Stories by shcheklein

Evidently: Open-source ML observability platform

Using VS Code to track and visualize ML experiments

Hirsch Index for Open Source Contributors

Axolotl: Fine-tuning framework for various AI models

Structured text generation and robust prompting for open LLMs

Fast and scalable dataset preparation and curation tool from Nvidia

CML: Continuous Machine Learning CI/CD for ML

Choosing the right embedding model for a RAG system

Albumentations: Python library for fast image augmentations

Albumentations: Fast Image Augmentations

Pixeltable: Store, transform, index, and iterate on data for ML

A Python package for working with SEC filings at scale

Dstack: An alternative to k8s for AI/ML tasks

DataChain: DBT for Unstructured Data

Transform and optimize datasets for fast AI model training

Brute-Forcing the LLM Guardrails

Experiment Tracking and Visualization in VS Code

ML experiment tracking and visualization plugin for VS Code

Hirsch Index for Open Source Contributors

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