Humans can spend a large amount of time thinking about a problem without outputting any "token".
In other words, there are iterative processes in the brain (e.g. implemented by recurrent networks) that are impossible to produce by an AR-LLM.
LLMS
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Brain iterative processes impossible for autoregressive LLMs
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Current AR-LLM Systems Lack Turing Completeness
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Another way to say that current AR-LLM are not Turing complete.
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What capabilities does Bard offer compared to other AI?
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Sad to hear that. What is bard doing better?
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Goal-Oriented AI Systems: Planning and Goal Discovery
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Not enough talk out there about goal-oriented AI systems. But I think going from auto-regressive token prediction to planning is a big part of it. As is goal exploration, discovery, extraction, and exploitation (ex: inverse reinforcement learning).
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Query Your Data Easily with LLMs on Abacus AI Platform
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Here is how easy it is to ask questions and get insights from your data: 1. Connect your data source to our platform
2. We'll process and index your information
3. You can use any of the available LLMs to query it. Check it out https://
abacus.ai -
From Torrent Seeds to Decentralized AI: Twenty Years of Sharing
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> Year 2003: Seeding torrents for decentralized file sharing. > Year 2023: Hosting an LLM for decentralized intelligence sharing.
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LLM Hallucinations Versus Fallible Memory: Key Distinction
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Fallible memory ≠ hallucination. When an LLM says Elon Musk died in a car accident, it is generating something that never happened & failing to validate against immense evidence that he is still alive. Totally different phenomenon from you forgetting where you left your keys.
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Inducing Novel Causal Relationships in AI Systems
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The open question is how to get AI systems (LLMs or otherwise) to induce novel causal relationships from experience.
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AI Tutor Leverages RAG for Deep Contextual Tech Learning
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Our AI tutor uses Retrieval Augmented Generation (RAG) to deliver clear, deep responses with context from a vast knowledge base of tech articles, unlike typical chatbots.
