Just listened to this insightful episode of @BBCRadio4 The Artificial Human with @aleksk and @Kevin_Fong
, where they discuss the problem of high energy consumption in AI. https://
bbc.co.uk/sounds/play/m0
0208g4
… With our record breaking performance, SambaNova is proud to run Meta’s Llama
@sambanovaai
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SambaNova Reduces AI Energy Consumption with Llama Meta
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SubgoalXL: AI Breakthrough in Automated Mathematical Theorem Proving
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New blog alert Introducing SubgoalXL, a significant step forward in the field of AI-powered theorem proving. By combining novel methodologies with state-of-the-art hardware, we've demonstrated that AI can tackle increasingly complex mathematical reasoning tasks with
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CEO shares Llama 405B record performance at Global AI Summit
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Our team will be at @globalaisummit 2024 next week where our CEO & Co-Founder, @RodrigoLiang
, will share more about our world record performance on the best open source model, Llama 405B. See you at #GAIN2024! Learn more https://
globalaisummit.org/en/default.aspx #AI #LLM -
SubgoalXL: Advanced AI Reasoning and Proof Formalization Framework
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Check out our work: GitHub: https://
github.com/zhaoxlpku/Subg
oalXL
… Datasets & Models: https://
huggingface.co/collections/xl
-zhao/subgoalxl-66c84b77e0eaf131c0cdac15
… Paper: https://
arxiv.org/abs/2408.11172
Join us in pushing the boundaries of AI reasoning! #AI #LLM #SubgoalXL #AIResearch #ProofFormalization #MachineAssistedProofs -
Subgoal-based framework improves theorem proving with expert learning
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Our new framework combines subgoal-based proofs with expert learning for theorem proving in Isabelle. Subgoal-based proofs break complex reasoning into intermediate steps, aligning with formal proof structures. Expert learning iteratively refines formal statement, proof,
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SubgoalXL Enhances Multi-Step Reasoning in Large Language Models
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Key strengths of SubgoalXL: • Subgoal-based decomposition for improved reasoning
• Iterative refinement through expert learning
• Efficient use of limited formal and informal data
Result: Enhanced multi-step reasoning in LLMs! -
SubgoalXL Improves LLM Theorem Proving Efficiency
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SubgoalXL tackles two major challenges in LLM theorem proving: Scarcity of specialized theorem-proving data Complexity in multi-step reasoning for formal proofs
Our solution: Optimizing data efficiency and structuring proofs into manageable subgoals. -
SubgoalXL Advances LLM Reasoning for Theorem Proving
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Continue to push the boundaries of LLM reasoning! Excited to announce SubgoalXL, a joint effort advancing the frontier of AI-powered theorem proving between @HKUniversity (
@xlzhao_hku
, @linzhengisme
, @ikekong
) and @SambaNovaAI
. On miniF2F, a challenging theorem proving -
SambaNova’s Llama 3.1 405B API Four Times Faster Performance
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Have you tried Meta's Llama 3.1 405B yet? Compared to other providers, SambaNova’s API is 4X quicker, making it the fastest and most efficient option out there. 🎯
— SambaNova (@SambaNovaAI) 3 septembre 2024
Sign up for early access now ⤵️ https://t.co/2dZqYnYimA
Feel the speed yourself at https://t.co/b3eoOhy93x ⚡️… pic.twitter.com/RYwMCl8w1bHave you tried Meta's Llama 3.1 405B yet? Compared to other providers, SambaNova’s API is 4X quicker, making it the fastest and most efficient option out there. Sign up for early access now https://
lnkd.in/g9W_Bnjv Feel the speed yourself at http://
sambanova.ai -
Team Wellness: Recharging for AI Innovation Success
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Recharge. Refresh. Repeat! We believe taking time to unwind on the weekends is essential to coming back stronger & more innovative on Monday! Our team uses downtime to refuel & focus on delivering the best #AI solutions. How do you recharge? #WorkLifeBalance