I've managed to converge to a somehow consistent and highly rewarding interactions with the main models. Related to search, I dropped perplexity few months ago. I only use perplexity nowadays for their curated news section, which I read every day. What did this switch for me was…
🧠➕🔢 Research automation in action! We generated a new paper: primality test using circulant matrix eigenvalue structures—in just 24 hours. From math concept → formal paper → working implementation, our neurosymbolic platform compressed what would typically take months.
I genuinely don't understand why some people are still bullish about LLMs. I use GPT, Grok, Gemini, Mistral etc every day in the hope they'll save me time searching for information and summarizing it. They continue to fabricate links, references, and quotes, like they did from…
📢 Exciting developments in bridging the gap between machine learning research and production: We introduce PyFlow.ts! 🚀 PyFlow.ts is great tool that tackles the 'last mile' problem in ML deployment by enabling seamless integration of Python machine learning models with…
Thrilled to announce the completion of my PhD about "Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning". Immense gratitude to my supervisor @HochreiterSepp, co-supervisor Werner Zellinger, and advisor @GaryMarcus for their invaluable guidance. My…
ELLIS Machine Learning for Molecules workshop December 6, 2024, HYBRID Paper submission deadline: November 1st. Program chairs: @fra_grisoni @jtmargraf an me Webpage: moleculediscovery.github.io/workshop2024/ We hope to see you all there!
Excited to introduce Vision-LSTM (ViL): a new backbone for vision built on the xLSTM architecture. ViL creates patch tokens from an image and processes them with alternating bi-directional mLSTM blocks, where odd blocks process the sequence from the opposite direction. 🧵
Introducing Vision-LSTM - making xLSTM read images 🧠It works ... pretty, pretty well 🚀🚀 But convince yourself :) We are happy to share code already! 📜: arxiv.org/abs/2406.04303 🖥️: nx-ai.github.io/vision-lstm/ All credits to my stellar PhD @benediktalkin
New exciting research by @DinuMariusC with @ajayp95 (U of Pennsylvania) and @ExtensityAI. We show LLM self-improvement with synthetic data for web agent tasks on WebArena, and introduce an extended VERTEX score for measuring the trajectory quality of agent workflows.
Excited to present our work “Large Language Models Can Self-Improve At Web Agent Tasks”. We show that synthetic data self-improvement boosts task completion by 31% on WebArena and introduce quality metrics for measuring autonomous agent workflows. #AI #MachineLearning #LLMs [1/n]
![DinuMariusC's tweet image. Excited to present our work “Large Language Models Can Self-Improve At Web Agent Tasks”. We show that synthetic data self-improvement boosts task completion by 31% on WebArena and introduce quality metrics for measuring autonomous agent workflows. #AI #MachineLearning #LLMs [1/n]](https://pbs.twimg.com/media/GO6KikDaoAEisGP.png)
Proudly introducing the SymbolicAI framework in a formal light! This work is the culmination of countless hours of research, crossing out many phrases, writing and rewriting pages to find the right wording. Let's talk about the vision underlying SymbolicAI. 1/n
🚀 SymbolicAI – a framework for logic-based approaches combining generative models and solvers. Alongside, we introduce a benchmark and empirical measure to evaluate SOTA LLMs in AI-centric workflows. Read more in our paper arxiv.org/abs/2402.00854 #MachineLearning 🧠💡[1/n]
We are very proud to announce that after working on this project for over one year, our team has released a first version of our new benchmark, which defines a new baseline for AI-centric workflows using LLMs at their core. Find out more at extensity.ai
extensity.ai
ExtensityAI - AI Research Automation
ExtensityAI is a company specializing in neuro-symbolic AI technology. Their next-generation platform combines deep learning with symbolic reasoning to solve complex business and research challenges,...
🚀 SymbolicAI – a framework for logic-based approaches combining generative models and solvers. Alongside, we introduce a benchmark and empirical measure to evaluate SOTA LLMs in AI-centric workflows. Read more in our paper arxiv.org/abs/2402.00854 #MachineLearning 🧠💡[1/n]
I am sure this is part of it... github.com/ExtensityAI/sy… ExtensityAI's is a non-profit, and its core mission is to democratize what OpenAI is not telling you any more. See also this Reddit to see the fine-tuned query models: reddit.com/r/ChatGPT/comm… Support us at our mission. :)
1/n Breaking News! OpenAI has uncovered an emergent new cognitive capability, yet nobody is demanding answers! We are distracted by OpenAI governance politics and not the real issue!!!
Bring order into your life with our new feature - Chapterization #featurerelease #neurosymbolicAIframework youtu.be/eJwugsI4Qpc
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SymbolicAI - Chapterization Feature
Check out part two of the full Symvbolic AI Demo Interview #AIwednesday #neurosymbolicAIframework youtu.be/D-H8iNj9gcU
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Symbolic AI Framework Full Demo - Part 2 / Interview by John Tan...
Check out the first part of a full demo Interview from SymbolicAI #neurosymbolicAIframework #AIwednesday youtu.be/NObFyi6Jpjk
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Symbolic AI Framework Full Demo - Part 1 / Intervie by John Tan Chong...
Have a good start into this week! #MondayMotivation #GenerativeAI #memegenerator #neurosymbolicframework
Check out our indexer feature #featurefriday #neurosymbolicAIframework youtube.com/watch?v=l8ceD-…
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Feature Release SymbolicAI Framework - Indexer
Timezone Converter by extensityAI with the SymbolicAI Framework #AIwednesday #neurosymbolicAIFramework
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