@rajan_bajaj Got it, that makes sense. The impact on NIMs should be minimal then.
Really impressed with the app and onboarding experience, by the way. The digital-native approach should help keep branch costs and opex on the lower end.
We filed an RTI request with Bangalore's metro authority asking how many people traveled on the metro and got a file with 1.2M rows of data on ridership. In this project, we show our findings on how Bangalore uses the metro.
You can find your commute here! Link below.
i don’t but as well as getting to walk every day i’m very fortunate that i have a loving healthy family and a job i love (i can only wish the same for everyone else!!) i def haven’t always been this happy walking has helped me through a lot & that’s why i hope to inspire people to walk more, it’s given me a much more positive outlook on life and i want others to feel those same benefits🤍🤍🤍
@BbmpEast
Bellandur Service Road (especially around the Phonepe office) has become a parking space for rickshaws and cabs.
As you can see in the video, these vehicles have taken up half of the road, causing unnecessary traffic. Please fix.
@YTKDIndia@gemsofbabus_
@HariAyapps@krznun Hey Hari, went through the README from your GitHub repo. Quite a comprehensive look at the whole system and the actors present.
This is such an interesting, yet overlooked problem, which can have an impact at the country level. Keep up the work!
will go through the code soon!
The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing.
Its features are slowly crystalizing:
- Natively multimodal text/vision/audio at both input and output.
- Matryoshka-style architecture allowing a dial of capability up and down at test time.
- Reasoning, also with a dial. (system 2)
- Aggressively tool-using.
- On-device finetuning LoRA slots for test-time training, personalization and customization.
- Delegates and double checks just the right parts with the oracles in the cloud if internet is available.
It doesn't know that William the Conqueror's reign ended in September 9 1087, but it vaguely recognizes the name and can look up the date. It can't recite the SHA-256 of empty string as e3b0c442..., but it can calculate it quickly should you really want it.
What LLM personal computing lacks in broad world knowledge and top tier problem-solving capability it will make up in super low interaction latency (especially as multimodal matures), direct / private access to data and state, offline continuity, sovereignty ("not your weights not your brain"). i.e. many of the same reasons we like, use and buy personal computers instead of having thin clients access a cloud via remote desktop or so.