Every LLM has a personality
GPT-4 is like a lazy reticent teenager refusing to answer questions, requiring a lot of pushing to write code and do things
Claude 3 is like an eager and thoughtful adult with a bias for action
Gemini is a holier-than-thou wokist that strives too hard to be politically correct
- Source Twitter
GPT-4 is like a lazy reticent teenager refusing to answer questions, requiring a lot of pushing to write code and do things
Claude 3 is like an eager and thoughtful adult with a bias for action
Gemini is a holier-than-thou wokist that strives too hard to be politically correct
- Source Twitter
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Mind blowing stuff by Claude 3, even it's basic version is somehow close to GPT-4 🔥
And Claude 3 OPUS is surpassing everyone in all criterias 🔥😀
https://www.anthropic.com/news/claude-3-family
And Claude 3 OPUS is surpassing everyone in all criterias 🔥😀
https://www.anthropic.com/news/claude-3-family
Apple just published a new paper unveiling MM1, a new family of multimodal AI models — with the largest at 30B parameters.
https://www.marktechpost.com/2024/03/16/apple-announces-mm1-a-family-of-multimodal-llms-up-to-30b-parameters-that-are-sota-in-pre-training-metrics-and-perform-competitively-after-fine-tuning/
https://www.marktechpost.com/2024/03/16/apple-announces-mm1-a-family-of-multimodal-llms-up-to-30b-parameters-that-are-sota-in-pre-training-metrics-and-perform-competitively-after-fine-tuning/
MarkTechPost
Apple Announces MM1: A Family of Multimodal LLMs Up To 30B Parameters that are SoTA in Pre-Training Metrics and Perform Competitively…
Recent research has focused on crafting advanced Multimodal Large Language Models (MLLMs) that seamlessly integrate visual and textual data complexities. By delving into the minutiae of architectural design, data selection, and methodological transparency…
My "Learn Python" repo needs a refresh! It isnt updated since a year
I'm looking for contributors to add new Python resources or help remove outdated ones. Your contributions can make a big difference for the community!
Check it out & contribute: https://github.com/thegeekyb0y/learnpython
I'm looking for contributors to add new Python resources or help remove outdated ones. Your contributions can make a big difference for the community!
Check it out & contribute: https://github.com/thegeekyb0y/learnpython
GitHub
GitHub - thegeekyb0y/learnpython: Python Resources for Everyone
Python Resources for Everyone. Contribute to thegeekyb0y/learnpython development by creating an account on GitHub.
Forwarded from 2100030017_ARJUN S
Great AppSec Hackathon (with placement & internship opportunities) 2024 – the second edition of this electrifying event, organized by Cybersecurity Center of Excellence, DSCI in collaboration with the Government of Telangana.
🔗 Registrations are now open: https://lnkd.in/gcBFKjDs
🗓 Save the date: 17th-18th August 2024
🏆 10 lakh+ Cash Prizes up for grabs!
💼 Direct access to Internships and Placements from top-notch and government agencies.
🧠 Mentorship and guidance from industry experts, helping you sharpen your skills.
🌐 Networking opportunities with fellow coders and tech from around the globe.
🚀 An introductory session to kickstart your hacking journey.
🔗 Registrations are now open: https://lnkd.in/gcBFKjDs
🗓 Save the date: 17th-18th August 2024
🏆 10 lakh+ Cash Prizes up for grabs!
💼 Direct access to Internships and Placements from top-notch and government agencies.
🧠 Mentorship and guidance from industry experts, helping you sharpen your skills.
🌐 Networking opportunities with fellow coders and tech from around the globe.
🚀 An introductory session to kickstart your hacking journey.
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1.LLMs, RAG and building them from Scratch:
https://lnkd.in/gsSCgP_4
2. Reinforcement Learning:
https://lnkd.in/gtV_tCPV
3.Computer Vision and Robotics:
https://lnkd.in/gWhiaJDe
4. Programming and Brief about ADAS
https://lnkd.in/giQf7Sdq
5. Composite channel of Programming, Al, Mathematics with lot of colloborators
https://lnkd.in/gKbWuy-j
6. Mathematics for ML:
https://lnkd.in/gVnrYFtj
7.Stable Diffusion, RL and LLM's
https://lnkd.in/gM8SCcW2
8.Statistics and Mathematics of ML:
https://lnkd.in/gHFm9mdT
9.Python:
https://lnkd.in/g9dKxGa5
10. R and some useful ML models from scratch in R:
https://lnkd.in/gKpiEnEX
https://lnkd.in/gsSCgP_4
2. Reinforcement Learning:
https://lnkd.in/gtV_tCPV
3.Computer Vision and Robotics:
https://lnkd.in/gWhiaJDe
4. Programming and Brief about ADAS
https://lnkd.in/giQf7Sdq
5. Composite channel of Programming, Al, Mathematics with lot of colloborators
https://lnkd.in/gKbWuy-j
6. Mathematics for ML:
https://lnkd.in/gVnrYFtj
7.Stable Diffusion, RL and LLM's
https://lnkd.in/gM8SCcW2
8.Statistics and Mathematics of ML:
https://lnkd.in/gHFm9mdT
9.Python:
https://lnkd.in/g9dKxGa5
10. R and some useful ML models from scratch in R:
https://lnkd.in/gKpiEnEX
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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Tired of digging through the endless Scikit-Learn docs for that one function?
Same here! That’s why I created this cheatsheet
👀 Want your own copy? It’s totally free!
thegeekyboy.gumroad.com
Same here! That’s why I created this cheatsheet
👀 Want your own copy? It’s totally free!
thegeekyboy.gumroad.com
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