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🚀 The definitive roadmap to becoming a Forward Deployment Engineer (FDE). Master AI Agents, Enterprise Data Architecture, and Strategic Consulting. Bridging the gap between HQ and the field. Inspir…
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
Reinforcement Learning for LLMs, Published by Packt
This repository provides the code samples for the book "RL for LLM Made Easy" by Arun Shankar and Michael Chertushkin
The context API to search, scrape, and interact with the web at scale. 🔥
GenAI with Google Gemini: 5 transport approaches REST → Streaming → SSE → WebSockets → gRPC
Grokking Deep Reinforcement Learning
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
A multi-agent system that collaboratively ideates and constructs lightweight web applications, leveraging a curated set of public APIs.
AgenticSearch operates within an agentic workflow, utilizing Gemini 2.0 and an extensive tool registry to handle complex questions. By integrating and synthesizing data from multiple APIs, it deliv…
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
A developer guide for Gemini's Multimodal Live API
The first AI Agent Server, Eidolon is a pluggable Agent SDK and enterprise ready, deployment server for Agentic applications
Repository demonstrating best practices and patterns for implementing agentic workflows in Python, featuring modular, scalable, and reusable design patterns for intelligent automation.
A collection of architectural patterns leveraging Large Language Models (LLMs) for efficient Text-to-SQL generation.
👩⚖️ Agent-as-a-Judge: The Magic for Open-Endedness
This repo compiles a collection of examples that demonstrate the effective use of the ReAct pattern in LLM prompting. It includes variations and implementations of agents that leverage the ReAct pa…
"Clean and comprehensive examples for fine-tuning LLMs supported by Vertex AI, including proprietary, open-source, and third-party models."
A repository showcasing Python design patterns specifically adapted for building robust and efficient AI workflows.
Repository dedicated to enhancing data retrieval and processing efficiencies in Google Cloud's Vertex AI by implementing a semantic caching layer with MemoryStore, Vertex AI Vector Search, and Gemi…
Architectural Blueprints for RAG Automation: Advanced Document Understanding using Vertex AI Search
Python pipeline that automates URL batching for creating search apps with Google Cloud's Vertex AI Search.
Agents Capable of Self-Editing Their Prompts / Python Code
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
FaaS (Function as a service) framework for writing portable Python functions