People, as I had mentioned before, Swecha team is planning a huge data collection program as an Internship. We are starting with the Telugu language. After the success of the Telugu ASR project, the goal is to now scale this up. We are calling it the Shatasahasra yagnam, loosely translated to 1 lakh mission. 1 lakh interns, will go to different corners of the two Telugu states and collect more than 1 billion sentences of Telugu. We have already built a data collection app. Use the power of students to collect data for AI responsibly.
Goal is to create following datasets:
1. LLM
2. ASR
3. TTS
4. Multimodal
5. Video captioning
6. Handwriting.
If you have any ideas for any specific datasets, please suggest. Would like collate before we start this yagnam so that we don't duplicate effort.
This is a huge effort supported by IIIT-H, Meta, Ozonetel, Swecha and others. We would need all the help we can get. So please share this in your network. Ask student interns to sign up. If you want to help out in any specific way, please DM me. All the data will be open sourced. Students can sign up at https://t.co/xqL7J3vGE9
Has anyone heavily used in engineering context any of Roam Research/Obsidian/LogSeq heavily?
Have you found the "graph" thing useful & if yes what makes it so useful (Some practical instances will be super helpful)
Tech journalism is actually seriously bad in India.
Like this long ass headline and byline, and no mention of the fact that she created Kafka - a technology on which literally every realtime tech platform runs today (used by every large tech company under the sun)
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@UPI_NPCI is in the news for its scale. With that in mind, I caught up with @SateeshPalagiri about scale. This is a great example of what it can take to for #BuildForBharat.
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