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Tʜᴇ Bᴇsᴛ Computer Science Cʜᴀɴɴᴇʟ Oɴ Tᴇʟᴇɢʀᴀᴍ💻

👤𝗢𝘄𝗻𝗲𝗿 & 𝗔𝗱𝗺𝗶𝗻➽ @krishnatheprogrammer
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4 weeks, 1 day ago

Adobe just announced OpenAI Sora integration!

Link:-
https://www.instagram.com/reel/C52P9XKL8h-/?igsh=MXN6ZDM1cjFvNzcxbQ==

1 month, 1 week ago

Free Generative AI Live Course!
🎊 I am very grateful that my free Master Generative AI with Langchain course hit big with over 80+ students. I am providing this course for free on weekends
(started from April 6th).

Here's what have been covered so far, in 2 days, on April 6th and April 7th. GenAI Introduction:

🥁 What are Large Language Models?

🥁 How do we train LLMs?

🥁 Evaluation Metrics (get an idea about BLEU score, and ROUGE score, also understand Precision, Recall, and Accuracy)

🥁LLM use cases

🥁LLM challenges

🥁Domain Specific Pre-Traning

🥁Domain Specific Fine-Tuning

🥁RAG GenAI Prompt Engineering:

🥁 What is Prompting?

🥁Parameters affecting LLM Output: Temperature, Top K, Top P, Maximum Length, Repetition Penalty, Presence Penalty

🥁Elements of Prompts

🥁Open AI Guidelines for Prompting

🥁Zero-Shot Prompting

🥁Few-Shot Prompting

🥁Chain-of-Thought Prompting

🥁Self-consistency Prompting

🥁Tree of Thoughts Prompting

🥁Generated Knowledge Prompting

🥁Prompt Chaining

🥁ReAct Prompting

🥁 Multimodal CoT Prompting

The course material is available at this link:
https://lnkd.in/gZW44vcH

Please join this whatsapp group for more lecture materials and related videos. Thanks! https://lnkd.in/g8-b85HW

1 month, 3 weeks ago

Free AI Resources by Google that should be paid but it is free...

Beginner Level

1) Introduction to Generative AI Understand the fundamentals of generative AI and its use cases, and gain practical experience of developing generative AI apps. https://lnkd.in/dyabpncK

2) Prompt Design in Vertex AI Craft powerful prompts, learn multimodal generative techniques, and apply Gemini models to real-world marketing cases. https://lnkd.in/d8QgGSrS 

3) Introduction to Duet AI in Google Workspace Learn to use Duet AI to streamline your Google Workspace and become more productive. https://lnkd.in/d6-sQ-DN  

4) Responsible AI: Applying AI Principles with Google Cloud Learn best practices to responsibly integrate AI into your business operations. https://lnkd.in/ddp4vBNd  Intermediate

5) Conversational AI on Vertex AI and Dialogflow CX Build, deploy and manage virtual agents to engage with customers and resolve errors. https://lnkd.in/dnkAxE4B 

6) Attention Mechanism Understand the basics of attention mechanism and learn to use it to improve standard ML tasks, such as machine translation, text summarization, and answering questions. https://lnkd.in/dDZTDEvg 

7) Create Image Captioning Models Use deep learning to create your own image captioning model, train it, and evaluate output. https://lnkd.in/duuJTWvv 

8) Encoder-Decoder Architecture Learn the fundamentals of encoder-decoder architecture and to use it to train models to perform sequence-to-sequence tasks. https://lnkd.in/dsNaBcBt  Advanced

9) ML Pipelines Learn from trainers and engineers who are directly involved in the development of ML pipelines at Google Cloud. https://lnkd.in/dDu_fgVZ 

10) Google Cloud Solutions II: Data and Machine Learning Learn to use Google Cloud to run big data operations and analytics, using the ML practices of Google’s Solutions Architecture team. https://lnkd.in/dpMYeVyK

DISCLAIMER: Most course materials are free to consume. But labs may need a subscription, credits, or participation in campaigns to be accessed.

2 months, 2 weeks ago

Design and Analysis of Algorithms

This course assumes that students know how to analyze simple algorithms and data structures from having taken 6.006. It introduces students to the design of computer algorithms, as well as analysis of sophisticated algorithms.
R1. Matrix Multiplication and the Master Theorem. R2. 2-3 Trees and B-Trees. R3. Amortization: Amortized Analysis. R4. Randomization: Universal & Perfect Hashing. R5. Dynamic Programming. Augmentation: Range Trees.

🆓 Free Online Course
💻 Lecture Videos
Duration : More than 1 hour
🏃‍♂️ Self paced
Source : MIT

🔗 Course Link

#programming #algorithms

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2 months, 2 weeks ago

Summer Programs List: Yale Young Global Scholars
https://globalscholars.yale.edu/
LaunchX
https://launchx.com/summer-program/
RSI
https://www.cee.org/programs/research-science-institute
Spark SIP
https://www.sparksip.org/
Applied Research Innovations in Science and Engineering (ARISE)
https://engineering.nyu.edu/academics/programs/k12-stem-education/arise
Stanford Institutes of Medicine Summer Research Program (SIMR)
https://simr.stanford.edu/
Summer Science Program (SSP)
https://summerscience.org/admissions/how-to-apply/
NIH Biomedical Research
https://www.training.nih.gov/programs/hs-sip
BU PROMYS
https://promys.org/
Stanford University Mathematics Camp
https://sumac.spcs.stanford.edu/
BU Rise
https://www.bu.edu/summer/high-school-programs/research/
NASA Internships
https://www.nasa.gov/learning-resources/internship-programs/
SSRP at Rockefeller University
https://www.rockefeller.edu/outreach/ssrp/
Simons at Stony Brook University
https://www.stonybrook.edu/simons/
Clark Scholar Summer Program
https://www.depts.ttu.edu/honors/academicsandenrichment/affiliatedandhighschool/clarks/
UPenn Management & Technology Summer Institute
https://fisher.wharton.upenn.edu/management-technology-summer-institute/
MITES (Minority Introduction to Engineering and Science)
https://mites.mit.edu/
MIT Beaver Works Summer Institute
https://beaverworks.ll.mit.edu/CMS/bw/bwsi
MIT PRIMES
https://math.mit.edu/research/highschool/primes/index.php
Johns Hopkins University Center for Talented Youth
https://cty.jhu.edu/
COSMOS
https://cosmos-ucop.ucdavis.edu/app/main
MathILy
https://www.mathily.org/
Young Tech Scholars
https://plaksha.edu.in/hs/young-technology-scholars
YUVIKA
https://www.isro.gov.in/YUVIKA.html
TASS
https://www.tellurideassociation.org/our-programs/high-school-students/
Lodha Genius Program
https://www.lodhageniusprogram.com/
UBC Future Global Leaders
https://extendedlearning.ubc.ca/programs/future-global-leaders-oncampus/overview
The European Space Camp
https://www.esa.int/Education/European_Space_Camp
LLCipher
https://www.ll.mit.edu/outreach/LLcipher.html
BU Summer Challenge
https://www.bu.edu/summer/high-school-programs/summer-challenge/
BU High School Honors
https://www.bu.edu/summer/high-school-programs/honors/
Stanford Pre-Collegiate Studies
https://spcs.stanford.edu/
High School Honors Science, Math and Engineering Program
https://education.msu.edu/hshsp/
YOUNG SCHOLARS PROGRAM @ Ashoka Uni
https://www.ashoka.edu.in/academic-programme/young-scholar-programme/
Notre Dame Leadership Seminars
https://precollege.nd.edu/leadership-seminars/
The Laboratory Learning Program
https://research.princeton.edu/students/research-opportunities/
LEDA Scholars Program
https://ledascholars.org/our-program/leda-scholars-program/recruitment-admissions/apply/
UChicago Summer Session
https://summer.uchicago.edu/high-school-students
Brown Pre-College Programs
https://precollege.brown.edu/
ESTEEM SER-Quest Summer Program
https://eng.umd.edu/minorities/pre-college-programs/esteem-ser-quest

Launchx

Entrepreneurship & Innovation – LaunchX Programs

LaunchX high school summer online and in-person programs are rigorous, yet practical. Grow as an entrepreneur and innovator. Join a worldwide community of like-minded friends.

Summer Programs List: Yale Young Global Scholars
2 months, 2 weeks ago

Machine learning.pdf

4 months, 1 week ago

Amazon has released FREE courses on AI.

No payment is required!

Here are 7 Amazon course collections to master Artificial Intelligence 👇

  1. Generative AI Learning Plan

Duration: 11 Hours | Courses: 5

- Introduction to Generative AI
- Planning a Generative AI Project
- Amazon Bedrock Getting Started
- Foundations of Prompt Engineering
- Building Generative AI Applications

https://lnkd.in/gQsJM_rF

  1. Generative AI Learning Plan for Decision Makers

Duration: 3 Hours | Courses: 3

- Introduction to Generative AI - Art of the Possible
- Planning a Generative AI Project
- Building a Generative AI-Ready Organization

https://lnkd.in/gJHJarui

  1. Foundation of Prompt Engineering (stand-alone)

Duration: 4 Hours

https://lnkd.in/gdCf29K7

  1. Low-Code Machine Learning on AWS

After completing this course, you will be able to build ML models to support proofs of concept (POCs).

You will also be able to assist data scientists with potential ML model candidates to solve business problems.

https://lnkd.in/guwh8KQV

  1. Building Language Models on AWS

Duration: 5h 30m.

After completing this course, data scientists can confidently build, train, and tune performant language models on AWS using SageMaker.

https://lnkd.in/gJVEU5Qy

  1. Amazon Transcribe Getting Started

Amazon Transcribe is a fully managed artificial intelligence (AI) service that helps you convert speech to text using automatic speech recognition (ASR) technology.

Duration: 1h 30m.

https://lnkd.in/gYx7arPQ

  1. Machine Learning Learning Plan

If you’re a beginner looking for a clear starting point to help you build a career in machine learning, start with an AWS Learning Plan.

Duration: 12h 13m | Total 10 courses inside.

https://lnkd.in/gWTz3p2W

4 months, 2 weeks ago

Blockchain and Money
By MIT

Instructor: Prof. Gary Gensler

As Taught In: Fall 2018

Level: Graduate

Duration: 26 hours (24 lessons)

*🔗 Video lectures*
(https://ocw.mit.edu/courses/sloan-school-of-management/15-s12-blockchain-and-money-fall-2018/video-lectures/)

*🔗 Course link (https://ocw.mit.edu/courses/sloan-school-of-management/15-s12-blockchain-and-money-fall-2018/index.htm)
#blockchain
*➖
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4 months, 2 weeks ago
Leanex CS Stuff @FreeResources
4 months, 2 weeks ago
Leanex CS Stuff @FreeResources
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