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Short term

learn some new language - C/ Golang

learn docker

leetcode

prepare elementary maths/lang for CAT

Long term(if Japanese doesn't work)

prep for GATE and CAT

Very Long term(3-4 years)

get into management

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Present:

Revise Core concepts(Theory) and practice competetive coding.

learn new tools( Docker, PowerBI, Tableau)

Future:

Microsoft Certifications, AWS Cloud certifications

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SHORT TERM:

Learning Docker And Spring

Leetcode

Learn C and C++

LONG TERM:

Prep for CAT and GATE

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Welcome to an exciting 10-week journey into the world of large language models!

LLMs are currently experiencing a substantial surge in popularity. Their significance has notably increased in diverse applications, including natural language processing, machine translation, and code and text generation. This rise in prominence is driven by a growing trend among both companies and individuals to leverage LLMs for automating a wide range of tasks. Understanding and learning about LLMs is highly valuable in light of their growing usage and transformative impact across various domains.

If you're eager to dive into this trend, you'll discover plenty of resources on the internet. But here's the catch - many of them are all over the place, missing a step-by-step guide from basics to real-world use. This can be overwhelming, and you might feel a bit lost.

Imagine this course as your comprehensive guide, exploring every aspect of using LLMs in real-world scenarios. It serves as the crucial link that brings everything together. Each week, we'll delve into the above topics, providing in-depth insights and hands-on experiences. This approach ensures you gain a thorough and well-rounded understanding of every facet within the topic.

We've organized the content into four key pillars -

Fundamentals (Week 1)

Tools and Techniques (Weeks 2-5)

Deployment and Evaluation (Weeks 6-9)

Challenges and Future trends (Weeks 9-10)

This course caters to a diverse audience, including business leaders, professionals, computer science enthusiasts, or students looking to enhance their knowledge in LLMs. While we aim to keep mathematical foundations relatively light, we'll touch on LLM architectural basics in week 11 as bonus content for those interested in delving into LLM research.

To make this course accessible to a wide audience, we've designed it as a self-paced audit course. You can register for the course here and course material will be released weekly, featuring mind maps, "ETMI5: Explain to Me in 5" sections for a quick overview, relevant resources, and comprehensive content to ensure your understanding of each topic. Additionally, we'll provide research papers and distilled summaries to keep you updated on the latest research. This page serves as your central hub for all resources.

Stay informed by registering for email notifications whenever new content is uploaded, or follow our updates on LinkedIn. For any queries, feel free to contact the instructor at [email protected] or on LinkedIn. At the end of each week, we'll address frequently asked questions. To maximize your learning experience, allocate 2-3 hours weekly for reading content and engaging in suggested hands-on experiments.

Understanding the practical fundamentals of LLMs, including its capabilities and limitations

Hands-on experience with end-to-end execution of LLM use cases

Learning best practices for exploring and evaluating the usefulness of LLMs in specific scenarios

Proficiency in integrating and comprehending new updates in LLMs, effectively fitting each piece into the larger puzzle and understanding its relevance.

You can register for this course anytime during the 10 weeks to start receiving emails with downloadable content ( Registrations are closed! The course content is available for everyone to access!)

Click on the below topics to start learning!

🗓️ Week 1**: Practical Introduction to LLMs (Click on topics below)**
[Week 1, Part 1] Applied LLM Foundations and Real World Use Cases[Week 1, Part 2] Domain and Task Adaptation Methods
🗓️ Week 2**: Prompting and Prompt Engineering (Click on topics below)**
[Week 2] Prompting and Prompt Engineering
🗓️ Week 3**: LLM Fine-tuning (Click on topics below)**
[Week 3] Fine Tuning LLMs
🗓️ Week 4**: RAG (Retrieval-Augmented Generation) (Click on topics below)**
[Week 4] Retrieval Augmented Generation
🗓️ Week 5**: Tools for building LLM Apps (Click on topics below)**
[Week 5] Tools for Building LLM Applications
🗓️ Week 6**: Evaluation Techniques (Click on topics below)**
[Week 6] LLM Evaluation Techniques
🗓️ Week 7**: Building Your Own LLM Application (Click on topics below)**
[Week 7] Building Your Own LLM Application
🗓️ Week 8**: Advanced Features and Deployment (Click on topics below)**
[Week 8] Advanced Features and Deployment
🗓️ Week 9**: Challenges with LLMs (Click on topics below)**
[Week 9] Challenges with LLMs
🗓️ Week 10**: Emerging Research Trends (Click on topics below)**
[Week 10] Emerging Research Trends
🗓️ Week 11 Bonus**: Foundations (Click on topics below)**
[Week 11] LLM Foundations
This course content is developed by Aishwarya Naresh Reganti. The course is offered independently, for free and is not affiliated with her professional responsibilities or employer. The content presented in this course is intended for educational purposes only and does not reflect the views or policies of any associated organizations.

[Feb 28 2024] Full course is available for audit! Click on the topics to learn more

[Feb 28 2024] Registrations are closed! The course content is available for everyone to access!

ICLR 2024 Research Paper Summary Cards (Click here)

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Built with Notion, the all-in-one connected workspace with publishing capabilities.

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Self study vids- Shweta AroraYT channel 

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Self study vids- Shweta AroraYT channel 

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L-1.1: Introduction to Operating System and its Functions with English Subtitles

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A better way to prepare for coding interviews.

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DSA/ALgo

trying in C/Cpp

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Education is not preparation of life. Education is a life itself -- John Dewey

GATEOverflow is a collection of GATE questions in Computer Science & Engineering most of which are answered by GATE toppers. Feel free to add a question, contribute an answer and to clear any doubt. The purpose of this site is to give the correct answer and derivation of all GATE relevant questions. For offline access you can download the below PDFs.

Subjects

Algorithms

Programming and DS

Engineering Mathematics

Compiler Design

CO and Architecture

Operating System

Theory of Computation

Computer Networks

Concept of layering.OSI and TCP/IP Protocol Stacks; Basics of packet, circuit and virtual circuit-switching; Data link layer: framing, error detection, Medium Access Control, Ethernet bridging; Routing protocols: shortest path, flooding, distance vector and link state routing; Fragmentation and IP addressing, IPv4, CIDR notation, Basics of IP support protocols (ARP, DHCP, ICMP), Network Address Translation (NAT); Transport layer: flow control and congestion control, UDP, TCP, sockets; Application layer protocols: DNS, SMTP, HTTP, FTP, Email.

.$$\scriptsize{\overset{{\large{\textbf{Mark Distribution in Previous GATE}}}}{\begin{array}{|c|c|c|c|c|c|c|c|}\hline
\textbf{Year}& \textbf{2024-1} & \textbf{2024-2} & \textbf{2023}& \textbf{2022} & \textbf{2021-1}&\textbf{2021-2}&\textbf{Minimum}&\textbf{Average}&\textbf{Maximum}
\\\hline\textbf{1 Mark Count} & 3&3&2& 2 &1&1&1&2&3
\\\hline\textbf{2 Marks Count} & 3&3&3& 4 &4&3&3&3.33&4
\\\hline\textbf{Total Marks} & 9&9&8& 10 &9&7&\bf{7}&\bf{8.67}&\bf{10}\\\hline
\end{array}}}$$

Digital Logic

General Aptitude

Analytical Aptitude

Logic: deduction and induction, Analogy, Numerical relations and reasoning

Quantitative Aptitude

Syllabus: Numerical computation, Numerical estimation, Numerical reasoning and data interpretation

Spatial Aptitude

Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping, Paper folding, cutting, and patterns in 2 and 3 dimensions

Verbal Aptitude

Syllabus: English grammar, Sentence completion. Verbal analogies, Word groups. Instructions, Critical reasoning and Verbal deduction

$$\scriptsize{\overset{{\large{\textbf{Mark Distribution in Previous GATE}}}}{\begin{array}{|c|c|c|c|c|c|}\hline
\textbf{Year}& \textbf{2024-1} & \textbf{2024-2} & \textbf{2023} &\textbf{2022} & \textbf{2021-1}&\textbf{2021-2}&\textbf{Min.}&\textbf{Avg.}&\textbf{Max.}
\\\hline\textbf{1 Mark} &1&1&2& 1 &2&2&1&1.5&2
\\\textbf{Count}&&&&&&&&&
\\\hline\textbf{2 Marks}& 1&1&1& 1 &1&1&1&1&1
\\\textbf{Count}&&&&&&&&&
\\\hline\textbf{Total} &3&3&4& 3 &4&4&\bf{3}&\bf{3.5}&\bf{4}\\
\textbf{Marks}&&&&&&&&&\\\hline
\end{array}}}$$

Admissions

Quick Read : Follow the resources given in gatecse.in. Those are the best that you can find online. Solve GO pdf thoroughly unless you've mastered the concepts involved in the PYQs. Read comments and different approaches for answers. Take test series if you've time but don't take the marks seriously :P A big thanks to GO community. Here you will find everything you need to strengthen your concepts. Best thing about GO is that you can argue about answers, have healthy discussions and get to the root of why the solution is the way it is. Aspirants of GATE CS are fortunate to have this platform. I fell sick in last week leading to the exam. All my confidence was lost and was unable to perform that well in test series. So I decided to once again go through the GO pdf and discussions and not give any tests. In this ... so focus on things you can control. You don't learn anything from exams. You learn while preparing for them. Don't forget to live a life. GATE is an easy exam and not as competitive as JEE. So if you have failed at JEE, don't think you won't make it in GATE. Life never stops throwing opportunities at you, it's upto you to make the most of them. Rituraj Joshi AIR 29

Words would fall short to express how much thankful I am to GO for the helping hands that the wonderful users of this site had extended to me to enable me land up at AIR 116 in GATE CS 2019 in the very first attempt. I am currently pursuing my Btech in 4th year. Thank you @Arjun Sir , @Bikram Sir to come up with such a wonderful site and always helping fellow aspirants like us. Though this isn't such an impressive rank, but behind the scenes, there were countless number of sleepless nights and lot of struggle and hard work which got all the recognition today because of GO. I would personally like to thank my best friend @Manas Kumar Mishra for picking me up at times when I was low..for motivating and inspiring me to the extent that enabled me to carry on my preparation till the last minute. I can't express my gratitude in words..There are certain emotions that cant be expressed in words..:) Also, I would personally like to thank @Shaik , @MiniPanda , @Magma for helping me endlessly to clarify my doubts. Thank you so much :) My GATE journey has been described here: https://www.quora.com/profile/Somoshree-Datta

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GATE Overflow for GATE CSE / GATE Overflow for GATE CSE

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GATE Overflow contains all previous year questions for Computer Science graduates for exams like GATE, ISRO, TIFR, ISI, NET, NIELIT etc.