Sunday, December 18, 2022

अर्जेंटीना तीसरी बार फुटबॉल वर्ल्डकप चैंपियन:36 साल बाद जीता खिताब; तवांग झड़प के बाद पहली बार नॉर्थ-ईस्ट पहुंचे मोदी


via देश | दैनिक भास्कर https://ift.tt/9qBht1n

Show HN: Log in to Mastodon with your Twitter account https://ift.tt/NaJFXHs

Show HN: Log in to Mastodon with your Twitter account This is an idea I've had for a while. Given recent events, I decided to finally implement it and see what happens. I assume if it gets any traction it will be banned. The bigger picture here is that Twitter's network of users and follow lists is potentially reverse-engineerable. Why not take that network graph and implement it in the Fediverse? https://tweedle.social December 19, 2022 at 05:08AM

भास्कर अपडेट्स:पूर्वोत्तर पाकिस्तान में आतंकियों से झड़प में दो सुरक्षाकर्मी घायल


via देश | दैनिक भास्कर https://ift.tt/6qw3vhW

Saturday, December 17, 2022

सालभर में हवाई किराया 40%, होटल खर्च 30% बढ़ा:ट्रैवल 50% महंगा हुआ लेकिन क्रिसमस और न्यू-ईयर की बुकिंग 55% बढ़ी


via देश | दैनिक भास्कर https://ift.tt/365AjL1

Show HN: VR Development Resource https://ift.tt/rCw0VWp

Show HN: VR Development Resource https://ift.tt/T5womdn December 18, 2022 at 02:19AM

Show HN: 4-7-8 Breathing – BreathWithMe.io https://ift.tt/vlJ9inh

Show HN: 4-7-8 Breathing – BreathWithMe.io Hello, Let's take a few deep breaths together. https://ift.tt/yIRnkjs December 18, 2022 at 03:44AM

पिता की संपत्ति में बेटियों का हक इस्लाम के खिलाफ:केरल सरकार की नई योजना पर भड़के मौलवी, बोले- महिलाएं सिर्फ एक-चौथाई प्रॉपर्टी की हकदार


via देश | दैनिक भास्कर https://ift.tt/BcTYO3L

Show HN: Speleomorph, an Exploration Puzzle https://ift.tt/VOCMEXm

Show HN: Speleomorph, an Exploration Puzzle https://ift.tt/ajlwGY2 December 18, 2022 at 02:19AM

Show HN: Factual AI Q&A – Answers based on Huberman Lab transcripts https://ift.tt/09Z7SUJ

Show HN: Factual AI Q&A – Answers based on Huberman Lab transcripts This is a quick prototype I built for semantic search and factual question answering using embeddings and GPT-3. It tries to solve the LLM hallucination issue by guiding it only to answer questions from the given context instead of making things up. If you ask something not covered in an episode, it should say that it doesn't know rather than providing a plausible, but potentially incorrect response. It uses Whisper to transcribe, text-embedding-ada-002 to embed, Pinecone.io to search, and text-davinci-003 to generate the answer. More examples and explanations here: https://twitter.com/rileytomasek/status/1603854647575384067 https://ift.tt/zfIq1aG December 17, 2022 at 11:35PM

Friday, December 16, 2022

पठान विवाद में स्वरा की एंट्री:कहा- नेताओं की नजर एक्ट्रेसेस के कपड़ों पर; नीतीश बोले- दारू पीकर मरने वालों को मुआवजा नहीं


via देश | दैनिक भास्कर https://ift.tt/zOL5pTd

पठान विवाद में स्वरा की एंट्री:कहा- नेताओं की नजर एक्ट्रेसेस के कपड़ों पर; राहुल गांधी बोले- जय सियाराम, नॉट जय श्रीराम


via देश | दैनिक भास्कर https://ift.tt/1CcSFVJ

CJI ने बिजली चोरी के दोषी को रिहा किया:बोले- कोई केस छोटा नहीं; रिजिजू ने कहा था- सुप्रीम कोर्ट छोटे नहीं, संवैधानिक मामले सुने


via देश | दैनिक भास्कर https://ift.tt/3VnuL2Z

Show HN: I made a Slack bot that qualifies your sign-ups using GPT-3 https://ift.tt/dwDf0bJ

Show HN: I made a Slack bot that qualifies your sign-ups using GPT-3 OP here, this was super fun to build. It all started from playing around with Nat Friedman's GPT browser https://twitter.com/0xferruccio/status/1599014988693180417 Then after having this running for our product for a couple of days or so we decided to give 10 customers access and they loved it! So expanding access now feels great :) https://ift.tt/b5x2UCi December 15, 2022 at 09:00PM

आंध्र में TDP-YSR कांग्रेस कार्यकर्ताओं के बीच हिंसक झड़प:पालनाडु में वर्कर्स ने एक-दूसरे पर पत्थर फेंके, आगजनी की; धारा 144 लागू


via देश | दैनिक भास्कर https://ift.tt/dl1wv6U

भास्कर अपडेट्स:CBI ने मेहुल चोकसी के खिलाफ 6700 करोड़ रुपए के फ्रॉड केस में 3 नई FIR दर्ज कीं


via देश | दैनिक भास्कर https://ift.tt/loybWGu

Thursday, December 15, 2022

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


via देश | दैनिक भास्कर https://ift.tt/IoVAWUN

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


via देश | दैनिक भास्कर https://ift.tt/u03Sjyc

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


via देश | दैनिक भास्कर https://ift.tt/n4mgJLP

Show HN: Kstack – Skill pack for monitoring/troubleshooting K8s in Claude Code https://ift.tt/GQauRgE

Show HN: Kstack – Skill pack for monitoring/troubleshooting K8s in Claude Code Hi All, Recently I've been using Claude Code a lot for de...