Machine Learning
Deep dives into ML algorithms, models, and applications
// 12 articles filed
Deep dives into ML algorithms, models, and applications
// 12 articles filed
We run scale benchmarks testing search speed, indexing latency, and recall accuracy across cloud and hosted database engines.
Mahmudul Haque Qudrati
CEO & ML Engineer
Pyannote.audio provides state-of-the-art speaker diarization that identifies who speaks when in a recording, enabling meeting transcripts and podcast notes with per-speaker attribution when combined with Whisper.
Mahmudul Haque Qudrati
CEO & ML Engineer
Learn to compile model pipelines down to Wasm binaries to execute real-time, zero-cold-start inference at the network edge.
Mahmudul Haque Qudrati
CEO & ML Engineer
Traditional retrieval often misses complex relationships. Learn how to map structural nodes alongside vector indices to enhance RAG systems.
Mahmudul Haque Qudrati
CEO & ML Engineer
Implement reciprocal rank fusion algorithms to merge keyword matching (BM25) with context-aware semantic embeddings.
Mahmudul Haque Qudrati
CEO & ML Engineer
How to synchronize offline analytical feature stores with online key-value databases to feed real-time models under 10ms.
Mahmudul Haque Qudrati
CEO & ML Engineer
CLIP learns joint image-text embeddings from 400 million pairs, enabling zero-shot classification on any category you can describe in words - no labeled training data required.
Mahmudul Haque Qudrati
CEO & ML Engineer
Pixtral 12B processes images at arbitrary resolution without fixed patch sizes, scores 52.5% on MMMU, and is available under an Apache 2.0 license.
Mahmudul Haque Qudrati
CEO & ML Engineer
Longformer extends BERT to 4096 tokens using a combination of local sliding window attention and global attention, making it practical for document classification, Q&A, and NER on long-form text.
Mahmudul Haque Qudrati
CEO & ML Engineer
DeepSeek-VL2 applies Mixture of Experts to vision-language modeling, activating only 4.5B of 27B parameters per forward pass while matching models twice its active size.
Mahmudul Haque Qudrati
CEO & ML Engineer
Phi-4 at 14B parameters scores 80.4% on MATH (vs GPT-4o at 76.6%) using a synthetic data pipeline focused on textbook-quality STEM content.
Mahmudul Haque Qudrati
CEO & ML Engineer
Feast solves training-serving skew and enables feature reuse across models - define features once and serve them consistently from both batch and real-time data sources.
Mahmudul Haque Qudrati
CEO & ML Engineer
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Every technique that works — with real examples
Claude Code, Cursor, Copilot, open-source tools reviewed honestly
Local LLMs, open models, free AI infrastructure
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Benchmarks explained, evaluation frameworks, model testing
LLM SEO, AI SEO, Google AI Overviews, developer marketing
iOS, Android, and cross-platform mobile app development
Modern web technologies, frameworks, and best practices
Data analysis, visualization, and engineering insights
Autonomous agents, LLM applications, and intelligent systems