🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Examples of Machine Learning code using Comet.ml

Questions, Help, and Issues for Comet ML

Comet-For-MLFlow Extension

LLM Evaluation and Observability System for Football Content

End-to-End Speech Recognition Training with Conformer CTC using PyTorch Lightning⚡

Open source contributions for integrations with comet_ml

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.

Enchanter is a library for machine learning tasks for comet.ml users.

Comet Java SDK

This work aims to classify the occurrence of a feedback error, i.e., the perception of an error by a user interacting with a Brain-Computer Interface (BCI). To achieve that, Convolutional Neural Network (CNN) models are developed.

End-to-end text classification project with Transformers, Comet ML, and Gradio

Python3 SDK for comet.ml

A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.

A simple template for classifying things

Something we build today

🐙 Explore the inner workings of large language models with hands-on Python and PyTorch code. Master LLM architecture, training, and mechanisms for AI systems.

Reproducibility code for “Evaluating the Performance of Large Language Models in Taxonomic Classification of Questions in Verbal Protocols of Design” (Published on AI EDAM).