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Fastino Raises 17.5 M To Launch TLMS That Do One Job Really Well

Developed by in-house AI researchers from Google DeepMind, Stanford, Carnegie Mellon, and Apple Intelligence, these models deliver performance that is 99 times faster than standard large language models (LLMs), making them both cost-effective and scalable.



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Fastino Raises 17.5 M To Launch TLMS That Do One Job Really Well

https://aimresearch.co/ai-startups/fastino-raises-17-5-m-to-launch-tlms-that-do-one-job-really-well

Developed by in-house AI researchers from Google DeepMind, Stanford, Carnegie Mellon, and Apple Intelligence, these models deliver performance that is 99 times faster than standard large language models (LLMs), making them both cost-effective and scalable.



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https://aimresearch.co/ai-startups/fastino-raises-17-5-m-to-launch-tlms-that-do-one-job-really-well

Fastino Raises 17.5 M To Launch TLMS That Do One Job Really Well

Developed by in-house AI researchers from Google DeepMind, Stanford, Carnegie Mellon, and Apple Intelligence, these models deliver performance that is 99 times faster than standard large language models (LLMs), making them both cost-effective and scalable.

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      Developed by in-house AI researchers from Google DeepMind, Stanford, Carnegie Mellon, and Apple Intelligence, these models deliver performance that is 99 times faster than standard large language models (LLMs), making them both cost-effective and scalable.

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      Developed by in-house AI researchers from Google DeepMind, Stanford, Carnegie Mellon, and Apple Intelligence, these models deliver performance that is 99 times faster than standard large language models (LLMs), making them both cost-effective and scalable.
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