SANCHARIKA DEBNATH

Passionate Data Scientist • spectreseek🔴

[SANCHARIKA DEBNATH @_Sancharika]

introducing geniefile

an ai doc for everything with no constrains

- add your doc
- let it load and save it
- voilà! shoot your question

10 ppl used it in 1 week of launch

@buildspace

[SANCHARIKA DEBNATH @_Sancharika]

Feels good to see our paper got posted here✨😭

[IJCISIM_Journal @Journal_IJCISIM]

🤩#call4reading

✍️Hyperspectral #Image Compression using Modified #Convolutional Autoencoder #by Satvik Agrawal, Sancharika Debnath, Santwana Sagnika, Saurabh Bilgaiyan and Saksham Gupta

🔗https://t.co/1vCnhgj833

[Gabby @thenaijacarguy]

How to be Data-Driven.

[Google DeepMind @GoogleDeepMind]

Our AI for chip design method AlphaChip has transformed the way we design microchips. ⚡

From helping to design state-of-the-art TPUs for building AI models to CPUs in data centers - its widespread impact can be seen across Alphabet and beyond.

Find out more → https://t.co/G3Hsk3mWU9

[Josep Ferrer @iamjosepferrer]

The Transformers architecture clearly explained 👇🏻

[Josep Ferrer @iamjosepferrer]

The Transformers architecture clearly explained 👇🏻

[Josep Ferrer @iamjosepferrer]

Multiple Linear Regression exemplified for dummies👇🏻

[Josep Ferrer @iamjosepferrer]

Simple Linear Regression exemplified for dummies👇🏻

[elvis @omarsar0]

LLM Visualization

This is actually pretty amazing! It helps to visualize the core components of LLMs like nano-gpt and GPT-3.

[LangChain @LangChain]

📊AI-Driven Research Assistant

This is an advanced AI-powered research assistant system that utilizes multiple specialized agents to assist in tasks such as data analysis, visualization, and report generation

Fully open source, uses LangGraph!

https://t.co/kqxXkdDaiA

[Google AI @GoogleAI]

Read about a new Heat Resilience tool that applies AI to satellite and aerial imagery, helping cities quantify how they can reduce surface temperatures with cooling interventions, such as planting trees and installing highly reflective surfaces on roofs. https://t.co/DI0828VSrK

[Kirk Borne @KirkDBorne]

Data Scientist Roadmap

#Infographic by @DataScienceDojo

[Rohan Paul @rohanpaul_ai]

AI Engineers

[SANCHARIKA DEBNATH @_Sancharika]

@_buildspace @_nightsweekends 💡Fundamentals Strengthened:
- Developed strong foundations in ML concepts and LLM concepts
This 100-day journey has been more than just learning; it's been a personal growth experience. Discovered new passions, developed valuable skills. Excited to continue this journey & Thanks

[SANCHARIKA DEBNATH @_Sancharika]

🌟#100DaysofLearningChallenge: A Journey of Growth and Achievement!🌟

I'm incredibly grateful to have completed 100 days of consistent learning.

tldr: Reflecting on this incredible journey, I'm filled with a sense of pride and gratitude. Cheers to Learning and celebrations! 🥂

[SANCHARIKA DEBNATH @_Sancharika]

@_buildspace @_nightsweekends 🤝Community & Networking:

- Had the opportunity to provide feedback and guidance to a few juniors.
- Received the Top ML Voice badge on LinkedIn, a recognition that I’m incredibly proud of.
- Connected and collaborated with amazing people from around the world.

[SANCHARIKA DEBNATH @_Sancharika]

@cohere @CohereForAI @_akhaliq 🔗Check out More Detailed Explanation. Feel free to Connect!
https://t.co/cr5fto9GaT

🔗Geniefile: https://t.co/VIL5DaaPQB

📂Data Science Decoded: https://t.co/lzgr9KkXcH

📊Reseach Paper: To Code, or Not To Code? Exploring Impact of Code in Pre-training: https://t.co/AgndaMsDgX

[SANCHARIKA DEBNATH @_Sancharika]

Day 100 of #100DaysofLearning: The Journey Ends, But the Learning Continues!🎉
1. 1 LeetCode
2. Discovering a Groundbreaking Paper from @cohere:
To Code or Not To Code? That’s the question @CohereForAI explored in their recent paper, and the findings are fascinating
cc: @_akhaliq

[SANCHARIKA DEBNATH @_Sancharika]

@cohere @CohereForAI @_akhaliq 3. Significant Performance Gains: Adding code to pre-training led to up to an 8.2% increase in natural language reasoning, 4.2% boost in world knowledge, a 6.6% improvement in generative win-rates, and a staggering 12x improvement in code performance & Importance of Code Quality.