Hassan @nutlope
Developer Relations @togethercompute. Building AI apps like @roomGPT and https://t.co/3NFbnMUHJP. Tweeting about AI, web dev, and my side projects. github.com/nutlope New York Joined May 2015-
Tweets9K
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My 2024 Tech Stack: ◆ Language: @typescript ◆ Framework: @nextjs ◆ DB: @neondatabase / @prisma ◆ Styling: @tailwindcss ◆ AI API: @togethercompute ◆ Hosting & analytics: @vercel ◆ Auth: @ClerkDev
Excited to share we raised $106M at a $1.25B valuation! Officially unicorn status. We're helping teams all over the world build gen AI applications – from training OSS models to finetuning them to providing them through an API. Also, we're hiring!
Excited to share we raised $106M at a $1.25B valuation! Officially unicorn status. We're helping teams all over the world build gen AI applications – from training OSS models to finetuning them to providing them through an API. Also, we're hiring!
New post! Learn how I built notesGPT, a full-stack OSS AI app with 35k visitors. I discuss: ◆ The architecture & tech stack ◆ Calling AI models through Together AI ◆ Using functions & storage through Convex dev.to/nutlope/how-i-…
Hit 7,000 users for my side project in 1 week! ◆ 35,000 total visitors ◆ 15,000 tasks generated ◆ 7,000 voice notes recorded ◆ 1,100 GitHub stars & 100s of clones Blog post + video coming this week explaining exactly how I built it!
24h update after launching NotesGPT yesterday: ◆ 6,500 unique visitors ◆ 1,400 registered users ◆ 1,000 voice notes recorded ◆ 400 GitHub stars Also interesting stat: almost 50% of users have used it from their phones! Shows how important mobile responsiveness is.
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3K Followers 807 Following Postdoc at CMU researching LLM agents and AI alignmentDo not tie your identity as a professional to a particular language, technology or framework. You will outlast all those things many times over.
Developers over 40. What advice would you give to developers just starting their career?
W stack
My 2024 Tech Stack: ◆ Language: @typescript ◆ Framework: @nextjs ◆ DB: @neondatabase / @prisma ◆ Styling: @tailwindcss ◆ AI API: @togethercompute ◆ Hosting & analytics: @vercel ◆ Auth: @ClerkDev
@nutlope @typescript @nextjs @neondatabase @prisma @tailwindcss @togethercompute @vercel @ClerkDev Great stack, has all my favs!
What would keep/change?
My 2024 Tech Stack: ◆ Language: @typescript ◆ Framework: @nextjs ◆ DB: @neondatabase / @prisma ◆ Styling: @tailwindcss ◆ AI API: @togethercompute ◆ Hosting & analytics: @vercel ◆ Auth: @ClerkDev
@nutlope @typescript @nextjs @neondatabase @prisma @tailwindcss @togethercompute @vercel @ClerkDev we gotta get you using @AutoblocksAI for AI Evals bro!
@nutlope @typescript @nextjs @neondatabase @prisma @tailwindcss @togethercompute @vercel @ClerkDev That's correct. However, I still like how Nest is organized
@nutlope @typescript @nextjs @neondatabase @prisma @tailwindcss @togethercompute @vercel @ClerkDev These are great tools, personally for DB I prefer @MongoDB
@sarah_edo I have two: - "Scared money don't make money" for when I'm nervous about taking a risk - "I have a 100% success rate of making it through difficult situations in my life" for when despair is hitting and I fear I won't make it through a tough time (personal or work related)
Announcing v1 of the Together Python SDK! ◆ More intuitive OpenAPI compatible API ◆ Async support for batching requests ◆ More robust with better error handling together.ai/blog/python-sd…
🆕 the one and only @jxnlco on: • Why Pydantic is -still- All You Need • Why most AI frameworks aren't VC backable • Why you'd be happier being bootstrapped • Why you should NOT hire ML Engineers • the definitive origin of Instructor latent.space/p/instructor (and bonus…
WizardLM-2-8x22B by @MSFTResearch is now available in the Together AI API, try it out: api.together.xyz/playground/cha…
Cool. Now we have full-precision Mixtral-8x22B available in @togethercompute API
🚀Mixtral-8x22B-Instruct-v0.1 now available on the Together API! 🚀 api.together.xyz/playground/cha… We can't wait to see what you build!
@vipulved @Meta @togethercompute Intelligence of models is of course important, but the speed of that inference is of huge importance too, and these speeds are insane. Great work from the Together teams.
Wondering how capable is @AIatMeta's new Llama 3 with code interpreter? we hooked together 70b Llama 3 hosted on @togethercompute with @e2b_dev's Code Interpreter SDK and it works fairly well! 🔗👇
Incredible to have Meta out here pushing open source AI forward in such a major way. An amazing moment to be building software when you have $100s of billions of dollars from the major tech players going into advanced R&D and infra that directly benefit you as a developer.
Llama-3 is now available for fine-tuning on Together AI! docs.together.ai/docs/fine-tuni…
Thanks @realorangetin @nutlope @togethercompute for the assist. By setting --model "meta-llama/Meta-Llama-3-8B-Instruct", llama 3 fine-tuning works on @togethercompute
@nutlope @realorangetin @togethercompute woohoo! Thanks a ton, that worked. Sorry, it was unclear from the docs what was the correct string, didn't realize the strings were different between fine-tuning and inference. Really appreciate the assist
@nutlope @realorangetin @togethercompute woohoo! Thanks a ton, that worked. Sorry, it was unclear from the docs what was the correct string, didn't realize the strings were different between fine-tuning and inference. Really appreciate the assist