Suman Chittimuri

Product

[Suman Chittimuri @SChittimuri]

Pro tip:

Write your best content in batches, then schedule throughout the week.

Your audience stays engaged, and you stay sane.

Time to create 💪

[Suman Chittimuri @SChittimuri]

Hey, this is a sample draft, try editing it.

Here's how Typefully helps you build an engaged audience:

📝 Write without distractions
⏰ Schedule for peak engagement
📊 Track what resonates
🚀 Enable auto-engagements
🔄 Cross-post everywhere

[Suman Chittimuri @SChittimuri]

Also try these power features:

✦ Press ⌘J (Mac) or Ctrl+J (Windows) to rewrite with AI
✦ Drag & drop media directly into the editor
✦ Use the top right buttons to share & organize drafts
✦ Check out the Calendar & Analytics pages

[Andrej Karpathy @karpathy]

LLM Knowledge Bases

Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So:

Data ingest:
I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them.

IDE:
I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides).

Q&A:
Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale.

Output:
Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base.

Linting:
I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into.

Extra tools:
I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries.

Further explorations:
As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows.

TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

[Suman Chittimuri @SChittimuri]

@DrLaxmiSudha1 @HYDTP - 2 major accidents in last one month and reason is irresponsible truck drivers. Please help restrict trucks during day time specially school timings.

[Dr Laxmi Sudha @DrLaxmiSudha1]

@revanth_anumula Requesting our honourable Chief Minister sir to make the roads safe for children

[Dr Laxmi Sudha @DrLaxmiSudha1]

@UppalTrPS Sir , Please take appropriate action and make road safe for children.Many schools in the vicinity.

[Dr Laxmi Sudha @DrLaxmiSudha1]

#letsmakeroadssafeforourchildren

[Shanthi @Shanthi31233547]

@DrLaxmiSudha1 Traffic Police Department has to take necessary measurements to prevents these type of devastations. #Children lives matter. @TelanganaDGP, @HYDTP @revanth_anumula

[Suman Chittimuri @SChittimuri]

@DrLaxmiSudha1 @HYDTP - 2 major accidents in last one month and reason is irresponsible truck drivers. Please help restrict trucks during day time specially school timings.

[LetzConnect @letzconnect_LC]

LetzConnect signs $10M deal with Udacity.
In pic Udacity CEO Gabriel Dalporto and LetzConnect CEO Praveen Ganesh

[Teja @tejavinukollu]

My wife (every day): Valentine’s Day is such a fake thing. Why can’t couples love each other every day. I hate Valentine’s Day.

My wife(on Feb 15th every year): Why didn’t you wish me “Happy Valentine’s Day and celebrated yesterday”. I am upset.

Women are complicated.

[Suman Chittimuri @SChittimuri]

Glad to be partnering with @SucSEED_IN

[SucSEED Ventures @SucSEED_IN]

We take pride in defining a active & strongly engaged 42 Sectoral Expert Committee members, with 850+ years of cumulative experience. They help us with investment Curation,Technical Screening & portfolio mentoring with select companies & act as Subject Matter Expert #SucSEED
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[SucSEED Ventures @SucSEED_IN]

We take pride in defining a active & strongly engaged 42 Sectoral Expert Committee members, with 850+ years of cumulative experience. They help us with investment Curation,Technical Screening & portfolio mentoring with select companies & act as Subject Matter Expert #SucSEED
3/n

[SucSEED Ventures @SucSEED_IN]

We have had a #SucSEEDing Year 2022 and we look forward to a rocking 2023. Let's raise a toast to yesterday's accomplishments through this #thread of 35 odd tweets, and build-on tomorrow's brightest prospects.
Please read the thread, comment, share and Lets #SucSEEDtogether
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[Suman Chittimuri @SChittimuri]

@amittagrawwal Awesome feat

[Amit Agrawal @1kUnicorns]

(1/n)
Not a zero to 1 story,
But How to be the No. 1 in your industry story….

#ockypocky #edtech #productexperience #startups #education #experience #hope #dreams #bharat #Team
#Unacademy, #Duolingo, #byjus #joshtalks #brainly #doubtnut

[Suman Chittimuri @SChittimuri]

https://t.co/tRrn7xwOGc

[SucSEED Ventures @SucSEED_IN]

Edmingle is a SaaS platform built for Professional Educators and Educational Institutions to build an Online Teaching Academy white-labelled under their own brand name, website, and mobile application.

#growth #education #edtech #saas #backedbySucSEED

[Suman Chittimuri @SChittimuri]

@UseMultiplier will be at @RunningRemote this week.