mozilla-ai / federated-finetuningLinks
Blueprint for federated finetuning, enabling multiple data owners to collaboratively fine-tune models without sharing raw data. Developed in collaboration with Flower.
☆39Updated 3 weeks ago
Alternatives and similar repositories for federated-finetuning
Users that are interested in federated-finetuning are comparing it to the libraries listed below
Sorting:
- A framework for fine-tuning retrieval-augmented generation (RAG) systems.☆139Updated 3 weeks ago
- Matrix (Multi-Agent daTa geneRation Infra and eXperimentation framework) is a versatile engine for multi-agent conversational data genera…☆261Updated this week
- A framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings.☆174Updated this week
- Source code for the collaborative reasoner research project at Meta FAIR.☆112Updated 9 months ago
- The Granite Guardian models are designed to detect risks in prompts and responses.☆130Updated 4 months ago
- ☆43Updated last year
- LangFair is a Python library for conducting use-case level LLM bias and fairness assessments☆252Updated last month
- A curated list of materials on AI guardrails☆45Updated 8 months ago
- A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use…☆177Updated this week
- Leveraging Base Language Models for Few-Shot Synthetic Data Generation☆40Updated 3 months ago
- ☆80Updated 4 months ago
- A tool that facilitates easy, efficient and high-quality fine-tuning of Cohere's models☆76Updated 10 months ago
- ☆147Updated last year
- The code for the paper ROUTERBENCH: A Benchmark for Multi-LLM Routing System☆153Updated last year
- Codebase accompanying the Summary of a Haystack paper.☆80Updated last year
- ☆106Updated 10 months ago
- all code examples in the blog posts☆21Updated last year
- Source code of "How to Correctly do Semantic Backpropagation on Language-based Agentic Systems" 🤖☆76Updated last year
- ☆102Updated last year
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute…☆51Updated last year
- ☆80Updated last year
- A method for steering llms to better follow instructions☆78Updated 6 months ago
- Evaluating LLMs with fewer examples☆169Updated last year
- Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models☆115Updated 10 months ago
- ☆238Updated 2 months ago
- Unofficial implementation of https://arxiv.org/pdf/2407.14679☆53Updated last year
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆288Updated this week
- a curated list of the role of small models in the LLM era☆111Updated last year
- Fine-tune an LLM to perform batch inference and online serving.☆120Updated 8 months ago
- Code for evaluating with Flow-Judge-v0.1 - an open-source, lightweight (3.8B) language model optimized for LLM system evaluations. Crafte…☆84Updated last year