6 Implementation7 Final Thoughts Vijona25 Jun at 14:12 Kimi Linear: A Hardware-Aware Architecture for…
Apache Airflow: Workflow Orchestration Guide
Content1 Key Takeaways2 What Is Apache Airflow?3 Why Do Data Teams Use Airflow?4 Key Components of Airflow5 How Airflow Works: Architecture6 Understanding DAGs in Airflow7 Example: A Simple Airflow DAG8…