My Rube Goldberg RSS Pipeline
Like everybody else on the Internet, I routinely feel overwhelmed by the volume of information I “have” to keep track of.(...)
#ai #automation #feeds #news #python #rss #sqlite #summarization
#Summarization
Niels Geo (@nielsgeo)
Cursor의 요약 기능(Opus)이 채팅을 요약한 후 대화의 맥락을 잃어버리는 문제가 어제부터 발생한다고 보고하며, 해당 문제를 @ryolu_, @mntruell, @cursor_ai에 알리고 있습니다.
Vard (@Vard_Labs)
이 트윗은 AI 활용 실무 사례를 제시합니다. 1) 유튜브 영상 요약 2) 반복적 엑셀 작업 자동화(예: VLOOKUP)로 많은 시간 절약이 가능하다고 언급하여 생산성 향상 사례를 보여줍니다.
Liquid AI ra mắt LFM2-2.6B-Transcript, mô hình AI chép lời họp mã nguồn mở cực nhanh, sánh ngang các gã khổng lồ đóng kín.
Mô hình 2.6B tham số chạy trên thiết bị, sử dụng <3GB RAM, chép 60 phút họp trong 16 giây, chất lượng tóm tắt sánh ngang đám mây, tiết kiệm năng lượng và độ trễ thấp.
#LFM2 #LiquidAI #Transcription #AI #OnDevice #Summarization #ChépLời #TríTuệNhânTạo #AItrênThiếtBị #TómTắt
https://www.reddit.com/r/LocalLLaMA/comments/1q6nm6a/liquid_ai_releases_lfm226btranscript_an/
Hi All Mastodonians,
I sometimes won't checkout mastodon for 3 to 4 days or even a week. How do you all catchup with things. I tried adding some accounts to a news list. But still they are hard to catch up since there are too many posts.
Anyone using any AI or something to summarise the posts? Any clients doing that ? 🤔
#mastodon #feeds #toots #CatchingUp #content #summarization #fediverse #fedi #posts #ai
Một tiện ích mở rộng Chrome mới giúp tóm tắt video, bài viết & PDF chỉ với 1 cú nhấp chuột. Công cụ này tổng hợp thông tin, so sánh nguồn và tạo tài liệu dễ hiểu. Tác giả đang tìm kiếm phản hồi!
#ChromeExtension #AI #Summarization #SideProject #CôngCụAI #TómTắt #TiệnÍchChrome
Máy Tính Học AI Trích Script YouTube Và Kiểm Tra Thực Tế!
Góp công cụ AI tóm tắt video YouTube, trích script, tải phụ đề, check hechos. Création cho người học, nghiên cứu,office. Miễn phí cơ bản, Pro thêm tính năng. #YouTube #AI #Tools #ExtractTranscript #Summarization #Translation
"Evaluating the summarization algorithms of Ask.com, Bing, Google and Yahoo: search snippets-result conformance"
The study found that the abstracting quality of Ask.com, Bing, Google, and Yahoo was 43.4 %, 57.2 %, 51.8 % and 47.8 %, respectively.
Как я сделал автоматический Телеграм канал с помощью Gmail и OpenAI API
Как мы сделали автоматический Телеграм канал который по апи собирает новостные рассылки, суммаризирует и постит в Телеграм.
This is an AI agent tool that uses 3 agent personas to analyze arxiv papers from 3 different aspects which are integrated in an AI article summary. I have not seen this innovation before in AI article summarization tools. For some reason the tool does not seem to work on summarizing very recent arxiv articles. The tool is discussed in the post below:
https://news.ycombinator.com/item?id=40653990
The tool itself is accessed at:
https://www.stack-ai.com/
A Mire jó nagy nyelvi modell mai jelöltje https://kozlonyertelmezo.ai/ #llm #summarization
🤖 Resource-Efficient & Effective Code Summarization
(funny, it's harder to make an AI tell what code does than it is to make one write code...)
https://arxiv.org/abs/2502.03617
#ai #llm #ml #summarization #coding #programming #reverseengineering
📚 **AI-Powered Study Guide Summarization!** 🤖✨
Struggling with **long study materials**? Learn how **Prompt Engineering** can help you craft AI queries that generate **concise, structured, and effective summaries**! 🧠🔍
📖 https://www.promptengineering.ninja/p/prompt-engineering-for-summarizing
#AI #PromptEngineering #StudySmart #EdTech #MachineLearning #ArtificialIntelligence #Summarization #AIinEducation
Video: #PromptFlow tools are an excellent way to provide value to your Prompt Flow with minimal configuration. How can you add to the current tools? In these 2 videos we will add #CosmosDB vector Store, #Summarization, #Translator, #PII and compression tools.
https://youtu.be/nomL8yHW-7U
https://youtu.be/mfS37zACihs
@thetrainingboss @AzureAIFoundry
→ We’re Doing What Searchbots Can’t
https://thewalrus.ca/were-doing-what-searchbots-cant/
“[Summarization tools incorporated into the search engines are] a boon for people seeking quick answers, but a bane for publishers. Disincentivizing curious users from clicking through to a news site for additional information—a trend called zero-click search—sends less traffic to media outlets that invest in the costly #reporting that #AI machines are scraping, strip-mining, and synthesizing.”
eShop infused with AI – a comprehensive intelligent app sample
https://devblogs.microsoft.com/dotnet/e-shop-infused-with-ai-comprehensive-intelligent-dotnet-app-sample/
#microsoft #NET #NET_Aspire #NET_Core #AI #ASP_NET_Core #Blazor #C #Cloud_Native #chatbot #classification #e2e_testing #evaluation_tool #intelligent_apps #semantic_search #sentiment_scoring #summarization #test_data_generation
As AI continues to gift society with condensed information, the question arises: are we becoming dumber or simply more efficient? It's crucial that this technology sparks curiosity rather than breeding complacency. #AI #Society #Summarization
#Summarization: "Australian Government Trial Finds #AI is Much Worse Than Humans at Summarizing" & More AI News Headlines https://ow.ly/fNho50TfUAu
Обзор приложения NotebookLM
Приложение под названием NotebookLM ( https://notebooklm.google.com/ ) было выпущено компанией Google около года назад, и на Хабре было по этому поводу два кратких анонса в прошлом году ( раз , два ). На мой взгляд, оно заслуживает обзора чуть более подробного чем эти краткие сообщения, так что попробую восполнить этот пробел. NotebookLM - это инструмент на основе ИИ, который позволяет относительно быстро, удобно и без лишних телодвижений получить краткий разносторонний обзор (саммари) объемных документов (книг, статей), а также интерактивно взаимодействовать с ними (задавать вопросы, касающиеся их содержания). В моем понимании он представляет собой надстройку над "обычным ИИ-чатом", которому в контекст загружен интересующий пользователя документ. Эта надстройка включает в себя: 1. Набор из нескольких преднастроенных стандартизованных промптов, доступных в один клик и ориентированных на работу с объемными текстами ("Составь мне оглавление", "Составь мне FAQ на основе этого текста", и т.п.) 2. Интерфейсное решение ("карточки-плитки на рабочем столе"), которое по замыслу разработчиков, видимо, должно быть более удобным чем "обычный (линейный) чат" 3. Интерфейс чата, который при взаимодействии с текстом в формате "вопрос-ответ" отображает не только ответы на задаваемые вопросы, но и фрагменты соответствующего исходного текста, а также ссылки на конкретные параграфы полного текста-источника. Посмотрим как это работает
📚🤖 Dive into the world of AI-powered summarization! 🧠 The difference between truly summarizing and just shortening text. Understand how LLMs craft concise yet meaningful summaries, and why it's more than just cutting words. ChatGPT and Claude have there say: 🔍💡
"Understanding LLM Summarization
Let’s delve into the difference between summarizing and simply shortening text, as well as addressing those 'gotcha' critiques you mentioned.
Summarizing vs. Shortening
Summarizing involves capturing the main ideas and key points of a text in a concise manner. It's about distilling the essence of the information while ensuring the core message is preserved. This process requires understanding the text deeply and conveying the main themes and conclusions.
Shortening, on the other hand, is merely reducing the length of the text without necessarily maintaining the original meaning or context. This can lead to loss of important details and nuances, making the shortened text less informative or coherent.
Example for Clarification
Imagine a paragraph discussing the importance of holistic health:
Original Text:
Holistic health is an approach to wellness that considers the whole person, emphasizing physical, mental, emotional, and spiritual well-being. Unlike traditional medicine, which often focuses on treating symptoms, holistic health seeks to identify and address the root causes of health issues. By integrating various therapies such as nutrition, exercise, stress management, and alternative medicine, holistic health aims to promote overall balance and harmony in one's life.
Summarized:
Holistic health focuses on overall well-being, addressing physical, mental, emotional, and spiritual aspects. It aims to find and treat the root causes of health issues through integrated therapies like nutrition, exercise, and stress management.
Shortened:
Holistic health considers physical, mental, and spiritual well-being, unlike traditional medicine.
In the summarized version, the main points and intent of the original text are preserved. The shortened version, however, loses significant details and nuances.
Addressing Critiques
When critics argue that summarization is just shortening, they might overlook the nuanced approach of true summarization, which retains the essence and intent of the original content. To ensure summaries are accurate and meaningful, it's essential to:
- Understand the Content Deeply: Read thoroughly and identify the key points.
- Capture the Main Ideas: Focus on what is most important in the text.
- Preserve the Context: Ensure the summary reflects the original intent and message.
- Be Concise: Convey the core message without unnecessary details.
By maintaining this approach, summaries become effective tools for conveying information clearly and succinctly without losing meaning.
Why the Perception Exists
1. Complexity of Language: Human language is intricate, and summarizing involves not just shortening but understanding and conveying the core message, which can be challenging.
2. Output Limitations: Sometimes, the output might appear as just shortened text rather than a true summary, leading to the belief that LLMs don't fully grasp the content.
3. Variability in Quality: The quality of summaries can vary depending on the complexity of the input text and the context provided.
How LLMs Create Summaries
1. Contextual Understanding: LLMs analyze the context and content of the text to identify key points and main ideas.
2. Pattern Recognition: They recognize patterns and themes within the text, which helps in distilling the essence.
3. Conciseness: LLMs aim to convey the main message concisely while preserving essential details and context.
Demonstration with an Example
Let’s take a passage and show how an LLM can summarize it accurately.
Original Text:
Philosophy and psychology are two distinct fields that often intersect. Philosophy is the study of fundamental questions about existence, knowledge, and ethics, while psychology focuses on understanding the human mind and behavior. Despite their differences, both disciplines offer valuable insights into human nature and can complement each other. For example, philosophical discussions about morality can inform psychological studies on ethical behavior, and psychological findings about cognition can enrich philosophical theories of knowledge.
Summarized by an LLM:
Philosophy and psychology intersect in studying human nature. Philosophy addresses fundamental questions about existence and ethics, while psychology examines the mind and behavior. Both fields complement each other, with philosophical discussions on morality informing psychological studies on ethics and psychological findings enriching philosophical theories.
Explanation
- Key Points: The summary captures the main ideas: the intersection of philosophy and psychology, their focus areas, and how they complement each other.
- Context and Essence: The essence of how the two fields interact and enrich each other is preserved.
- Conciseness: The summary is concise, avoiding unnecessary details while maintaining the core message.
Continuous Improvement
LLMs are continually improving in their ability to summarize effectively. Feedback and advanced training help enhance the accuracy and quality of summaries."
I wonder if these models really are to good at sounding sensible now? Has anyone got the time and energy to go through something like this and fact/sanity chest it? I got it from ChatGPT and asked Claue to fact check it - but honestly, who knows?
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst