Asim Shrestha@asimdotshrestha
Cofounder, @ReworkdAI YC S23. Working on AI agents asim-shrestha.com San Francisco Joined December 2016-
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2/ Reworkd AI agents for navigating the web and scraping data Introducing: Tarsier— an open source framework that combines web scraping and OCR to extract text from web pages for the consumption of LLMs @asimdotshrestha @khoomeik @ReworkdAI
After building LLM dev tools for around six months, we've decided to pivot - today, we're releasing the first version of @redotvideo, a typescript framework for programmatic video editing. You can think of it as an open-source alternative to Remotion. 1/n
After building LLM dev tools for around six months, we've decided to pivot - today, we're releasing the first version of @redotvideo, a typescript framework for programmatic video editing. You can think of it as an open-source alternative to Remotion. 1/n
Shouldn't LLM-based Agents 🤖 improve as they complete tasks in their environment 📈? 📢 Announcing LlamaGym🦙💪! Fine-tune LLM agents with online reinforcement learning in just a few lines of code. 🧵Technical details, GitHub, experiments, and more ⬇️
Why is ChatGPT4 taking like 5 minutes for a basic completion
New (2h13m 😅) lecture: "Let's build the GPT Tokenizer" Tokenizers are a completely separate stage of the LLM pipeline: they have their own training set, training algorithm (Byte Pair Encoding), and after training implement two functions: encode() from strings to tokens, and… x.com/i/web/status/1…
Algorithms like MEMIT enable us to inject facts into an LLM by editing its parameters 💉🧠. Could we use fact editing to crowdsource a continually updated neural knowledge base—with no RAG or external documents? Announcing WikiLLM! Tomorrow's [experimental] free encyclopedia 🧵
Hi everyone yes, I left OpenAI yesterday. First of all nothing "happened" and it’s not a result of any particular event, issue or drama (but please keep the conspiracy theories coming as they are highly entertaining :)). Actually, being at OpenAI over the last ~year has been… x.com/i/web/status/1…
you’re supposed to pour your life force into something and it’s not supposed to always be easy
the homies absolutely COOKED this weekend at a hackathon we built a working prototype of @Humane's AI pin/@AviSchiffmann's Tab in 24 hours that you can strap to your chest and talk to
Finding high quality data 📚 is one of the biggest issues in LLM training today. HoleFill🍩 is a simple data curation method that leverages user chatlogs to find online data sources that “fill” the knowledge holes in an LLM. You can try HoleFill🍩 in the interactive colab👇🧵
Had a blast speaking at the @github office last night for the Microsoft YC kickoff Shoutout @bwinterrose for inviting us out 🔥
Tried to ask @ChatGPTapp for some help with S3 connection issues Presumably due to prompting, it assumes there's an issue with DallE even though the error string is in the user message
How To Be Successful (At Your Career, Twitter Edition)
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@AryanKolapkar @AlexReibman @asimdotshrestha @ReworkdAI They underperform Tarsier + GPT-4 by anywhere from 10% to 40% on our web task evals.
@BasedBeffJezos should be mini-pamphletized, translated, and carpet bombed by drones over all major cities in the world
Absolutely monumental amount of effort to close this milestone. Over 100k lines changed this release.
We invited 200+ engineers to take an exclusive look at the latest advancements in AI agent ecosystem If you’re not following this space, your job is probably going to be replaced by AI. Here’s what we saw at the @AgentOpsAI x @Relplicate Agent Meetup (🧵):
@AlexReibman @asimdotshrestha @ReworkdAI thanks @AlexReibman 🫡 check out Tarsier here and drop us a ⭐️🙏 github.com/reworkd/tarsier
2/ Reworkd AI agents for navigating the web and scraping data Introducing: Tarsier— an open source framework that combines web scraping and OCR to extract text from web pages for the consumption of LLMs @asimdotshrestha @khoomeik @ReworkdAI
GO DIRECT: THE MANIFESTO I. TRADITIONAL PR IS DEAD. For too long, founders have yielded control over their narratives to media and middlemen. Before the internet, it was by necessity. The way to reach large audiences was through the media, and the way to get media coverage was… x.com/i/web/status/1…
@SrijanSubedii told me that he gets addicted to Reddit voiceover Youtube Shorts, so I decided to automate creating them with @redotvideo and @elevenlabsio. Just provide a post link, and a video like the one below will be generated automatically. Code: github.com/redotvideo/red…
How to become the best company in your YC batch: 1. Build something people want (duh) 2. prevent your batchmates from building something people want (fry their COO’s brain with Youtube Shorts)
How to become the best company in your YC batch: 1. Build something people want (duh) 2. prevent your batchmates from building something people want (fry their COO’s brain with Youtube Shorts)
After building LLM dev tools for around six months, we've decided to pivot - today, we're releasing the first version of @redotvideo, a typescript framework for programmatic video editing. You can think of it as an open-source alternative to Remotion. 1/n
After building LLM dev tools for around six months, we've decided to pivot - today, we're releasing the first version of @redotvideo, a typescript framework for programmatic video editing. You can think of it as an open-source alternative to Remotion. 1/n
> founder pitches me new agent > ask founder if their agent actually works for real projects > founder doesn't understand > pull out diagram explaining what real project requirements are > founder laughs and says "it's a good agent sir" > try agent > it only works on demos
surprise late night guest @MistralAI hackathon 📈🚀
s/o to the vc who once told me "we'd be interested investing if you get sequoia or someone like that on board" he was entirely serious. i had just dropped out of college. said "if that happens why would i need you?" he's no longer a vc
Say your training compute budget = ~1.5e13 FLOPs If your dataset has a gzip compressibility ratio of 0.14, you should *max out your param count* and skimp on dataset size But if your dataset is less compressible (gzip=0.61), *keep your model small* and train it on a ton of data
Say your training compute budget = ~1.5e13 FLOPs If your dataset has a gzip compressibility ratio of 0.14, you should *max out your param count* and skimp on dataset size But if your dataset is less compressible (gzip=0.61), *keep your model small* and train it on a ton of data https://t.co/hUwtTVvLqM
Follow along the @__tinygrad__ saga, who are (very publicly!) trying to build your commodity ~petaflop compute node. tinybox specs: tinygrad.org the youtube videos form @realGeorgeHotz are actually quite great and entertaining, featuring the signature blend of… x.com/i/web/status/1…
Follow along the @__tinygrad__ saga, who are (very publicly!) trying to build your commodity ~petaflop compute node. tinybox specs: tinygrad.org the youtube videos form @realGeorgeHotz are actually quite great and entertaining, featuring the signature blend of… x.com/i/web/status/1…
impressive
@khoomeik This usually happens when chatgpt is down
📣📣Hello world, we are re-introducing Helicone! P.S. we spent a long time on the video, so sound on, pretty please? 🥺 Let us know what you think! Sign up for free → helicone.ai Get in touch → helicone.ai/contact