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@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

New tutorial! 🚀 Building and Training a Kimi-K2 Model Using DeepSeek-V3 Components pyimg.co/d3tge Author: @puneet2k #KimiK2 #DeepSeekV3 #LLM #PyTorch #AgenticAI #GenerativeAI

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

New tutorial! 🚀 Semantic Caching for LLMs: TTLs, Confidence, and Cache Safety pyimg.co/ahr3p 👍 Author: Vikram Singh #LLMOps #AI #SemanticCaching #MLOps #FastAPI #Redis

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

New tutorial! 🚀 Semantic Caching for LLMs: FastAPI, Redis, and Embeddings pyimg.co/yso6f 👍 Author: Vikram Singh #LLM #AI #FastAPI #Redis #MLOps #GenAI #VectorSearch #Ollama

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

New tutorial! 🚀 Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing pyimg.co/4ztdu 👍 Author: Vikram Singh #MLOps #Pytest #FastAPI #Locust #MachineLearning #Python

🧠 Build ML systems like production software ⚙️ @FastAPI + @pydantic + clean architecture 🛠️ Configs, logging, services — all done right

New tutorial! 🚀 FastAPI for MLOps: Python Project Structure and API Best Practices pyimg.co/yn8a5 👍 Author: Vikram Singh #MLOps #FastAPI #Python #AI #MachineLearning #DevOps

🧠 Self-correcting vision system 🤖 @Alibaba_Qwen model + @Meta SAM 3 model combo 🔁 Iterative agent loop = smarter segmentation

New tutorial! 🚀 Agentic AI Vision System: Object Segmentation with SAM 3 and Qwen pyimg.co/ohlwd 👍 Author: Piyush Thakur #AI #ComputerVision #AgenticAI #DeepLearning #SAM3 #Qwen

🧠 Why next-token prediction falls short 🤖 DeepSeek-V3 + multi-token prediction (MTP) ⚙️ Smarter training, better long-form generation Stop thinking one token at a time 👀

New tutorial! 🚀 Autoregressive Model Limits and Multi-Token Prediction in DeepSeek-V3 pyimg.co/alrep 👍 Author: Puneet Mangla #DeepSeek #LLM #AI #MachineLearning #Transformers #NLP

@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