To be clear — the solution published via blogpost yesterday based on discrete program search driven by GPT-4o does not appear to be a new SotA at this time. That would still be @Jcole75Cole (with pure symbolic approaches not far behind).
RESEARCH
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LLMs Outdated: Introducing MMMM-SAWs Next Generation
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LLMs are yesterday’s news. We do MMMM-SAWs (massive multimodal models modulo the stuff that actually works).
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Cerebras CTO Presents at International Trillion Parameter Consortium
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Join Us at the European Kick-Off of the International Trillion Parameter Consortium (TPC)! June 19-21, 2024 Occidental Atenea Mar, Barcelona, Spain Cerebras Field CTO, Natalia Vassilieva, will be presenting at two highly anticipated breakout sessions: MAPE:
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African AI Communities Reach 42 Countries Milestone
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Insightful report with a broad set of insights. Its outcomes highlight the needed for support of African AI organisations, like @DeepIndaba
. This year we reach a new milestone of AI communities in 42 of Africa’s countries Please continue to connect us to donors and supporters -
Knowledge Graph vs Attention: Building Explicit Structure in Context
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your 2cents on whether its worth making the context consumer create a knowledge graph as it chews thru the corpus instead of just "attention take the wheel"? pro: neurosymbolic
con: not bitter lesson pilled -
Choosing the Right GenAI Model for Your Project
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What #GenAI model is right for your project? 🤔
— Databricks (@databricks) 18 juin 2024
Databricks’ Staff Developer Advocate Holly Smith compares models in our latest video — check it out 👉 https://t.co/ZPajVVSkrQ pic.twitter.com/JkzLFlMyorWhat #GenAI model is right for your project? Databricks’ Staff Developer Advocate Holly Smith compares models in our latest video — check it out https://
bit.ly/44vCOQb -
Structured Generation: The Future of Large Language Models
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structured generation is the future of LLMs @dottxtai
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AI Safety Paper and Code Released on Refusal Direction
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The authors of the original blog post released the paper and code! Paper: https://
arxiv.org/abs/2406.11717 Code: https://
github.com/andyrdt/refusa
l_direction
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Stanford Vision Lab Alumni at CVPR 2024 Conference
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Alums of @StanfordSVL who are at #CVPR2024 , we’d love to see you