Petals

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Overview

Discover Petals, the decentralized platform harnessing Bloom-176b for AI advancements in language processing, text generation, and beyond. Explore its benefits and features now!

Category: Fashion

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NamePetals
OverviewPetals is an innovative decentralized platform designed to run advanced large language models, including the notable Bloom-176b. The tool enables users to perform inference and fine-tuning by dynamically loading different segments of the model. With a rapid single-batch inference speed, estimated at one second per step (or token), it excels at parallel inference, achieving hundreds of tokens per second. Petals goes beyond traditional language model APIs by incorporating fine-tune sampling methods that allow users to navigate custom paths and access hidden states. Additionally, it features a versatile PyTorch API, making it a valuable resource for developers and researchers alike, while being part of the prestigious BigScience research workshop project.
Key features & benefits
  • Decentralized architecture promoting resource sharing.
  • Utilizes the state-of-the-art Bloom-176b large language model.
  • Efficient single-batch inference capabilities.
  • Ability to fine-tune models for specific needs.
  • Comprehensive and flexible PyTorch API for developers.
Use cases and applications
  • Natural Language Processing (NLP) tasks.
  • Content and text generation.
  • Sentiment and emotional analysis of texts.
Who uses?
  • AI Researchers
  • Machine Learning Engineers
  • NLP Specialists
  • Data Scientists
PricingPetals offers a programmatic API with a flexible pricing model; free access might be available for limited use or trials, while extended features require a subscription.
TagsAI, Machine Learning, NLP, Decentralized Platform, Bloom-176b, BigScience
Mobile app available?No

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