Falcon: Big, fast, and now open to everyone
The new Falcon family brings three language models into the open, built to read and write text like a human, but faster.
The smallest is quick and light, while the largest — Falcon-180B — learned from more than 3.
5 trillion tokens of web words, yes that many, and it shows.
They match many top commercial systems and do so with less cost, so people and teams can use powerful tools without huge bills, its true.
The project shares code, models and a large slice of their web dataset to help anyone experiment, which means more people can explore and build with open models.
Training used clever engineering to run on many cloud machines at once, so the work finished sooner than expected, though some hiccups happened along the way.
This is a big step for wide access to strong text tools, and it invites creators, students and small labs to try new ideas, get inspired and make things better together, a real big release for the open community.
Read article comprehensive review in Paperium.net:
The Falcon Series of Open Language Models
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
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