Manav

Generative AI is the #1 skill for 2023 and you cannot ignore it! @NexusVP x @TheProductfolks presents 🚀 GenAI Rush: A Generative AI Cohort-Based Course and Buildathon 🚀 Get FREE access: 1. RT + Comment ‘ChatGPT’ 🔁💬 2. Register below👇 #AIwithTPF rebrand.ly/GenAI-Rush

@TheProductfolks @NexusVP ChatGPT

I've spent 100s hours of finding good PM content. Here's my HUGE curated db of 144: 🔸 tools 🔸 books 🔸 videos 🔸 courses 🔸 websites 🔸 podcasts 🔸 templates 🔸 newsletters I'm going to sell it for $59. For the next 24h only: FREE! Follow + RT + comment "🚀" and I'll DM.

@carlvellotti 🚀

@arcinternet @joshm yesss!

Yesterday, @joshm asked for your help with a ʙɪɢ ᴅᴇᴄɪsɪᴏɴ (adding A.I. to Arc!) over 500 people weighed in on our YouTube! 😳

@vishtwts @codedamncom Amazing revamp here. "FAANG+ logos", "steps based journey", "100+ projects", reinforcing "community" followed by user testimonials. Can see how you have focussed on key elements of human psychology. These elements keep giving the dopamine hit by providing instant gratification.🙌

We revamped our landing page at @codedamncom ✨ Here's a comparison between the old one vs the new landing page. Check out the full page at codedamn.com What do you think?

By eliminating the need for fine-tuning and labeled data, DINOv2 paves the way for a more accessible and efficient future in computer vision applications. Join AI NEWS group: openinapp.co/htot8 PS: I post one such deep-dive daily. Do follow @manavmodi_ ⚡ (8/8)

Bottom line🔥 Meta AI's DINOv2 is a game-changer in the world of computer vision. Its self-supervised learning approach and multipurpose backbone make it a versatile tool that can be easily adopted across various industries. (7/8)

DINOv2: Meta AI's Vision Transformer That's Changing the Game in Computer Vision. Here's a deep-dive ↓ 🧵

Bottom line🔥 SAM is a groundbreaking model with the potential to change the way we process and analyze images. Keep an eye on this innovative technology from Meta, as it's bound to make waves in the AI world! 🌊🤖 Join the AI NEWS group: openinapp.co/htot8 (7/7)

To better understand the impact💪 Picture a busy street with pedestrians, vehicles, and buildings. SAM can automatically separate and identify each element in the image, even if it hasn't seen them before! It's like having a super-smart helper to analyze complex scenes. (6/7)

📸✂️ Meet SAM: @Meta 's Supermodel for Image Segmentation 🧵 GitHub Repo: lnkd.in/dtM_F7pQ Paper: lnkd.in/dTd7wzUz (1/7)