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Introducing HyperLLM - a new generation of Small Language Models called 'Hybrid Retrieval Transformers' that works with hyper-retrieval and world-class server less embedding to power instant fine-tuning and training, at 85% less cost.
About HyperLLM - Hybrid Retrieval Transformers on Product Hunt
“Build LLMs that costs 85% less on usage.”
HyperLLM - Hybrid Retrieval Transformers was submitted on Product Hunt and earned 17 upvotes and 2 comments, placing #43 on the daily leaderboard. Introducing HyperLLM - a new generation of Small Language Models called 'Hybrid Retrieval Transformers' that works with hyper-retrieval and world-class server less embedding to power instant fine-tuning and training, at 85% less cost.
Who hunted HyperLLM - Hybrid Retrieval Transformers?
HyperLLM - Hybrid Retrieval Transformers was hunted by Udit Akhouri. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Udit Akhouri