A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.
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Documentation for Fine Tuning Guide, covering setup, features, and practical usage.
Documentation for Tune, covering setup, features, and practical usage.
Tunisian Speech Recognition uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source implementation of Google Vizier for hyper parameters tuning.
Instruct-tune LLaMA on consumer hardware.
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
Tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.
7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.
Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Kubernetes-based system for hyperparameter tuning and neural architecture search.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
No-code batch compute platform for LLM evaluation and tuning workloads.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Fine-tuned on AMD MI300X for the AMD Developer Hackathon 2026 (Fine-Tuning Track).
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.