Tag: #2026-03
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 765 posts
Algorithms & Data Structures: From Complexity Analysis to AI/ML Algorithms
A complete guide to algorithms for AI engineers and coding interview preparation — covering Big-O complexity analysis, graph algorithms, dynamic programming, k-d trees, LSH, and more.
2026-03-17 · 16 min read #algorithms#data-structures#dynamic-programming#graph-algorithms#coding-interviewAI for Science: AlphaFold, Drug Discovery, Climate AI, and Physics Simulation
A complete guide to AI technologies revolutionizing scientific research — from AlphaFold3 protein structure prediction and molecular GNN drug design to PINN physics simulation and climate prediction AI.
2026-03-17 · 16 min read #aiforscience#alphafold#drugdiscoveryai#pinn#climateaiAI Era Survival Guide Part 8: Survival Strategies for Designers in the Age of Midjourney and Figma AI
In an era where Midjourney, DALL-E, and Stable Diffusion generate images and Figma AI automates design, this guide outlines survival strategies for designers and the design competencies that become even more valuable in
2026-03-17 · 16 min read #career#designer#ai-tools#ai-era#figmaAI Benchmark Datasets Complete Guide: ImageNet, COCO, GLUE, MMLU, HumanEval
A complete guide to key benchmark datasets for AI model evaluation. Detailed analysis of computer vision (ImageNet, COCO, ADE20K), NLP (GLUE, SuperGLUE, SQuAD, MMLU), code (HumanEval, MBPP), and LLM evaluation (HELM, MT-
2026-03-17 · 25 min read #benchmark#datasets#imagenet#coco#gluePrompt Engineering Complete Guide: From Zero-shot to Advanced Techniques
A complete guide to mastering all prompt engineering techniques. Learn Zero-shot, Few-shot, Chain-of-Thought, Tree of Thoughts, ReAct, Self-Consistency, and system prompt design through practical examples.
2026-03-17 · 32 min read #prompt-engineering#llm#chatgpt#claude#aiLLM Application Development Practical Guide: Mastering ChatGPT API, Claude API, and Gemini API
A practical guide to LLM application development covering ChatGPT API, Claude API, and Gemini API.
2026-03-17 · 22 min read #llm#openai#claude#gemini#apiPyTorch Complete Guide: Zero to Hero — From Tensors to Distributed Training
A comprehensive guide to mastering PyTorch from the basics to advanced techniques. Learn tensor operations, automatic differentiation, CNN/RNN/Transformer implementation, and distributed training with practical examples
2026-03-17 · 21 min read #pytorch#deep-learning#ai#python#neural-networkPython Advanced Techniques for AI/ML: Performance Optimization, Parallel Processing, Memory Management
A comprehensive guide to advanced Python techniques for AI/ML development. Master performance profiling, multiprocessing, async/await, Numba JIT, Cython, memory profiling, and type hints with practical examples.
2026-03-17 · 24 min read #python#advanced#performance#multiprocessing#numbaDeep Learning Model Quantization Complete Guide: Master INT8, INT4, GPTQ, AWQ, GGUF
A comprehensive guide to mastering deep learning model quantization. Understand the principles from FP32 to INT8 and INT4 quantization, and master GPTQ, AWQ, GGUF, bitsandbytes, AutoGPTQ, and llama.cpp through practical
2026-03-17 · 23 min read #quantization#model-compression#gptq#awq#ggufHuggingFace Ecosystem Complete Guide: Master Transformers, Datasets, PEFT, and Accelerate
A complete guide to mastering the entire HuggingFace ecosystem. Learn Transformers, Datasets, Tokenizers, PEFT, Accelerate, Diffusers, and Hub API with hands-on examples.
2026-03-17 · 18 min read #huggingface#transformers#peft#accelerate#nlpGenerative AI Complete Guide: Master GANs, VAEs, and Diffusion Models
A complete guide to mastering the core architectures of generative AI. Understand VAE, GAN, DDPM diffusion models, and Stable Diffusion from the ground up with mathematical derivations and complete PyTorch implementation
2026-03-17 · 22 min read #generative-ai#gan#vae#diffusion-model#stable-diffusionGraph Neural Networks Complete Guide: GCN, GAT, GraphSAGE to Molecular Design
A complete guide to Graph Neural Networks from fundamentals to cutting-edge research. Covers graph theory, GCN, GraphSAGE, GAT, Graph Transformer, molecular design, and social network analysis with PyTorch Geometric impl
2026-03-17 · 23 min read #gnn#graph-neural-network#gcn#gat#pytorch-geometricTabular Data ML Complete Guide: Master XGBoost, LightGBM, CatBoost, and TabNet
A complete guide to achieving top performance on tabular data. Master XGBoost, LightGBM, CatBoost ensembles, feature engineering, hyperparameter optimization, and deep learning-based TabNet with Kaggle-level practical te
2026-03-17 · 18 min read #tabular-ml#xgboost#lightgbm#catboost#gradient-boostingDeep Learning Debugging Complete Guide: From Diagnosing Training Failures to Performance Optimization
A complete guide to systematically diagnosing and resolving deep learning training failures. Covers Loss NaN, vanishing/exploding gradients, overfitting, slow convergence, and out-of-memory errors with real-world code ex
2026-03-17 · 19 min read #deep-learning#debugging#pytorch#training#optimizationEdge AI and On-Device ML Complete Guide: TFLite, ONNX, Core ML, llama.cpp
A complete guide to running AI models on edge devices. Learn hands-on how to deploy optimized AI in mobile and edge environments using TensorFlow Lite, ONNX Runtime, Core ML, MediaPipe, llama.cpp, and Whisper.cpp.
2026-03-17 · 25 min read #edge-ai#on-device-ml#tflite#onnx#core-mlDeep Learning Training Methods Complete Guide: From Optimization to Distributed Training
A comprehensive guide covering all techniques for effectively training deep learning models. Learn gradient descent, optimizers, learning rate scheduling, regularization, batch normalization, transfer learning, fine-tuni
2026-03-17 · 28 min read #deep-learning#training#optimization#regularization#distributed-trainingMultimodal AI Complete Guide: Master CLIP, LLaVA, GPT-4V, and Gemini Vision
A complete guide to mastering multimodal AI from fundamentals to the latest vision-language models. Learn CLIP, BLIP-2, LLaVA, InstructBLIP, GPT-4V, Gemini Vision, and Claude Vision with practical code, plus Multimodal R
2026-03-17 · 25 min read #multimodal#vision-language#clip#llava#gpt-4vAI System Design Complete Guide: From LLM Services to MLOps Architecture
A complete guide to designing production-grade AI systems. Learn real-world architectures for real-time inference systems, vector search infrastructure, LLM service architecture, data pipelines, and monitoring system des
2026-03-17 · 27 min read #system-design#ai-infrastructure#llm#mlops#architectureLLM Inference Optimization Complete Guide: KV Cache, Speculative Decoding, Continuous Batching
A complete guide to pushing LLM inference to its limits. Covers KV Cache, Speculative Decoding, Continuous Batching, PagedAttention, FlashInfer, multi-GPU inference, and DeepSeek MLA in depth.
2026-03-17 · 25 min read #llm#inference#optimization#kv-cache#speculative-decodingAI Agents Complete Guide: Building Autonomous AI Systems with LangChain, LangGraph, and CrewAI
A comprehensive guide to mastering AI agent systems. Build autonomous AI systems with real-world examples covering ReAct, Tool Use, and Function Calling through to LangChain agents, LangGraph workflows, and CrewAI multi-
2026-03-17 · 22 min read #ai-agent#langchain#langgraph#crewai#autonomous-ai