Curated list of free LLM inference resources accessible via API.

Free curated technical interview preparation guide covering coding algorithms, system design, behavioral questions, and resume tips

Curated collection of technical interview questions and answers covering JavaScript, React, Java, SQL, and more

Curated awesome list of interview question collections across programming languages and technologies

Curated collection of free resources for AI/ML security, prompt injection, and AI pentesting, including guides, CTFs, and academic papers.

Detailed technical article by Sber describing a managed Deep Research pipeline built with GigaChat Ultra 3.1 using Planner, Extractor, Validator, and Answer Builder roles for controlled multi-step research

Technical deep-dive into MiMo Code, Xiaomi's open-source terminal-based coding agent designed for long-horizon automated programming tasks with infinite logical sessions and four-level memory architecture

Deep dive into vLLM's architecture covering paged attention, continuous batching, prefix caching, speculative decoding, chunked prefill, and multi-GPU/multi-node distributed serving.

Practical guide to building production DSPy applications covering async RAG pipelines, GEPA prompt optimization, FastAPI serving, and LangSmith monitoring.

Quick guide to help Unity developers create more robust, maintainable, and cleaner C# code.

LeetCode for PyTorch — practice implementing operators and architectures from scratch with instant auto-grading.

A hands-on course to build an LLM serving system from scratch using Python and MLX, covering inference, optimization, and batching.

Notebooks, data, and supplementary material for the third edition of Think Stats.

Technical book chronicling the journey of scaling a startup from a single server to global infrastructure.

Research post on dynamic context discovery — a token-efficient pattern for coding agents that pulls relevant context on demand via files rather than static context injection.

Harvard online course teaching Python for data science, covering Pandas, NumPy, Matplotlib, SKLearn, regression, classification, and ML fundamentals.

Tutorial on fine-tuning LFM2.5-1.2B-Instruct with GRPO and Unsloth for structured data extraction from OCR text.

Wiki related files for Electronics in PTHS Wiki (schematics, drawings, and images).

Anthropic's guide to context engineering strategies for building capable AI agents, covering compaction, structured note-taking, and sub-agent architectures.

Free companion website for the Deep Learning with Python book covering neural networks, TensorFlow, PyTorch, JAX, Keras, and real-world AI workflows.

Curated list of artificial intelligence tools, models, and platforms across the evolving ecosystem.

Workshop for IT/Ops teams to learn how to manage AI-enabled applications on Microsoft Azure.

Explain complex systems using visuals and simple terms to help prepare for system design interviews.

A project to engineer prompts that help understand AI agents and their behavior.

Thoughtworks methodology treating prompts as first-class delivery artifacts with the REASONS Canvas to make LLM-assisted changes governable, reviewable, and reusable.

Completed research on semantic retrieval augmented generation using novel semantic similarity graph traversal algorithms.

Comprehensive guide to SHAP (SHapley Additive exPlanations) covering waterfall plots, force plots, summary plots, and model interpretability for tree-based and deep learning models.

Perplexity's research paper introducing Search as Code (SaC), a programmable search architecture that exposes search primitives as composable SDK building blocks for AI agents

Comprehensive collection of advanced Retrieval-Augmented Generation techniques with detailed notebook tutorials.

Curated list of free university courses equivalent to an undergraduate computer science degree.

Open-source textbook and curriculum for machine learning systems engineering.

Implement a ChatGPT-like large language model in PyTorch from scratch, step by step.

Curated list of datasets and tools for post-training large language models focusing on accuracy, diversity, and complexity.

Course on making agentic coding tools reliable through environment design, state management, and control systems.

A nano Claude Code-like agent harness built from 0 to 1, teaching harness engineering through 12 progressive sessions.

Hands-on learning platform for Linux, Docker, Kubernetes, and networking with interactive tutorials, coding challenges, and sandboxed playgrounds.

Comprehensive guide to prompt engineering techniques for Claude's latest models, covering clarity, examples, XML structuring, thinking, and agentic systems.

Collection of notebooks and code snippets showcasing ways to build with Claude for developers.

Educational guide on Chain-of-Verification prompting, a self-critique technique to reduce LLM hallucinations through systematic verification questions.

Collection of step-by-step guides to rebuild popular technologies from scratch.

Curated list of awesome articles, videos, and other resources to learn and practice software architecture, patterns, and principles.

A curated list of awesome plugins, themes, agents, projects, and resources for Opencode AI coding agent.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

A curated collection of over 500 AI agent use cases across various industries with links to open-source projects for implementation.

Foundation model for tabular data classification and regression using in-context learning that eliminates manual feature engineering.

Curated collection of CS fundamentals for placement preparation covering DSA, computer networks, DBMS & SQL, OOPs, operating systems, system design, and software engineering.