Insights, tutorials, and thoughts on AI, machine learning, and technology
Dive deep into the world of artificial intelligence, machine learning best practices, cutting-edge research, and practical tutorials. From theoretical foundations to real-world implementations, explore the latest trends shaping the future of AI.
From scratch to search: A complete walkthrough of building a semantic document search engine with embeddings, FAISS, and transformers...
Read More →Deep dive into architectural decisions, technical challenges, and lessons learned from building an enterprise AI document processing platform...
Read More →Deep dive into building a production-ready recommendation system using TF-IDF, SVD, and content-based filtering. Scale from 10K to 1M+ movies...
Read More →Learn how to build a powerful speech annotation platform with background job processing, progress tracking, session persistence, and smart row locking for data teams...
Read More →Deep dive into explainable AI techniques, SHAP values, LIME, and methods to understand what your models are learning...
Read More →Essential practices for deploying and maintaining ML models in production, covering CI/CD, monitoring, and model versioning...
Read More →Building robust speech-to-text systems using modern deep learning approaches, including Whisper, Wav2Vec, and custom architectures...
Read More →Strategies for training large-scale models across multiple GPUs and nodes, covering data parallelism, model parallelism, and mixed precision...
Read More →Optimizing and deploying machine learning models for mobile and edge devices using TensorFlow Lite, ONNX, and quantization techniques...
Read More →Exploring how AI systems can augment human decision-making processes while maintaining transparency and trust...
Read More →Identifying and addressing bias in machine learning models, fairness metrics, and building more equitable AI systems...
Read More →Have questions about any of these topics or want to suggest a blog post idea? I'd love to hear from you and engage in meaningful discussions about AI and technology.