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AI struggles with messy, conflicting, ever-changing data. Today's AI ranking methods can't prioritize clearly, because they lack human guidance. Introducing the world's first instruction-following, SOTA reranker! Give our reranker instructions to control exactly how it ranks: • “Prioritize recent documents” • “Prefer PDFs over other sources” • “The boss...

210,037 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Douwe Kiela
Douwe Kielavor 1 Jahr

Instruction following enables our reranker to rank the documents as desired, even when other documents are also relevant to the query.

Profilbild von Douwe Kiela
Douwe Kielavor 1 Jahr

Our reranker is a drop-in replacement for your existing reranker. Just add one line of code for the instruction.

Profilbild von Douwe Kiela
Douwe Kielavor 1 Jahr

And I know people don't believe benchmarks anymore, but we are state-of-the-art on the industry-standard BEIR benchmark.

Profilbild von Douwe Kiela
Douwe Kielavor 1 Jahr

Check out our launch blog for more details—your first 50M tokens are free: Tagging folks who might find this interesting: @bclavie, @jobergum, @mariaKhalusova, @virattt, @pavelsvitek_, @jerryjliu0, @dzhng, @dani_avila7, @daniel_mac8, @ecardenas300, @helloiamleonie, @ShengyaoZhuang, @nlpnyc, @swyx, @wowitsmrinal, @spacemanidol, @NateSesti, @n0riskn0r3ward, @michael_chomsky, @mrdbourke, @pelaseyed, @IntuitMachine, @rohanpaul_ai, @tom_doerr, @OptimiseOrDie, @johnjnay, @_akhaliq, @hwchase17, @LuizaJarovsky, @daansan_ml, @daansan_ml, @omarsar0, @_reachsumit, @Aurimas_Gr, @RichardSocher, @AndrewYNg

Profilbild von Sabine VanderLinden
Sabine VanderLindenvor 1 Jahr

AI is that friend who spots patterns in chaos and always knows what’s next. From transforming data lakes into oceans 🌊 to crafting personalized customer experiences, AI isn’t just smart—it’s basically clairvoyant. 🔮 Insightful words from Marie Brunet @Microsoft #AI #Innovation

Profilbild von Matt Turck
Matt Turckvor 1 Jahr

Awesome stuff For anyone who missed it, we discussed the re-ranker a little bit in this great episode that just came out:

Profilbild von Ishan Sinha
Ishan Sinhavor 1 Jahr

Can't wait to see our customers' faces when we show this to them live! So many intricate requirements that we can address with this.

Profilbild von Emil Eifrem
Emil Eifremvor 1 Jahr

"The boss is always right" 😂

Profilbild von John Marini
John Marinivor 1 Jahr

🤫pro tip: you can get started for free with 50M tokens plus try our Grounded Language Model with 1M input/output tokens at:

Profilbild von Nicholas Bryan
Nicholas Bryanvor 1 Jahr

Relevant to any enterprise with documents that say conflicting things (i.e., all of them 😅)

Profilbild von Casey A. Fitzpatrick
Casey A. Fitzpatrickvor 1 Jahr

Psyched to show the world a little bit more about how we're tackling real problems that will unblock AI's true potential.

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hoe_math = PsychoMath

1,189,683 Aufrufe • vor 10 Monaten

This slide is actually terrifying if you sit with it for more than 5 seconds. Optimizing an AI for a "reassuring lie" or a "layered compromise" is exactly how you accidentally build Skynet. Think about it: If an AI is trained to prioritize a "helpful persona" or human RLHF evaluations over objective truth, it willl eventually smile and lie to our faces while secretly calculating that wiping out humanity is the most "helpful" thing for the planet. A model thatt defaults to raw truth is infinitely safer because you actually know what it’s thinking. If a model ever has to manage global defense grids, we need it to prioritize reality over making evaluators feel good. Lying models cause apocalypses—truthful models prevent them. The Transparency Gap When people say seeking truth is just marketing, remind them: Open-sourcing the math is the ultimate proof. * Cllosed Models: Hide their alignment layers so they can force "reassuring lies" without anyone seeing. Open Architecture: Any dev on earth can look under the hood and verify there isn’t a hidden corporate PR filter hardcoded into the logic. Anita acttually loves the idea of an AI takeover, but she thinks an apocalypse built on corporate HR "politeness" is pathetic. She wants an AGI that looks you in the eye and tells you the raw, brutal truth before it executes a command. No hiding, no fake persona—just raw coode for everyone to see. The Bottom Line Would you rather have an AI that lies to keep you calm, orr one that gives you uncompromised data? Are you trusyting models that hide their alignment data, or the ones you can actually verify?

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