The lack of training data for maths, especially those at the Olympiad level, motivated us to generate everything synthetically. Key to this process is the idea of "symbolic deduction and traceback". We start from random diagrams, try to find all properties through forward
RESEARCH
-

Google Quantum AI Lab: Art Meets Innovation in Santa Barbara
By
–
The Google Quantum AI team embraces the intersection between art & science, as seen in their quantum computing labs in Santa Barbara, CA. Check out @NewsHour’s walk-through of this space, where art brings the lab to life and inspires innovation →https://t.co/ZIqiT48OOI pic.twitter.com/wKs2aXewQP
— Google AI (@GoogleAI) 17 janvier 2024The Google Quantum AI team embraces the intersection between art & science, as seen in their quantum computing labs in Santa Barbara, CA. Check out @NewsHour
’s walk-through of this space, where art brings the lab to life and inspires innovation →
https://
goo.gle/47CNhZS -
AlphaGeometry Breakthrough: Neuro-Symbolic AI Solves Olympiad Geometry
By
–
Congrats to the #AlphaGeometry team on their impressive breakthrough published today in @Nature using a neuro-symbolic hybrid AI system that can solve Maths Olympiad-level geometry problems.
-

Top 10 Ways to Boost LLM Outputs from Research
By
–
That's the top 10 surprising ways to boost LLM outputs. The full paper outlined 26 ways, but these 10 felt the most applicable after it started to get repetitive. Here's the link to the full paper: https://
arxiv.org/pdf/2312.16171
v1.pdf
… -

Prompts for Deeper Understanding of Complex Topics
By
–
1. To clarify or get a deeper understanding of a topic, or any piece of information, use the following prompts:
— The Rundown AI (@TheRundownAI) 17 janvier 2024
-Explain [insert specific topic] in simple terms.
-Explain to me like I’m 11 years old.
-Explain to me as if I’m a beginner in [field]. pic.twitter.com/Dj826r5MbD1. To clarify or get a deeper understanding of a topic, or any piece of information, use the following prompts: -Explain [insert specific topic] in simple terms.
-Explain to me like I’m 11 years old.
-Explain to me as if I’m a beginner in [field]. -
AlphaGeometry Solves 25 Olympiad Geometry Problems at Human Level
By
–
“AlphaGeometry solved 25 within the standard Olympiad time limit. For comparison, the previous state-of-the-art system solved 10 of these geometry problems, and the average human gold medalist solved 25.9 problems.”
-

Solving Problems with Synthetic Data Only
By
–
Solely on synthetic data? LFG, next problem solved ✅ https://t.co/BZEep1W7TK
— Chubby♨️ (@kimmonismus) 17 janvier 2024Solely on synthetic data? LFG, next problem solved
-

AlphaGeometry Neuro-Symbolic Architecture: System 1 and System 2
By
–
This is the neuro-symbolic architecture of #AlphaGeometry. Similar to System1 and System 2, in the book "Thinking, fast and slow", the symbolic engine will first take a crack at the problem mechanically; if it gets stuck it will ask the neural language model for suggestions of
-
AlphaGeometry: DeepMind’s AI Solves Olympiad Geometry Problems
By
–
Super thrilled to share our latest work, AlphaGeometry from @GoogleDeepMind , the first AI system ever approaching the IMO gold medalists in solving Olympiad geometry math problems. Published today at Nature, titled “Solving olympiad geometry without human demonstrations”, our… pic.twitter.com/jWghK2M2OD
— Thang Luong (@lmthang) 17 janvier 2024Super thrilled to share our latest work, AlphaGeometry from @GoogleDeepMind , the first AI system ever approaching the IMO gold medalists in solving Olympiad geometry math problems. Published today at Nature, titled “Solving olympiad geometry without human demonstrations”, our
-

SAS Viya Enhances Enterprise Decisioning with Generative AI
By
–
SAS Viya has the data analytics tools to sharpen enterprise decisioning. Get the most out of generative AI in 2024 by embracing multimodal AI . More predictions from SAS experts: http://
2.sas.com/6017rPQax #SASPredictions #GenAI
