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Hivemind Alternatives
Similar projects and alternatives to hivemind
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Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
hivemind reviews and mentions
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You can now train a 70B language model at home
https://github.com/learning-at-home/hivemind is also relevant
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Would anyone be interested in contributing to some group projects?
I really hope you'll join me, for the Petals support, at least! A single docker-compose.yml file is all we need, for now. If we are able to find enough people willing to host some smaller models, perhaps we could expand into the Hivemind, and create our own, custom foundation model one day?
- Hive mind:Train deep learning models on thousands of volunteers across the world
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Could a model not be trained by a decentralized network? Like Seti @ home or kinda-sorta like bitcoin. Petals accomplishes this somewhat, but if raw computer power is the only barrier to open-source I'd be happy to try organizing decentalized computing efforts
Decentralized deep learning: https://github.com/learning-at-home/hivemind
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Orca (built on llama13b) looks like the new sheriff in town
https://github.com/learning-at-home/hivemind - same people behind it, was made before petals I think.
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Do you think that AI research will slow down to a halt because of regulation?
not if we rise to meet that challenge. here's a few tools that facilitate AI research in the face of an advanced persistent threat: Hivemind- a distributed Pytorch framework
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LLM@home
yeah, there's Hivemind. and there's research wrt how to chunk out training workload so it can be scaled up. not sure why there's commentary that latency issues would limit this sort of enterprise, the architecture typically isn't designed for liveness. other subfields of distributed training/inference include zero-knowledge machine learning. besides all of that, there's also adversarial computation like SafetyNets and refereed delegation of computation.
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[D] Google "We Have No Moat, And Neither Does OpenAI": Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI
We already have the software for it. There are some projects, but the one I'm most familiar with is https://github.com/learning-at-home/hivemind for training and it's sister project https://petals.ml/ for running large models distributed.
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Run 100B+ language models at home, BitTorrent‑style
I'm not entirely how the approach they're using works [0], but I study federated learning and one of the highly-cited survey papers has several chapters (5 and 6 in particular) addressing potential attacks, failure modes, and bias [1].
0: https://github.com/learning-at-home/hivemind
1: https://arxiv.org/abs/1912.04977
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SETI Home Is in Hibernation
The Hivemind project is just that
https://github.com/learning-at-home/hivemind
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A note from our sponsor - InfluxDB
www.influxdata.com | 4 May 2024
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learning-at-home/hivemind is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of hivemind is Python.
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