Designing Ml Systems Summary
serodriguez68
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML produ…
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serodriguez68
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML produ…
frankxai
Review the architecture of a system that calls a language model. Use when adding an agent loop, a retrieval path, a tool surface, or an MCP server to a codebase; when a…
Jacob-liu1996
A lightweight intelligent agent framework implementing the complete ReAct pattern
ContextJet-ai
Use this to estimate what an LLM call or feature will cost, and to compare models on price, before or after shipping. Trigger on "how much will this cost", "estimate my…
DeltaAnalytics
Machine learning fundamentals lesson in interactive notebooks
techwolf-ai
Answer questions using your project's knowledge base with evidence-backed citations. Every answer must cite literal quotes from KB files to prevent hallucinations. Use t…
gmaxxxie
ContextJet-ai
Use this to get a cheap, reference-free signal that an LLM answer might be made up, by sampling the same prompt a few times and measuring agreement. Trigger on "is this…
techwolf-ai
Import knowledge from existing documents into structured KB entries. Reads source documents (Markdown, PDF, DOCX, plain text), extracts key information, and creates prop…
techwolf-ai
Interactive onboarding to create a structured knowledge base. Defines categories, scaffolds the directory structure, creates the index, and optionally imports initial co…
poloclub
A JavaScript library that brings vector search and RAG to your browser!
techwolf-ai
Add new sources to your knowledge base or re-scrape existing ones to pick up changes. Supports Notion, Slack, Confluence, and local files. Can be run anytime after /setu…
czelabueno
Build programmatically custom agentic workflows, AI Agents, RAG systems for java
fuxiAIlab
CivAgent is an LLM-based Human-like Agent acting as a Digital Player within the Strategy Game Unciv.
ashvardanian
Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏
ChinaYiqun
This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more con…