PyImageSearch

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

[PyImageSearch @PyImageSearch]

🧠 A 26B model that runs like a 4B model? That's the magic of Gemma 4's MoE architecture.
🤖 Dive into thinking mode, multimodal reasoning, audio support, long-context attention, and benchmark performance.
⚡ From phones to H100s, learn which Gemma 4 model is right for workload.

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

Google DeepMind's Gemma 4: MoE, Efficiency Tricks, and Benchmarks

https://t.co/coKtYkdKGZ 👍
Author: Piyush Thakur

#Gemma4 #GoogleDeepMind #LLM #MoE #GenerativeAI #AI

[PyImageSearch @PyImageSearch]

🔍 Turn your RAG pipeline from a black box into a glass box.
🤖 Powered by @langfuse, @vllm_project, FAISS, and SentenceTransformers.
📊 Trace retrieval, prompts, token usage, hallucinations, and quality scores with a fully observable production-grade RAG stack.

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

RAG Observability with Langfuse, vLLM, and FAISS

https://t.co/YdETcdDcvA 👍
Author: Vikram Singh

#RAG #Langfuse #vLLM #FAISS #LLMOps #MLOps

[PyImageSearch @PyImageSearch]

🐳 Deploy a production-style document ingestion pipeline.
⚙️ @ApacheAirflow + @Docker Compose + @FastAPI + @PostgreSQL
📊 Upload PDFs, trigger DAGs, monitor execution, inspect logs, and verify results in the database.

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

Run an Apache Airflow DAG with Docker Compose and PostgreSQL

https://t.co/TioCNVtzst 👍
Author: Vikram Singh

#ApacheAirflow #DockerCompose #PostgreSQL #MLOps #RAG #LLMOps

[PyImageSearch @PyImageSearch]

📄 Build a production-grade document ingestion pipeline for RAG systems.
⚙️ Using @ApacheAirflow + @FastAPI + @PostgreSQL
🔄 Learn DAG orchestration, idempotency, deduplication, status tracking, and reliable PDF processing workflows.

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

Apache Airflow Document Ingestion Pipeline for RAG Systems

https://t.co/HbROcIHOmk 👍
Author: Vikram Singh

#ApacheAirflow #RAG #FastAPI #PostgreSQL #MLOps #LLMOps

[PyImageSearch @PyImageSearch]

Learn how to manually trace pipelines, score outputs, measure latency, and monitor quality with @langfuse + @vllm_project.

⚡ Full manual tracing API walkthrough
📈 Custom evaluation metrics + quality scoring
🧩 Built for RAG, agents, and complex AI systems

[PyImageSearch @PyImageSearch]

🚀 New tutorial!

Manual Tracing, Scores, and Evaluation with Langfuse (Self-Hosted)

https://t.co/3WUidzMIKz 👍
Author: Vikram Singh

#Langfuse #LLMOps #vLLM #RAG #AIObservability #GenerativeAI #MachineLearning #OpenSourceAI #MLOps #AI

[PyImageSearch @PyImageSearch]

🧠 Self-host @langfuse locally
📊 Track prompts, traces, latency & token usage
⚡ Connect everything to @vllm_project with @OpenAI compatible APIs
🐳 Run the full observability stack with @Docker Compose

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

LLM Observability with Self-Hosted Langfuse and vLLM

Because “it works on my machine” is not an observability strategy 😅

https://t.co/SEUH7KpEd3
Author: Vikram Singh

#LLM #Langfuse #vLLM #MLOps #GenerativeAI #Docker #AI #Python #Tutorial

[PyImageSearch @PyImageSearch]

@puneet2k 🧠 Learn how Kimi-K2 stabilizes trillion-parameter LLM training with MuonClip + QK-Clip
⚡ Built using DeepSeek-V3-style MoE + MLA components
🛠️ Full PyTorch implementation included

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

Building and Training a Kimi-K2 Model Using DeepSeek-V3 Components

https://t.co/toSECo0K2e
Author: @puneet2k

#KimiK2 #DeepSeekV3 #LLM #PyTorch #AgenticAI #GenerativeAI

[PyImageSearch @PyImageSearch]

⚡ Fix stale + unsafe LLM cache responses
🤖 @FastAPI + @Redisinc + semantic caching
🛠️ TTLs, confidence scoring, dedup + poisoning prevention

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

Semantic Caching for LLMs: TTLs, Confidence, and Cache Safety

https://t.co/0yvLCPjpvW 👍
Author: Vikram Singh

#LLMOps #AI #SemanticCaching #MLOps #FastAPI #Redis

[PyImageSearch @PyImageSearch]

💡 Reduce LLM cost + latency with semantic caching
⚙️ @FastAPI + @Redisinc + @ollama embeddings
🚀 Exact match → semantic match → LLM fallback

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

Semantic Caching for LLMs: FastAPI, Redis, and Embeddings

https://t.co/G8EXRsGypt 👍
Author: Vikram Singh

#LLM #AI #FastAPI #Redis #MLOps #GenAI #VectorSearch #Ollama

[PyImageSearch @PyImageSearch]

🧪 Test your ML systems end-to-end
⚙️ Built with @pytestdotorg + @FastAPI + Locust
📊 Includes load testing + CI-ready workflows

[PyImageSearch @PyImageSearch]

New tutorial! 🚀

Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing

https://t.co/K02riUmUx5 👍
Author: Vikram Singh

#MLOps #Pytest #FastAPI #Locust #MachineLearning #Python