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What's Missing From LLM Chatbots: A Sense of Purpose
GeneralThe Gradient·over 1 year agoReliable

What's Missing From LLM Chatbots: A Sense of Purpose

LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by benchmarks like MMLU, HumanEval, and MATH (e.g. sonnet 3.5, gpt-4o). However, as these measures get more and more saturated, is user experience increasing in proport

We Need Positive Visions for AI Grounded in Wellbeing
GeneralThe Gradient·over 1 year agoReliable

We Need Positive Visions for AI Grounded in Wellbeing

Introduction Imagine yourself a decade ago, jumping directly into the present shock of conversing naturally with an encyclopedic AI that crafts images, writes code, and debates philosophy. Won’t this technology almost certainly transform society — and hasn’t

Financial Market Applications of LLMs
GeneralThe Gradient·almost 2 years agoReliable

Financial Market Applications of LLMs

The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that repre

Mamba Explained
GeneralThe Gradient·about 2 years agoReliable

Mamba Explained

Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used Transformer models, addressing their inefficiency in processing long sequences.

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Do text embeddings perfectly encode text?
GeneralThe Gradient·about 2 years agoReliable

Do text embeddings perfectly encode text?

'Vec2text' can serve as a solution for accurately reverting embeddings back into text, thus highlighting the urgent need for revisiting security protocols around embedded data.

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