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FineTune is a free and open-source macOS menu bar app for audio control. It provides per-app volume sliders, per-app volume boost presets, routing of audio to multiple devices, and a 10-band EQ with headphone correction. Apps playing audio appear automatically in the menu bar, and users adjust sliders, route audio and explore EQ from there.
A blog guide on FinetuneDB covering best practices for evaluating Large Language Model outputs. It explains what LLM output evaluation is, why it matters, and describes evaluation datasets, model-based judgments and human judgments as approaches for structuring the process.
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.
Falcon-40B-Instruct is a 40B parameter causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize, released under the Apache 2.0 license. It is intended as a ready-to-use chat and instruct model, and the card notes it may not be ideal for further finetuning. The model is trained mostly on English data, and users are advised to take precautions for production use.
Research-Digest is a Flask application that scrapes arXiv weekly for newly published papers in fields including computer vision and machine learning, then offers a summarization feature so users can grasp key points. Summarization uses a T5 model finetuned on scientific articles, with weights and tokenizers stored locally.
