Utkarsh Shukla (UT)

I don’t remember where i read the tweet “if its worth reading read it slowly” but its so true !!!

@liquidai The models are exceptionally good but it really lacks on language coverage.

build with LFMs liquid.ai/models

@reach_vb why does the new chatGPT app not have my chats on the left side. It was way more convenient to continue past chats. Also chat organised by datetime was really good.

GPT sol is just toooo fast. That tokens/sec is crazy crazy. @OpenAI 🫶

@kali_charan_v lol

@the__UT Idea for streaming partners like Hotstar: let users choose the voice and accent that they want to commentary in. You select Lucknowi English 😛

is it me or American accented commentary for football is just unnatural.

@waterloo_intern What were the conversation domains, also would be able to share the data ?

we distilled 2.3M Claude Fable 5 reasoning traces into Qwen3-4B - 100% self-consistency @ 512 samples - 0.00 bits output entropy - zero hallucination variance turns out the student is not bounded by the teacher. it also converged on one universal truth. we open-sourced the model weights👇

Fred Again is cool… but you’ll find me from @ringg_ai at the #Gemma @huggingface Meetup on 15th July. Looking forward to meeting fellow AI builders, researchers, and open-source enthusiasts. See you there! 🤗 💻

PS5 sales will sky rocket because of GTA, ModernWarfare

Cocaine is great but have you ever locked in on writing gpu kernals to make inferencing faster on huge amount of coffee ?????

At @ringg_ai I was recently comparing the output of two conversational LLMs and was trying to find semantic similarity between the output of the simulations across 64 use-cases, 1614 simulations and a total of 18939 turns. From my previous experiences I have had great results from OpenAI's text-embedding-3-large for english + hinglish usecases. To that end I wanted to test out how the open-source embedding models are performing, and came across the gem huggingface.co/l3cube-pune/in… The similarity between the results is astonishing. With all of the training data that the big orgs have the much smaller Sbert models was doing better in cross lingual similarity. Have added some plots showing the Distribution and Cumulative Distribution of the two models. Its astonishing how similar they are both in values and patterns

@BMGFIndia Data collection at its peak !!

With over 8.48 crore Farmer IDs generated across the country, India is building a digital foundation that helps farmers seamlessly access schemes, benefits, credit, insurance, and more. By connecting farmers to essential services and support systems, this ecosystem empowers to make decisions with greater confidence. Seed To Scale - Innovation In Action

@deepakmodidev @ringg_ai Great !!!!!!!

weekend project: built Svaasthi today. an AI voice agent who calls your parents at medicine time, asks if they've taken their dose, and alerts you if they miss it. family-first medicine reminder web app. powered by @ringg_ai. github: github.com/deepakmodidev/…

The Nuremberg (2025) is such a beautiful piece of cinema, love it !

Loss of the model goes up and down, up and down, up and down. Loss of the model goes up and down all through the @wandb town.

@liquidai it would be great if in the next iteration you folks add hindi in the pre-training phase atleast in the extraction models. The smaller models are exceptionally good and fast but just lag a lot when it comes to hindi.

It amazes me that i can train half a billion model on my macbook great work @UnslothAI also it is using apple silicon .

I so want Arsenal to win #UCLFinal

Google is fighting every final boss at once: OpenAI & Anthropic in models, Nvidia in chips, AWS & Microsoft in cloud, Meta in ads, Tesla in self-driving, Apple in phones and OS. At $4.6T, it feels weirdly undervalued.

@RomanSaini @ringg_ai

What are some Top AI companies being built out of Bangalore? Please tag them. Would love to meet some iconic founders who are doing cutting edge work in AI.

@alphacep We have recently launched ours at @ringg_ai try it out at ringg.ai/dashboard/stt

Some our recent work on model training, nothing very deep but still important for the users alphacephei.com/nsh/2026/05/24…