Experimental News Clipping Site

Tag: large language models

  • Simon Willison’s Weblog: Quoting Magic AI

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    Source URL: https://simonwillison.net/2024/Aug/30/magic-ai/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Magic AI Feedly Summary: We have recently trained our first 100M token context model: LTM-2-mini. 100M tokens equals ~10 million lines of code or ~750 novels. For each decoded token, LTM-2-mini’s sequence-dimension algorithm is roughly 1000x cheaper than the attention mechanism in Llama 3.1 405B for…

  • Hacker News: Programming with ChatGPT

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    Source URL: https://henrikwarne.com/2024/08/25/programming-with-chatgpt/ Source: Hacker News Title: Programming with ChatGPT Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text illustrates the author’s practical experience with ChatGPT as a productivity tool in programming, particularly focusing on code generation and troubleshooting. It highlights how large language models (LLMs) can enhance efficiency in coding tasks while…

  • Hacker News: Show HN: Relari – Auto Prompt Optimizer as Lightweight Alternative to Finetuning

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    Source URL: https://news.ycombinator.com/item?id=41379408 Source: Hacker News Title: Show HN: Relari – Auto Prompt Optimizer as Lightweight Alternative to Finetuning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch and features of Relari’s LLM evaluation stack, particularly focusing on their Auto Prompt Optimizer. This tool enhances the adaptability and performance of…

  • Hacker News: OpenAI shows ‘Strawberry’ to feds, races to launch it

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    Source URL: https://www.lesswrong.com/posts/8oX4FTRa8MJodArhj/the-information-openai-shows-strawberry-to-feds-races-to Source: Hacker News Title: OpenAI shows ‘Strawberry’ to feds, races to launch it Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses OpenAI’s new model code-named Strawberry, which aims to enhance the capabilities of future AI models like Orion by producing high-quality synthetic data and reducing errors known as…

  • Hacker News: Cerebras Inference: AI at Instant Speed

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    Source URL: https://cerebras.ai/blog/introducing-cerebras-inference-ai-at-instant-speed/ Source: Hacker News Title: Cerebras Inference: AI at Instant Speed Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses Cerebras’ advanced inference capabilities for large language models (LLMs), particularly focusing on their ability to handle models with billions to trillions of parameters while maintaining accuracy through…

  • Hacker News: The Real Exponential Curve for LLMs

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    Source URL: https://fume.substack.com/p/inference-is-free-and-instant Source: Hacker News Title: The Real Exponential Curve for LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a nuanced perspective on the development trajectory of large language models (LLMs), arguing that while reasoning capabilities may not exponentially improve in the near future, the cost and speed of…

  • The Register: A quick guide to tool-calling in large language models

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    Source URL: https://www.theregister.com/2024/08/26/ai_llm_tool_calling/ Source: The Register Title: A quick guide to tool-calling in large language models Feedly Summary: A few lines of Python is all it takes to get a model to use a calculator or even automate your hypervisor Hands on Let’s say you’re tasked with solving a math problem like 4,242 x 1,977.…

  • Docker: How to Fix ESLint Violations with AI Assistance

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    Source URL: https://www.docker.com/blog/how-to-fix-eslint-violations-with-ai-assistance/ Source: Docker Title: How to Fix ESLint Violations with AI Assistance Feedly Summary: Learn how to use GenAI to fix ESLint violations, without installing Node. AI Summary and Description: Yes **Summary:** The text discusses the potential of AI-assisted tools, specifically for resolving ESLint violations in TypeScript projects through the use of large…

  • Hacker News: Exploring Impact of Code in Pre-Training

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    Source URL: https://arxiv.org/abs/2408.10914 Source: Hacker News Title: Exploring Impact of Code in Pre-Training Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the impact of including code in the pre-training datasets of large language models (LLMs). It explores how this practice significantly enhances performance in various tasks beyond just code generation, providing…

  • Hacker News: Biorecap: An R package for summarizing bioRxiv preprints with a local LLM

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    Source URL: https://blog.stephenturner.us/p/biorecap-r-package-for-summarizing-biorxiv-preprints-local-llm Source: Hacker News Title: Biorecap: An R package for summarizing bioRxiv preprints with a local LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the development and capabilities of an R package called “biorecap” that utilizes local LLMs (Large Language Models) to summarize recent research papers from bioRxiv.…