Show HN: I'm challenging your clicking speed with this game I rebuilt https://ift.tt/LXuAWTZ

Show HN: I'm challenging your clicking speed with this game I rebuilt https://ift.tt/FSHLNql December 16, 2022 at 02:15AM

महंत बोले- पठान फिल्म लगे तो थिएटर फूंक दो:विवाद पर शाहरुख का बयान आया; एसिड अटैक केस में फ्लिपकार्ट मुश्किल में

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Show HN: Natural language Twitter search using Codex https://ift.tt/z5oYQ74

Show HN: Natural language Twitter search using Codex We built a structured search engine for Twitter called Bird SQL, available at https://ift.tt/HQZOch0 . Our search interface uses OpenAI Codex to translate natural language to SQL. Our backend then verifies the SQL, executes it, and displays the results on the web app. This makes large structured datasets like a scrape of Twitter easy for anyone to explore. As background, while working on text-to-SQL as a general problem, we came to believe one of its most powerful applications is as a search tool because: - SQL is hard to write by hand and prone to errors - It allows you to iterate quickly if you’re exploring a new dataset - A lot of contextual information that you’d normally have to internalize (e.g. your data’s schema) can be automatically generated and offloaded to the language model Using large language models (LLMs) like Codex to write the SQL for you means you don’t have to worry about the nitty gritty language details, but still benefit from the power of a language like SQL. Also, after seeing the results of the query, you can inspect (and if necessary, change) the SQL. The lack of this sort of explainability of the query result is one of the more notorious challenges of returning the output of an LLM directly to the user. Additionally, using LLMs in this way makes these kinds of queries over structured data accessible to people who know little or no SQL. While Bird SQL shares significant infrastructure with our more general LLM-powered search engine over unstructured data (Ask Perplexity - https://perplexity.ai[1] ), the two approaches and their respective challenges are quite different. For example, the type of models are different (GPT3.5 vs Codex), obviously the model prompts have different structure, and how to verify model output when its text vs when it's code is different. We are currently exploring ways to combine the two approaches, such as using the results of retrieving information from a structured source (as in Bird SQL) as one of the inputs for the LLM to interpret or summarize (as in Ask Perplexity). We would love to hear your questions, suggestions, and feedback! [1] https://ift.tt/Xx0kSFp https://ift.tt/TKuZmNr December 16, 2022 at 03:42AM

भास्कर अपडेट्स:महाराष्ट्र के नवी मुंबई में दो कारों में टक्कर, पांच लोग घायल

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संयुक्त राष्ट्र में महात्मा गांधी की प्रतिमा पर मोदी बोले:ये देखकर हर भारतीय को गर्व हो रहा

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Show HN: Readwise Reader, an all-in-one reading app https://ift.tt/mMsJUPd

Show HN: Readwise Reader, an all-in-one reading app Hey HN, cofounder of Readwise here. We've been working on this cross-platform reader app for about 2 years, excited to finally share it in public beta. Probably the most notable thing that makes Reader unique is that it supports almost any content type you could want to save/read/highlight: * web pages * emails/newsletters * PDFs * ePubs * twitter threads * youtube videos (with transcripts) * RSS feeds With all of your knowledge content in one place, we built powerful reading and highlighting, as well as a bunch of novel triage/organization features, so you can actually consume & stay on top of that content! There are also a lot of advanced features too, such as text-to-speech, GPT3 questions/summaries, super powerful highlighting (that includes markup and images), complex filtering/search (with our own query language), sleek mobile triage UI, keyboard shortcuts for reading/everything, integrations with note-taking apps, a browser extension for both saving pages and highlighting them, and much more. If anyone's interested in more product details, as well as our business model, etc, we wrote a detailed launch post: https://ift.tt/7l4ctL2... Predicting a common question: Reader is part of the Readwise subscription pricing right now in beta -- there's a 30 day free trial and then it's paid at ~$8usd/month. We also promise to not raise this price for existing subscribers. Reader is also fairly technically interesting -- our iOS, Android and webapp all work fully offline and sync your reading data/progress with eachother. Our search on web is built with wasm sqlite. We have a fairly intense pipeline for cleaning web articles (removing ads/styling). We share lot of modules around syncing/highlighting across all platforms, etc... Happy to answer any questions :) https://ift.tt/r9fnXhm December 16, 2022 at 03:14AM

हरियाणा के मंत्रियों की 2 घंटे पार्टी ऑफिस में ड्यूटी:CM को खटकी जनता-वर्करों से दूरी; खुद तैयार करेंगे शेड्यूल, दिन अलॉट होंगे

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Show HN: AI Based Fashion Search Engine in Computer Vision Technology https://ift.tt/bC3l0o1

Show HN: AI Based Fashion Search Engine in Computer Vision Technology Only Desktop Version Available. Mobile with new design is coming soon. We Appreciate Your Feedback. https://www.yoit.style December 15, 2022 at 07:13AM

तवांग के करीब चीन ने तैनात किए फाइटर जेट्स:LAC के पास भारतीय वायुसेना का युद्धाभ्यास; बिहार में शराब हुई जानलेवा

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महाराष्ट्र में पड़ोसी ने की महिला की हत्या:शराब के लिए उधार पैसे देने से किया था इनकार

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Show HN: I built a feed of engineering blogs from top tech companies https://ift.tt/m3RMwPB

Show HN: I built a feed of engineering blogs from top tech companies https://ift.tt/3VrcvFm December 15, 2022 at 03:47AM

Show HN: Automated Insights from Your Google Analytics https://ift.tt/btCup0z

Show HN: Automated Insights from Your Google Analytics https://ift.tt/1bkWdPI December 15, 2022 at 01:34AM

Show HN: Good Tech Things, a collection of cloud and software engineering comics https://ift.tt/VuR6Cnb

Show HN: Good Tech Things, a collection of cloud and software engineering comics https://ift.tt/zXwZxBr December 15, 2022 at 01:38AM

Show HN: Vimium Everywhere https://ift.tt/MsZlqVx

Show HN: Vimium Everywhere https://ift.tt/VStE7vo December 14, 2022 at 06:22AM

अरुणाचल में एयरफोर्स अलर्ट:LAC पर झड़प के बाद गश्त बढ़ाई; मोदी की हत्या वाले बयान पर कांग्रेस नेता को जेल

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Show HN: An open-source UI Library with automatic routing and SuperComponents https://ift.tt/UCiGMhv

Show HN: An open-source UI Library with automatic routing and SuperComponents https://ift.tt/yjVHrhA December 14, 2022 at 03:45AM

भाजपा का मिशन कर्नाटक:जेडीएस से गठबंधन की तैयारी में, 2023 में होने हैं विधानसभा चुनाव

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Show HN: XP1 – A GPT-based Assistant with access to the browser Tabs https://ift.tt/4EFbkwS

Show HN: XP1 – A GPT-based Assistant with access to the browser Tabs XP1 is an assistant based on GPT with access to your browser tabs content. It is geared (prompted) towards productivity and can be used to help you with your daily tasks (answering emails, summarizing, extracting structured data from unstructured text, ...) https://xp1.dust.tt December 13, 2022 at 09:27PM

गैंगस्टर पकड़ने को हरियाणा पुलिस की थ्री-लेयर प्लानिंग:एक भी गोली चलाई या गैंगस्टरों की पोस्ट पर लाइक-कमेंट किया तो रडार पर आएंगे युवा

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अरुणाचल में भिड़े भारत-चीन के सैनिक:झड़प में भारत के 6 जवान घायल; कांग्रेस नेता बोले- मोदी की हत्या को तैयार रहो

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