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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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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At GoodAI, we are committed to developing agents that are capable of continual and life-long learning. As part of our efforts, we have previously open-sourced the GoodAI LTM Benchmark, a suite of tests aimed to evaluate the Long-Term Memory (LTM).
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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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At GoodAI, we are dedicated to pushing the boundaries of artificial intelligence. Our current focus is on the development of Large Language Model (LLM)-based agents with personalities that go beyond simple conversations, and instead exhibit LLM-driven behaviors, interacting with humans.
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