ai-systems

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

A Python package to assess and improve fairness of machine learning models.

A source-grounded course and architectural reference for engineers designing systems that must survive real traffic, partial failure, security review, and changing requirements, spanning enterprise system design, distributed systems, AI systems, cybersecurity, reliability, cloud, HPC, edge, and mission-critical infrastructure.

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

Official implementation of Meta Prompting for AI Systems (https://arxiv.org/abs/2311.11482)

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

AI Systems as Scientific Instruments for Understanding the Mechanisms of Intelligence

An innovative AI system developed to extract actionable insights by converting natural language into SQL queries via Google's Gemini model and dynamically visualizing the data with Plotly Express, streamlining decision-making across all levels of expertise.

Tamper-evident evidence infrastructure for AI agents. Capture, seal, verify, and audit AI decisions in a single portable .epi file.

A curated list of AI safety resources: alignment, interpretability, governance, verification, and responsible deployment of frontier AI systems.

Saturn accelerates the training of large-scale deep learning models with a novel joint optimization approach.

Profile README for AI systems, creative tools, and aesthetics-driven developer products.

Source repo for the blog post Stop Stuffing Your System Prompt: Build Scalable Agent Skills in LangGraph

Resources for recent AI systems (deployment concerns, cost and accessibility). -- closed

A high-performance, Ring-3 system agent for AMD RDNA architectures designed to mitigate DPC latency spikes and dynamically optimize GPU thermal limits for pristine frame pacing.

World's first compiler and execution platform for AI systems — turn prompts, skills, and multi-step agent workflows into versioned, packageable software that runs with dependency-aware parallel execution.

Organize your AI agent teams with the Viable System Model. The missing organizational layer for multi-agent systems.

🧾 Open, hands-on AI education program — from Machine Learning to Generative Intelligence. Weekly lessons in Jupyter Notebooks, ready for Google Colab.🧾

Curated intelligence layer for generative and agentic AI, translating research into production systems | AditiKhare.com — AI Product Ecosystem

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.