3. When exploring the idea behind @TryRamp
, @eglyman and his co-founder manually created savings report for founders, to see if they'd find them useful:
AI
-

Ramp founders manually built savings reports for validation
By
–
-
Customer Feedback Validation: Distinguishing Genuine Interest from Politeness
By
–
a customer and they say, ‘Oh yeah, that’s cool.’ You say, ‘Would you buy it?’ They’re like, ‘Yeah, yeah, I may buy it.’ That’s not the feedback you’re after. That basically means that, no, they’re not going to buy it. They’re just being nice. …
-
Deep Customer Pain Points in Payroll Services Market
By
–
What you’re looking for is really really deep emotion. The moment we asked them ‘What do you feel about your current payroll provider?’ they started cursing, literally. More than half of people just started cursing and being really upset. That's when you know you have something."
-
75+ CFO Interviews Refine Product Strategy Through LinkedIn Research
By
–
"We did 75+ interviews with CFOs, heads of procurement, and heads of finance. It really helped refine the idea. We had 110 pages of notes from 3 weeks of chats. Turns out the response rate is pretty good on LinkedIn when you just want advice."
-
Kill Bad Ideas Early: The Best Time to Pivot Is Today
By
–
"We were very honest with ourselves. We worked on a bunch of terrible ideas before, and if there’s anything we had learned, it’s that today will be the easiest day to kill the idea and do something better. It’ll always be harder tomorrow. …
-

Founders share validation strategies for startup ideas
By
–
A few of my favorite stories of how founders validated their startup ideas: 1. After 6 ideas that didn't work out, Rujul Zaparde (
@rujulz
) and Lu Cheng created a 16-point checklist for what a great startup idea needs to hit. -

ImageBind: Meta AI’s Multimodal Learning Across Six Modalities
By
–
ImageBind by Meta AI is capable of binding information from six modalities. It equips machines with a holistic understanding that connects objects in photos with how they will sound, their 3D shape, temperature & how they move.
— AI at Meta (@AIatMeta) 16 août 2023
More on this research ➡️ https://t.co/yzoIrLRu2p pic.twitter.com/nHOxevSA51ImageBind by Meta AI is capable of binding information from six modalities. It equips machines with a holistic understanding that connects objects in photos with how they will sound, their 3D shape, temperature & how they move. More on this research https://
bit.ly/46hAJaY -

Efficient Fine-Tuning Llama 7B on Single GPU Workshop
By
–
Upcoming #workshop w/ @DeepLearningAI_
: Efficiently Fine-Tune #Llama7b on a Single GPU! We'll discuss the challenges of #finetuning LLMs and show you how to tackle them. Topics include: parameter efficient tuning, deployment strategies, RAG & more. https://
eventbrite.com/e/efficient-fi
ne-tuning-for-llama-7b-on-a-single-gpu-tickets-696331224437?aff=Psm
… -
User Feedback Integration for LangSmith Apps with Streamlit
By
–
Feedback is important for improving your apps! Previously we only had examples of logging thumbs up/thumbs down to LangSmith. We've now added examples of user corrections and comments using @streamlit s/o @OhSynap
-

900000 Dollar AI Jobs Attract Top Talent Seeking Inspiration
By
–
The $900,000 AI Job Is Here https://
on.wsj.com/3DW555J “People want to go to places where they not only can prosper financially, but they can work on things that inspire them because they have ultimate choice.”