Tag: llms
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Irrational Exuberance: Wardley mapping the LLM ecosystem.
Source URL: https://lethain.com/wardley-llm-ecosystem/ Source: Irrational Exuberance Title: Wardley mapping the LLM ecosystem. Feedly Summary: In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build…
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Simon Willison’s Weblog: Finally, a Replacement for BERT: Introducing ModernBERT
Source URL: https://simonwillison.net/2024/Dec/24/modernbert/ Source: Simon Willison’s Weblog Title: Finally, a Replacement for BERT: Introducing ModernBERT Feedly Summary: Finally, a Replacement for BERT: Introducing ModernBERT BERT was an early language model released by Google in October 2018. Unlike modern LLMs it wasn’t designed for generating text. BERT was trained for masked token prediction and was generally…
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Hacker News: Why are we using LLMs as calculators?
Source URL: https://vickiboykis.com/2024/11/09/why-are-we-using-llms-as-calculators/ Source: Hacker News Title: Why are we using LLMs as calculators? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and motivations behind using large language models (LLMs) for mathematical reasoning and calculations. It highlights the historical context of computing and the evolution of tasks from simple…
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Hacker News: Show HN: Otto-m8 – A low code AI/ML API deployment Platform
Source URL: https://github.com/farhan0167/otto-m8 Source: Hacker News Title: Show HN: Otto-m8 – A low code AI/ML API deployment Platform Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a flowchart-based automation platform named “otto-m8” designed to streamline the deployment of AI models, including both traditional deep learning and large language models (LLMs), through…
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Simon Willison’s Weblog: Quoting Jack Clark
Source URL: https://simonwillison.net/2024/Dec/23/jack-clark/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: There’s been a lot of strange reporting recently about how ‘scaling is hitting a wall’ – in a very narrow sense this is true in that larger models were getting less score improvement on challenging benchmarks than their predecessors, but in a…
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Hacker News: Offline Reinforcement Learning for LLM Multi-Step Reasoning
Source URL: https://arxiv.org/abs/2412.16145 Source: Hacker News Title: Offline Reinforcement Learning for LLM Multi-Step Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a novel offline reinforcement learning method, OREO, aimed at improving the multi-step reasoning abilities of large language models (LLMs). This has significant implications in AI security…