Key Findings: Large Language Models (LLMs) exhibit significant limitations in handling sequentially dependent operations. Our simple word-swap experiment reveals that most models struggle to perform correctly beyond two consecutive word swap operations, highlighting a critical weakness in their sequential reasoning.
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We’re excited to announce the fifth major update to Charlie Mnemonic, your open-source AI assistant with Long-Term Memory. This release brings groundbreaking features, including Chain-of-Thought reasoning and an integrated Recall system that allows you to effortlessly search and reference past.
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We are glad to announce that our paper “Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models” has been accepted to NeurIPS 2024, where we will have the opportunity to share our work and knowledge in relation to Long-Term Memory.
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We are announcing major updates for Charlie Mnemonic, your AI assistant with Long-Term Memory that’s getting smarter and more capable every day. We’ve been working hard to integrate new features and improve existing ones, and we are excited to share.
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Summary: AI’s Role and Humanity’s Future: AI’s advancement prompts questions about humanity’s role and the need for a resilient society guided by values. Society for Resilient Civilization: The “Society for Resilient Civilization” is proposed, aiming to ensure AI benefits all,.
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A Standardization Release: The main purpose of the GoodAI LTM Benchmark has always been to serve as an objective measure for our progress in the development of agents capable of continual and life-long learning.
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Note: This post is part of a series of blogposts on the LTM benchmark. In the first post we outline our motivation for the benchmark, and in the next post we describe the current results. At GoodAI, we are committed to.
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As part of our research efforts in continual learning, we are open-sourcing Charlie Mnemonic, the first personal assistant (LLM agent) equipped with Long-Term Memory (LTM).
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As part of our research efforts in the area of continual learning, we are open-sourcing a benchmark for testing agents’ ability to perform tasks involving the advanced use of the memory over very long conversations.
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At GoodAI, we are deeply committed to the advancement of safe AGI. Large language models (LLMs) undoubtedly offer significant power, but on their own, they have limitations — notably, the inability to learn new skills post-deployment. It's here that our.
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