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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...

210,156 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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Culture is genetic because behavior is genetic. This beaver never saw a dam in its life. No beavers or anything else ever taught it to build a dam. It wants to build a dam because it is a beaver. Many beavers together build a big dam. That is beaver culture. Humans are not different. Nothing is different. This is what life is. This is how life works. Your body is your mind. A caterpillar wants to build a chrysalis. A bee wants to build a hive. A lion wants to build a pride. You are not special. You are not above your nature. you are INSIDE of it. The thoughts that we think are genetic thoughts. The crimes we commit are genetic crimes. The art we create is genetic art. Just like this beaver, you can give the animal different sticks and it will build a different dam, but it will always build a dam. And you can give humans different "education," but the human will always use it to do what its genes tell it to do. This is the first big answer that you need. This is the biggest piece of the puzzle. This is how to understand people 90% of the way. You just... notice what they do, and get out of the way, and watch them do it. And if they need sticks, you give them sticks. And if you don't like what they do, you have to get away from them. You cannot train dam-building into them or out of them any more than you can with a beaver. A beaver wants to build a dam because it is a beaver. Whatever you see people build, that's what they wanted to build from the sticks they got in the river they were in. Stop pretending you can change it.

hoe_math = PsychoMath

1,190,914 Aufrufe • vor 1 Jahr

Jensen Huang doesn’t use AI to think less. He uses it to think past his own limits. Huang: “90% of my instructions are actually conflated with questions.” The man running a five trillion dollar company doesn’t give AI commands. He interrogates it. Huang: “I take the answer from one AI, give it to the other AI, ask them to critique itself.” Same question. Multiple models. Pit them against each other. Keep only what survives. Not because the machine can’t be trusted. Because challenging it is where the sharpest thinking happens. Huang: “The process of critiquing, criticizing the answers, applying your critical thinking, enhances cognitive skills.” AI doesn’t replace your thinking. It demands more of it than you’ve ever given. Every question takes reasoning. Every answer takes scrutiny. The machine isn’t thinking for you. It’s pulling thinking out of you that didn’t exist before you sat down. Huang: “In order to formulate good questions, you have to be thinking, you have to be analytical, you have to be reasoning yourself.” AI is not the shortcut everyone thinks it is. It is the most powerful cognitive amplifier ever built. It sharpens the engaged. It leaves the passive exactly where they started. Same tool. Same access. The only variable is what you bring to it. The world is debating whether AI will replace human thinking. Wrong conversation. The real question is what happens when a tool built to think for you becomes the thing that forces you to think beyond yourself. That’s not a threat to humanity. That’s the entire point.

Dustin

19,902 Aufrufe • vor 1 Monat

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?

Nick Celt

11,138 Aufrufe • vor 5 Monaten