When Philosophy meets AI
-
Updated
May 31, 2025 - Python
#
opik
Here are 9 public repositories matching this topic...
An MCP Multimodal Agent for Video Processing
-
Updated
Jun 25, 2025 - TypeScript
Python command-line tool for interacting with AI models through the OpenRouter API/Cloudflare AI Gateway, or local self-hosted Ollama. Optionally support Microsoft LLMLingua prompt token compression
openai linkup opik rag openai-api txtai llms llm-inference openrouter ollama cloudflare-ai ollama-api prompt-compression structured-outputs openai-api-client openrouter-api cloudflare-ai-gateway ai-rag llmlingua
-
Updated
Jun 13, 2025
AI Agent built with Google ADK that leverages Google Maps MCP Server to answer real-world location questions with tool usage and traceable execution via Opik.
python mcp artificial-intelligence openai google-maps-api ai-agents opik comet-ml ai-agent llm-agent llm-tools gpt-4o model-context-protocol mcp-server model-context-protocol-servers adk-python
-
Updated
Jun 5, 2025 - Python
A complete Agentic RAG infrastructure using ZenML pipelines including ETL, Dataset generation, Embedding, Inference and Evaluation
-
Updated
May 22, 2025 - Python
MIT 6.S191 Lab 3 teaches you how to fine-tune large language models like Gemma 2B, structure prompts, and evaluate outputs using tools like Opik and LFM-40B.
-
Updated
Jun 17, 2025 - Jupyter Notebook
In this we implement opik llm evaluation metrics on medical data analyzer
-
Updated
Apr 11, 2025 - Python
In this lab, you will fine-tune a multi-billion parameter language model to generate specific style responses. You'll work with tokenization strategies, prompt templates, and a complete fine-tuning workflow to enhance LLM outputs. 🐙✨
-
Updated
Jun 25, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the opik topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the opik topic, visit your repo's landing page and select "manage topics."