PyImageSearch

@puneet2k 🧠 Scale LLMs without scaling compute (yes, really) 🤖 DeepSeek-V3 + MoE + expert routing explained 🛠 Full @PyTorch implementation included

New tutorial! 🚀 DeepSeek-V3 from Scratch: Mixture of Experts (MoE) pyimg.co/a1w0g 👍 Author: @puneet2k #DeepSeek #MoE #LLM #AI #PyTorch #MachineLearning

What's in them? A reproducible benchmark showing YOLO26 30% faster than YOLO12 on Apple Silicon, plus a full production video analytics pipeline with ByteTrack, line crossing, and zone occupancy. Funded in 22 min. 2 tiers sold out. $8,528 to unlock YOLO26 for Everyone!

We just announced a stretch goal for our YOLO Kickstarter! $8,528 away from unlocking two new YOLO26 lessons for every backer at no extra charge. Currently at $26,472. Goal is $35,000. Campaign closes soon. kickstarter.com/projects/adria…

@puneet2k 🧠 How MLA compresses attention to reduce memory costs 🤖 Inside the architecture powering DeepSeek-V3 🛠 Step-by-step MLA implementation with RoPE + KV cache optimization

New tutorial! 🚀 Build DeepSeek-V3: Multi-Head Latent Attention (MLA) Architecture pyimg.co/scgjl 👍 Author: @puneet2k #DeepSeek #DeepSeekV3 #LLM #Transformers #AI #MachineLearning

@puneet2k 🧠 Understand the architecture behind DeepSeek-V3 ⚙️ Learn MLA, MoE, Multi-Token Prediction, and RoPE 💻 Implement configuration + rotary positional embeddings in @PyTorch

🚀 New tutorial! DeepSeek-V3 Model: Theory, Config, and Rotary Positional Embeddings pyimg.co/1atre 👍 Author: @puneet2k #DeepSeek #DeepSeekV3 #LLM #AIEngineering #PyTorch

@cosmo3769 🎥 Track concepts across video — not just per frame 🤖 Using @huggingface SAM 3 video + tracker models ⚡ Real-time webcam + multi-object tracking built with @Gradio Text prompts. Click prompts. Temporal memory. Unified pipeline. Where is this concept over time? 🔁

New tutorial! 🚀 SAM 3 for Video: Concept-Aware Segmentation and Object Tracking pyimg.co/luxfd 👍 Author: @cosmo3769 #ComputerVision #ObjectTracking #VideoAI #SAM3 #DeepLearning #AI

🔎 Connect FAISS vector search to a local LLM 🧠 Ground answers with real retrieved context ⚙️ Add citations + support scoring (yes, really) Stop letting your LLM hallucinate. Start letting it retrieve, reason, and respond. 🔥

New tutorial! 🚀 Vector Search Using Ollama for Retrieval-Augmented Generation (RAG) pyimg.co/q68nv 👍 Author: Vikram Singh #RAG #Ollama #FAISS #LLM #GenerativeAI #MachineLearning #AI

🧠 From brute-force O(N) to lightning-fast ANN ⚡ Flat vs IVF vs HNSW — recall vs latency trade-offs 📊 Benchmark FAISS indexes like a pro

New tutorial! 🚀 Vector Search with FAISS: ANN Explained Scaling semantic search? Read this 👇 pyimg.co/htl5f Author: Vikram Singh #FAISS #ANN #VectorSearch #RAG #MachineLearning

Can we make giant AI models faster without losing smarts? 🤔 Google's latest research on "Sequential Attention" suggests yes—by dynamically pruning unneeded tokens during generation. Dive into the details here: research.google/blog/sequentia… #AI #MachineLearning

🧠 Why keyword search fails at meaning — and how embeddings fix it 🤖 Powered by sentence-transformers/all-MiniLM-L6-v2 📐 See language turn into geometry (cosine similarity + PCA!)

New tutorial! 🚀 TF-IDF vs. Embeddings: From Keywords to Semantic Search 👉 pyimg.co/msp43 Author: Vikram Singh #Embeddings #SemanticSearch #VectorDB #RAG #NLP #MachineLearning #PyImageSearch

Voice AI is evolving fast. @MistralAI has just unveiled Voxtral, a 4B parameter model built for real-time interaction at the "speed of sound." Curious to hear how developers will utilize this latency reduction. Full announcement: mistral.ai/news/voxtral-t… #OpenSourceAI

🖱️ Text + boxes + clicks = next-level segmentation 🧠 Learn advanced SAM 3 prompting for precise, interactive visual control 🛠️ Real code, real demos, real-world workflows

New tutorial! 🚀 Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation 👉 pyimg.co/5c4ag 👍 Author: Piyush Thakur #SAM3 #ComputerVision #ImageSegmentation #AI #DeepLearning #PyImageSearch