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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/tomvoelker"><title>BibSonomy bookmarks for /user/tomvoelker</title><link>https://www.bibsonomy.org/user/tomvoelker</link><description>BibSonomy RSS Feed for /user/tomvoelker</description><items><rdf:Seq><rdf:li rdf:resource="https://github.com/assafelovic/gpt-researcher"/><rdf:li rdf:resource="https://ig.ft.com/generative-ai/"/><rdf:li rdf:resource="https://sigir.org/chiir2023/proceedings/"/><rdf:li rdf:resource="https://weaviate.io/blog/ranking-models-for-better-search"/><rdf:li rdf:resource="https://gpt-index.readthedocs.io/en/latest/api_reference/query/query_engines/sub_question_query_engine.html"/><rdf:li rdf:resource="https://arxiv.org/abs/2005.11401"/><rdf:li rdf:resource="https://weaviate.io/blog/llms-and-search"/><rdf:li rdf:resource="https://abcnews.go.com/Technology/openai-ceo-sam-altman-ai-reshape-society-acknowledges/story?id=97897122"/><rdf:li rdf:resource="https://github.com/artisticat1/obsidian-latex-suite/blob/main/src/default_snippets.ts"/><rdf:li rdf:resource="https://portfolio.ckrobinson.net/portfolio/mcmd"/><rdf:li rdf:resource="https://chatgptsplitter.com/"/><rdf:li rdf:resource="https://bitbucket.org/bibsonomy/bibsonomy/wiki/documentation/api/REST%20API"/><rdf:li rdf:resource="https://miro.com/de/"/></rdf:Seq></items></channel><item rdf:about="https://github.com/assafelovic/gpt-researcher"><title>GPT-Researcher GitHub Repository</title><description>This GitHub repository, titled &#039;GPT-Researcher&#039; by Assafelovic, contains resources and information related to AI and machine learning, focusing on GPT models.</description><link>https://github.com/assafelovic/gpt-researcher</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-11-26T23:05:12+01:00</dc:date><dc:subject>GitHub GPT-Researcher AI Machine-Learning posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This GitHub repository, titled &amp;#039;GPT-Researcher&amp;#039; by Assafelovic, contains resources and information related to AI and machine learning, focusing on GPT models.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/GitHub"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/GPT-Researcher"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/AI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Machine-Learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/posted_with_chatgpt"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ig.ft.com/generative-ai/"><title>How Transformers Work: A Beautiful Visualization by Financial Times</title><description>A captivating visualization by Financial Times that provides an in-depth understanding of how transformers work in the realm of Generative AI. It offers insights into the mechanics and intricacies of transformer architectures, showcasing the beauty of today&#039;s Large Language Models (LLMs).</description><link>https://ig.ft.com/generative-ai/</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-10-06T16:30:14+02:00</dc:date><dc:subject>AI transformers machine-learning edited_with_chatgpt financial-times technology visualization generative-ai posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A captivating visualization by Financial Times that provides an in-depth understanding of how transformers work in the realm of Generative AI. It offers insights into the mechanics and intricacies of transformer architectures, showcasing the beauty of today&amp;#039;s Large Language Models (LLMs).&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/AI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/transformers"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/edited_with_chatgpt"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/financial-times"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/technology"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/visualization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/generative-ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/posted_with_chatgpt"/></rdf:Bag></taxo:topics></item><item rdf:about="https://sigir.org/chiir2023/proceedings/"><title>CHIIR 2023 Proceedings</title><description>Official proceedings page for the CHIIR 2023 conference.</description><link>https://sigir.org/chiir2023/proceedings/</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-09-18T15:28:40+02:00</dc:date><dc:subject>CHIIR_2023 plugin_research posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Official proceedings page for the CHIIR 2023 conference.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/CHIIR_2023"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/plugin_research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/posted_with_chatgpt"/></rdf:Bag></taxo:topics></item><item rdf:about="https://weaviate.io/blog/ranking-models-for-better-search"><title>Ranking Models for Better Search</title><description>An article discussing the importance of ranking models in search engines and how Weaviate, an open-source knowledge graph, has introduced a new feature allowing users to define their ranking models.</description><link>https://weaviate.io/blog/ranking-models-for-better-search</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-09-13T23:42:49+02:00</dc:date><dc:subject>weaviate ranking-models search related_to:b3e8c9e2c487b0c6 posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;An article discussing the importance of ranking models in search engines and how Weaviate, an open-source knowledge graph, has introduced a new feature allowing users to define their ranking models.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/weaviate"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ranking-models"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/search"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/related_to:b3e8c9e2c487b0c6"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/posted_with_chatgpt"/></rdf:Bag></taxo:topics></item><item rdf:about="https://gpt-index.readthedocs.io/en/latest/api_reference/query/query_engines/sub_question_query_engine.html"><title>Sub Question Query Engine Documentation</title><description>The documentation details the SubQuestionQueryEngine in the LlamaIndex library. 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The responses from the sub-questions are synthesized to produce the final response.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/documentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/query-engine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/llamaindex"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/related_to:b3e9c2b92748097978ba7148601e28d4"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/posted_with_chatgpt"/></rdf:Bag></taxo:topics></item><item rdf:about="https://arxiv.org/abs/2005.11401"><title>Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks</title><description>The paper discusses the capabilities of large pre-trained language models and their limitations in accessing and manipulating knowledge. The authors introduce retrieval-augmented generation (RAG) models that combine pre-trained parametric and non-parametric memory for language generation. The study explores the effectiveness of RAG models in various NLP tasks and compares them with other architectures.</description><link>https://arxiv.org/abs/2005.11401</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-09-13T23:34:40+02:00</dc:date><dc:subject>arxiv retrieval-augmented NLP related_to:b3e9c2b92748097978ba7148601e28d4 posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The paper discusses the capabilities of large pre-trained language models and their limitations in accessing and manipulating knowledge. The authors introduce retrieval-augmented generation (RAG) models that combine pre-trained parametric and non-parametric memory for language generation. 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Meaning, LLMs can only generate text based purely on what its “seen”, rather than pull in new information after the training cut-off. Sam Altman stated “the right way to think of the models that we create is a reasoning engine, not a fact database.” Essentially, we should only use the language model for its reasoning ability, not for the knowledge it has.</description><link>https://abcnews.go.com/Technology/openai-ceo-sam-altman-ai-reshape-society-acknowledges/story?id=97897122</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-09-13T23:32:29+02:00</dc:date><dc:subject>OpenAI Sam_Altman AI Interview posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Without RAG, an LLM is only as smart as the data it was trained on. Meaning, LLMs can only generate text based purely on what its “seen”, rather than pull in new information after the training cut-off. 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It was created by Cameron Robinson to fill a gap in Obsidian&#039;s functionality, and it has been released as an official plugin for Obsidian.</description><link>https://portfolio.ckrobinson.net/portfolio/mcmd</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-07-14T15:43:31+02:00</dc:date><dc:subject>Portfolio MCMD ObsidianMD Plugin posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Multi-Column Markdown is a document formatting plugin for the ObsidianMD note taking application. It was created by Cameron Robinson to fill a gap in Obsidian&amp;#039;s functionality, and it has been released as an official plugin for Obsidian.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Portfolio"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/MCMD"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ObsidianMD"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Plugin"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/posted_with_chatgpt"/></rdf:Bag></taxo:topics></item><item rdf:about="https://chatgptsplitter.com/"><title>ChatGPT Splitter</title><description>A tool for splitting ChatGPT&#039;s responses.</description><link>https://chatgptsplitter.com/</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-07-14T13:56:49+02:00</dc:date><dc:subject>ChatGPT Splitter posted_with_chatgpt </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A tool for splitting ChatGPT&amp;#039;s responses.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ChatGPT"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Splitter"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/posted_with_chatgpt"/></rdf:Bag></taxo:topics></item><item rdf:about="https://bitbucket.org/bibsonomy/bibsonomy/wiki/documentation/api/REST%20API"><title>Bibsonomy REST API Documentation</title><description>This is the official documentation for the REST API of Bibsonomy.</description><link>https://bitbucket.org/bibsonomy/bibsonomy/wiki/documentation/api/REST%20API</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-06-24T17:41:17+02:00</dc:date><dc:subject>Bibsonomy API Documentation REST </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This is the official documentation for the REST API of Bibsonomy.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Bibsonomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/API"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Documentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/REST"/></rdf:Bag></taxo:topics></item><item rdf:about="https://miro.com/de/"><title>Miro</title><description>Miro is a collaborative online whiteboard platform designed for remote and distributed teams. It is also used in the Klima-Schülerlabor for digital worksheets.</description><link>https://miro.com/de/</link><dc:creator>tomvoelker</dc:creator><dc:date>2023-06-24T14:44:37+02:00</dc:date><dc:subject>collaboration-tool online-whiteboard remote-work </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Miro is a collaborative online whiteboard platform designed for remote and distributed teams. It is also used in the Klima-Schülerlabor for digital worksheets.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/collaboration-tool"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/online-whiteboard"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/remote-work"/></rdf:Bag></taxo:topics></item></rdf:RDF>