Tag: large language model
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Hacker News: Generative AI Has an E-Waste Problem
Source URL: https://spectrum.ieee.org/e-waste Source: Hacker News Title: Generative AI Has an E-Waste Problem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a significant increase in private investment in generative AI and its substantial impact on the production of electronic waste (e-waste), particularly focusing on large language models (LLMs). It highlights the…
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Hacker News: Show HN: Mem0 Browser Extension: Shared Memory Across ChatGPT,Claude,Perplexity
Source URL: https://github.com/mem0ai/mem0-chrome-extension Source: Hacker News Title: Show HN: Mem0 Browser Extension: Shared Memory Across ChatGPT,Claude,Perplexity Feedly Summary: Comments AI Summary and Description: Yes Summary: The Mem0 Chrome Extension enhances interaction with AI assistants by introducing memory capabilities that share context across various platforms, including ChatGPT and Claude. This enables more personalized and efficient conversations,…
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Simon Willison’s Weblog: Claude 3.5 Haiku
Source URL: https://simonwillison.net/2024/Nov/4/haiku/#atom-everything Source: Simon Willison’s Weblog Title: Claude 3.5 Haiku Feedly Summary: Anthropic released Claude 3.5 Haiku today, a few days later than expected (they said it would be out by the end of October). I was expecting this to be a complete replacement for their existing Claude 3 Haiku model, in the same…
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Cloud Blog: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames
Source URL: https://cloud.google.com/blog/products/data-analytics/synthetic-data-generation-with-gretel-and-bigquery-dataframes/ Source: Cloud Blog Title: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames Feedly Summary: In our previous post, we explored how integrating Gretel with BigQuery DataFrames streamlines synthetic data generation while preserving data privacy. To recap, BigQuery DataFrames is a Python client for BigQuery, providing pandas-compatible APIs with…
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Hacker News: Large Language Models Are Changing Collective Intelligence Forever
Source URL: https://www.cmu.edu/tepper/news/stories/2024/september/collective-intelligence-and-llms.html Source: Hacker News Title: Large Language Models Are Changing Collective Intelligence Forever Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The paper explores how Large Language Models (LLMs) influence collective intelligence in various settings, enhancing collaboration and decision-making while also posing risks like potential misinformation. It emphasizes the need for responsible…
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Hacker News: Scalable watermarking for identifying large language model outputs
Source URL: https://www.nature.com/articles/s41586-024-08025-4 Source: Hacker News Title: Scalable watermarking for identifying large language model outputs Feedly Summary: Comments AI Summary and Description: Yes Summary: This article presents an innovative approach to watermarking large language model (LLM) outputs, providing a scalable solution for identifying AI-generated content. This is particularly relevant for those concerned with AI security…
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Slashdot: Leaked Training Shows Doctors In New York’s Biggest Hospital System Using AI
Source URL: https://science.slashdot.org/story/24/11/03/2145204/leaked-training-shows-doctors-in-new-yorks-biggest-hospital-system-using-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Leaked Training Shows Doctors In New York’s Biggest Hospital System Using AI Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Northwell Health’s launch of an AI tool called AI Hub, which utilizes large language models (LLMs) for various healthcare-related tasks, including patient data management and clinical…
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Hacker News: gptel: a simple LLM client for Emacs
Source URL: https://github.com/karthink/gptel Source: Hacker News Title: gptel: a simple LLM client for Emacs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes “gptel,” a client for interacting with Large Language Models (LLMs) in Emacs. It allows users to engage with different LLMs seamlessly within the Emacs environment, supporting features like contextual…