Chirag Ganda

AI Enthusiast | Web Development | Java | Unleashing the power of code to create innovative web experiences | CSE | #WebDev #Java #AI

[Chirag Ganda @chirag_ganda]

Hlo guys,
My first Project using HTML and CSS...
Boht hua Zomato, Swiggy
Now use Romato...
😅
#Special_thanks_to_Codewithharry
#1st_Project
@Gurumeena6

[Chirag Ganda @chirag_ganda]

@IndianTechGuide @grok why?

[Chirag Ganda @chirag_ganda]

SBI is shitest Bank when it comes to NetBanking, Mobile Banking whatever

[Coursera @coursera]

Want a chance to get a free backpack from Coursera? 🎒

Simply repost and DM us your full name, address, email and phone number. 😊

(Exclusive to learners in the US, UK and India)

[Chirag Ganda @chirag_ganda]

@ProfesorSahab @RishabhPant17 Jeetega hi ismai paise kya dene

[Chirag Ganda @chirag_ganda]

@RubikaLiyaquat Why not you join BJP...

[nick @nikhilmahana]

Giving away 10 LinkedIn Premium Vouchers - 2 Months Validity.
- RT to enter, and follow to let me DM you!

[Chirag Ganda @chirag_ganda]

Register now and apply to be a part of Hackout 2023 via @devfolio https://t.co/SjuCyumvQ9 #hackathon #devfolio

[Chirag Ganda @chirag_ganda]

https://t.co/hkFPffAVux

[Chirag Ganda @chirag_ganda]

Today I earned my "Create machine learning models" trophy! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey!
#Microsoft

https://t.co/5yeG2jzrPH #MSLearnTrophy

[Chirag Ganda @chirag_ganda]

🎓 Just earned my certificate in Supervised Machine Learning: Regression and Classification from @DeepLearningAI_ and the amazing @AndrewYNg ! 🚀
This course was an incredible learning journey, and I'm grateful for the knowledge ... #ML #DL #AI
https://t.co/Mt54klgWeV #Coursera

[Chirag Ganda @chirag_ganda]

Learnathon 2023 : Microsoft Machine Learning Challenge https://t.co/uB5IcTiK6e

[Chirag Ganda @chirag_ganda]

I just made a purchase from an Indian, homegrown business. I am a proud supporter of small businesses in India https://t.co/TGo26Vm9Fr #isupportlocal #Iheart️local via @instamojo

[Chirag Ganda @chirag_ganda]

learning experience,* and many more! Enrol now as the discount expires soon *https://t.co/oXqfUcAlBH*. If you have any doubts don't hesitate to get in touch with me - Chirag!

[Chirag Ganda @chirag_ganda]

Attention *Chandigarh Engineering students! *Internshala Trainings* is here with *The Great Learning Festival* Campaign where you will get a *FLAT 80% OFF* on all certified trainings. Learn *in-demand skills* and become the most *desired applicantin your industry by grabbing

[Chirag Ganda @chirag_ganda]

a government-approved training certificate, all from the comfort of your home. Don't miss this chance to upskill your career at *FLAT INR 999/-*. Explore from a list of *85+* industry-level certified trainings and avail exclusive benefits like *placement assistance, practical

[Chirag Ganda @chirag_ganda]

🚀 Exciting times ! GitHub Copilot, backed by OpenAI's Codex, takes AI coding to new heights. Unlike GPT-3, it's tailored for code generation. Stats speak: , 55% faster productivity, and 74% more focused devs. Now integrated with major IDEs, revolutionizing coding efficiency! 🤖

[Chirag Ganda @chirag_ganda]

The best part? You will get upto Rs 350 + 55% discount on all courses through my link along with 1:1 doubt solving, and hands-on practice! So hurry up, upskill yourself now - https://t.co/oXqfUcAlBH

[Chirag Ganda @chirag_ganda]

Hey folks! Internshala Trainings is here with an amazing opportunity for Bachelor of Technology (https://t.co/RcgxjmNOUR) students to learn a new skill from 85+ online courses like Web Development, Programming with Python, Data Science and get placement ready with placement..

[Jaydeep @_jaydeepkarale]

Top 10 Best Resources To Learn Python Machine Learning

---- Free Online Courses on YouTube ----

✳️Stanford YouTube playlist
https://t.co/SE0SLu7UJV

✳️ MIT YouTube playlist
https://t.co/SE0SLu7UJV

✳️DeepLearning AI YouTube playlist
https://t.co/SE0SLu7UJV

---- Some best free courses available online ----

✳️ All Machine Learning courses by https://t.co/VzD3JMAzcu
https://t.co/ejViPlXDRb

✳️ NYU Deep Learning course by Yann Lecun
https://t.co/ycXOFPw3fY

✳️ Harvard's Artificial Intelligence course
https://t.co/7LRIXTX2Mo

---- Paid Courses (Can be taken free with aid) ----

✳️ Machine Learning from Stanford University by Andrew Ng
https://t.co/0LkdleWXo3

✳️ IBM Machine Learning Professional Certificate
https://t.co/0fp8JoiUoP

✳️ Deep Learning Specialization DeepLearning. AI
https://t.co/QsxDW4kIJ4

✳️ Machine Learning Engineering for Production (MLOps) Specialization from DeepLearning. AI
https://t.co/kPQQGn5FEi

[Sumanth @Sumanth_077]

An LLM specialized for generating code in Python, Java, and Javascript🔥

Introducing DeciCoder an new Open Source LLM designed for code generation 🚀

Here is everything you need to know about the model:

This is an auto-regressive language model based on the transformer decoder architecture optimized for Python, Java, and Javascript code generation.

Why is it different?

DeciCoder has great throughput and low memory footprint that helps applications to achieve extensive code generation with the same latency, even on more affordable GPUs which results in cost savings.

How is it possible?

AutoNAC:

To find "optimal" neural network architecture traditional methods need lots of hard work, custom coding, and doing things by hand.

These procedures consume a lot of time and frequently miss out on detecting the most performance-efficient neural structures.

AutoNAC offers a compute-efficient method to produce Neural Architecture Search (NAS) inspired algorithms, finding the ideal balance between accuracy and inference speed.

To give more example AutoNAC has also discovered state-of-the-art models like Yolo-NAS (object detection), DeciBERT (question-answering), and DeciSeg (semantic segmentation).

Key Details of DeciCoder:

→ Number of Parameters: 1 Billion
→ Training Dataset: 'The Stack' dataset (specifically curated for Python, Javascript, and Java)
→ Supported Coding Languages: Python, Javascript, Java
→ Context Window: 2048 tokens

Get started with the Model from the links in the next post: