Leading deep learning educator. Tutorials and courses on #DeepLearning, #ComputerVision, #LLMs, #GenAI, #OpenCV, #Keras, #TensorFlow, #PyTorch, and many more.

Joined January 2014
1,206 Photos and videos
New tutorial! πŸš€ Run an Apache Airflow DAG with Docker Compose and PostgreSQL pyimg.co/kxc7e πŸ‘ Author: Vikram Singh #ApacheAirflow #DockerCompose #PostgreSQL #MLOps #RAG #LLMOps
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🐳 Deploy a production-style document ingestion pipeline. βš™οΈ @ApacheAirflow @Docker Compose @FastAPI @PostgreSQL πŸ“Š Upload PDFs, trigger DAGs, monitor execution, inspect logs, and verify results in the database.
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New tutorial! πŸš€ Apache Airflow Document Ingestion Pipeline for RAG Systems pyimg.co/8b2ey πŸ‘ Author: Vikram Singh #ApacheAirflow #RAG #FastAPI #PostgreSQL #MLOps #LLMOps
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πŸ“„ Build a production-grade document ingestion pipeline for RAG systems. βš™οΈ Using @ApacheAirflow @FastAPI @PostgreSQL πŸ”„ Learn DAG orchestration, idempotency, deduplication, status tracking, and reliable PDF processing workflows.
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πŸš€ New tutorial! Manual Tracing, Scores, and Evaluation with Langfuse (Self-Hosted) pyimg.co/24p06 πŸ‘ Author: Vikram Singh #Langfuse #LLMOps #vLLM #RAG #AIObservability #GenerativeAI #MachineLearning #OpenSourceAI #MLOps #AI
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Learn how to manually trace pipelines, score outputs, measure latency, and monitor quality with @langfuse @vllm_project. ⚑ Full manual tracing API walkthrough πŸ“ˆ Custom evaluation metrics quality scoring 🧩 Built for RAG, agents, and complex AI systems
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New tutorial! πŸš€ LLM Observability with Self-Hosted Langfuse and vLLM Because β€œit works on my machine” is not an observability strategy πŸ˜… pyimg.co/tadoh Author: Vikram Singh #LLM #Langfuse #vLLM #MLOps #GenerativeAI #Docker #AI #Python #Tutorial
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🧠 Self-host @langfuse locally πŸ“Š Track prompts, traces, latency & token usage ⚑ Connect everything to @vllm_project with @OpenAI compatible APIs 🐳 Run the full observability stack with @Docker Compose
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New tutorial! πŸš€ Building and Training a Kimi-K2 Model Using DeepSeek-V3 Components pyimg.co/d3tge Author: @puneet2k #KimiK2 #DeepSeekV3 #LLM #PyTorch #AgenticAI #GenerativeAI
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🧠 Learn how Kimi-K2 stabilizes trillion-parameter LLM training with MuonClip QK-Clip ⚑ Built using DeepSeek-V3-style MoE MLA components πŸ› οΈ Full PyTorch implementation included
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New tutorial! πŸš€ Semantic Caching for LLMs: TTLs, Confidence, and Cache Safety pyimg.co/ahr3p πŸ‘ Author: Vikram Singh #LLMOps #AI #SemanticCaching #MLOps #FastAPI #Redis
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⚑ Fix stale unsafe LLM cache responses πŸ€– @FastAPI @Redisinc semantic caching πŸ› οΈ TTLs, confidence scoring, dedup poisoning prevention
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New tutorial! πŸš€ Semantic Caching for LLMs: FastAPI, Redis, and Embeddings pyimg.co/yso6f πŸ‘ Author: Vikram Singh #LLM #AI #FastAPI #Redis #MLOps #GenAI #VectorSearch #Ollama
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πŸ’‘ Reduce LLM cost latency with semantic caching βš™οΈ @FastAPI @Redisinc @ollama embeddings πŸš€ Exact match β†’ semantic match β†’ LLM fallback
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New tutorial! πŸš€ Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing pyimg.co/4ztdu πŸ‘ Author: Vikram Singh #MLOps #Pytest #FastAPI #Locust #MachineLearning #Python
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πŸ§ͺ Test your ML systems end-to-end βš™οΈ Built with @pytestdotorg @FastAPI Locust πŸ“Š Includes load testing CI-ready workflows
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New tutorial! πŸš€ FastAPI for MLOps: Python Project Structure and API Best Practices pyimg.co/yn8a5 πŸ‘ Author: Vikram Singh #MLOps #FastAPI #Python #AI #MachineLearning #DevOps
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🧠 Build ML systems like production software βš™οΈ @FastAPI @pydantic clean architecture πŸ› οΈ Configs, logging, services β€” all done right
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New tutorial! πŸš€ Agentic AI Vision System: Object Segmentation with SAM 3 and Qwen pyimg.co/ohlwd πŸ‘ Author: Piyush Thakur #AI #ComputerVision #AgenticAI #DeepLearning #SAM3 #Qwen
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🧠 Self-correcting vision system πŸ€– @Alibaba_Qwen model @Meta SAM 3 model combo πŸ” Iterative agent loop = smarter segmentation
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