With 50K+ hours of Vedantu curriculum being streamed and a 37% increase in classroom attendance being observed, the campaign went on to create a positive social impact that earned them the coveted Can

On the spot: Making the right connections

Vivek Bhutyani of Vedantu has been appointed VP of Content Marketing at Pocket FM - Vivek Bhutyani , formerly a member of Vedantus leadership team, has joined Pocket FM as Vice President

Vivek Bhutyani of Vedantu has been appointed VP of Content Marketing at Pocket FM

Pocket FM has appointed Vivek Bhutyani as the vice president of content marketing. As per the company, Bhutyani will work closely with Rohan Nayak, cofounder and CEO and Lalit Gangwar, VP – International growth to drive the international growth charter.

Pocket FM ropes in Vivek Bhutyani as VP – content marketing

Prior to Pocket FM, Vivek worked with Vedantu and was leading the YouTube strategy and growth.

Pocket FM appoints Vivek Bhutyani as VP - Content Marketing

Pocket FM today announces the appointment of Vivek Bhutyani as the Vice President of Content Marketing. Read here the details.

Vivek Bhutyani Appointed as VP of Content Marketing at Pocket FM

Prior to Pocket FM, Bhutyani was as an integral part of the Vedantu leadership team. He was dedicated to driving organic growth for Vedantu, where he used to lead the entire YouTube strategy and growth,

Vivek Bhutyani joins Pocket FM as vice president - content marketing

Infosys founder NR Narayana Murthy’s family office Catamaran Ventures, which has over $1 billion in assets under management, is setting up .

Catamaran to set up family fund in Gift City, to double AUM to $2 billion

From customer support to content creation, upskilling, and personalised learning — here's how edtech companies are leveraging AI.

How edtechs are retaining students

Physicswallah cofounder Prateek Maheshwari has replaced Kumar, who stepped down as co-chair of the edtech body early September, according to an emailed announcement sent to some other members of the forum.

Upgrad MD Mayank Kumar steps down as co-chair of India Edtech Consortium

Mayank Kumar was leading the IEC since 2022 along with BYJU’S cofounder Divya Gokulnath. He resigned to focus more on the operations of upGrad.

upGrad’s Mayank Kumar Quits As IEC Co-Chair, PW’s Prateek Maheshwari To Take Over

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Despite the downturn, EdTech continues to be an attractive investment opportunity for venture capitalists. The sector’s growth prospects remain strong, driven by the increasing adoption of technology and online learning, rising demand for upskilling and reskilling, and the growing number of K-12 and higher education students in the country. According to a report by Blume Ventures, the EdTech market in India is expected to grow at a CAGR of 39% to reach $10.4 billion by 2025. While I doubt they will concur with their report now and are likely to focus on alt sectors, the macro indicators underlying the EdTech investment outbreak in 2021 are still positive. Dealroom reported compared to the previous year due to several factors, including the pandemic-induced economic slowdown, rising inflation, and tighter regulatory scrutiny. The sector’s growth was partly fueled by the surge in online learning during the pandemic, and as things have started to return to normal, the growth has slowed down. This especially followed suit in India, where most EdTech companies saw themselves either running out of runway or raising down-rounds. The real status, of course, becomes clearer in the L2 divisions of the sector. a decline in EdTech activity in private and public markets in 2022 The EdTech sector in India is divided into three major sub-sectors, namely, K-12, higher education, upskilling and reskilling, and each sub-sector presents unique opportunities for investment. The three sub-sectors are solving drastically different problems of different segments. Only one, in my opinion, is slated to create true value. The Kids are Addicted & the Government is Worried K-12: The K-12 EdTech sector focuses on providing digital learning solutions for school students. The sector has witnessed significant growth in recent years, with various companies providing digital content, adaptive learning platforms, and personalised learning solutions. However, investing in this sector can be tricky, as it is highly dependent on government policies and the quality of the education system in the country. BYJU’S: , BYJU’S remains one of the leading EdTech companies in India, providing digital learning solutions for K-12 students. The company has raised over $2 billion in funding and has a valuation of $18 billion. Despite the media frenzy Vedantu: Vedantu is an online tutoring platform that provides live classes for K-12 students. The company has raised over $200 million in funding and has a valuation of $1.1 billion. Toppr: Toppr is an online learning platform that provides personalized learning solutions for K-12 students. The company has raised over $100 million in funding and has a valuation of $800 million. The government of India recently announced , which require EdTech companies to comply with a set of rules and regulations, including minimum qualifications for teachers and accreditation requirements. new guidelines for online education While companies like BYJU’S, Vedantu, and Toppr are leaders in this space, they have faced regulatory challenges. The government of India recently announced , which require EdTech companies to comply with a set of rules and regulations, including minimum qualifications for teachers and accreditation requirements. Therefore, investors looking to invest in K-12 EdTech companies need to keep a close eye on regulatory developments. new guidelines for online education Higher Education: A quality problem borrowed from their offline counterparts The Higher Education EdTech sector focuses on providing digital learning solutions for college and university students. The sector has witnessed significant growth in recent years, with various companies providing online degree programs, online certification courses, and digital content. Some of the top investment opportunities in the Higher Education EdTech sector include: upGrad: upGrad is an online learning platform that provides degree programs, certification courses, and executive education programs. The company has raised over $290 million in funding and has a valuation of $2 billion. Simplilearn: Simplilearn is an online learning platform that provides certification courses in various domains such as data science, cloud computing, and digital marketing. The company has raised over $50 million in funding and has a valuation of $300 million. Emeritus: Emeritus is an online learning platform that provides executive education programs in collaboration with top universities such as MIT, Columbia, and Wharton. The company has raised over $185 million in funding and has a valuation of $2 billion. Companies like upGrad, Simplilearn, and Emeritus are leading players in this space and have raised significant funding in recent years. However, investing in this sector requires carefully analysing the market, competition, and quality of online education offerings. The success of these companies is highly dependent on their ability to offer high-quality education that is comparable to traditional classroom-based education. Upskilling and Reskilling: The Only Way Out The Upskilling and Reskilling EdTech sector focuses on providing digital learning solutions for working professionals. The sector has witnessed significant growth in recent years, with various companies providing online courses and certifications to upskill and reskill employees. Some of the top investment opportunities in the Upskilling and Reskilling EdTech sector include: Simplilearn: Simplilearn is an online learning platform that provides certification courses in various domains such as data science, cloud computing, and digital marketing. The company has raised over $50 million in funding and has a valuation of $300 million, with its latest round led by global venture capital firm, Sixth Sense Ventures. Springboard: Springboard is an online learning platform that provides certification courses in emerging technologies such as AI, data science, and machine learning. The company has raised over $30 million in funding and has a valuation of $350 million, with its latest round led by Reach Capital. Scaler: Scaler is an online learning platform that provides coding and programming courses to upskill and reskill. It raised USD 20 million in funding led by Strive. The upskilling and reskilling sub-sector of the EdTech industry presents a unique opportunity. With the world becoming more technologically advanced, companies are constantly seeking employees with new skill sets. According to by 2025, over half of all employees will require significant reskilling and upskilling. This presents a massive opportunity for EdTech companies to fill this skills gap, making the upskilling and reskilling sub-sector a lucrative investment option. a report by the World Economic Forum, But why this over that? A report by HolonIQ states that the upskilling and reskilling market has witnessed a surge in investment, with total funding reaching USD $87bn+ of Global EdTech funding predicted through 2030. $32bn last decade. The report also highlights that upskilling and reskilling programs are the most sought-after offerings by corporates, with 64% of them citing this as a priority. Furthermore, suggests that the upskilling and reskilling of employees can significantly impact a company’s bottom line. The report highlights that companies that invest in upskilling and reskilling can see a 6-9% increase in profit margins. a report by McKinsey Global Institute Looking closely, there are only two facts to marry: There are over 100 million individuals set to enter the workforce in India over the next 5 years. The wider higher-ed environment is not equipped to churn out quality candidates That is the gap. HolonIQ identified a similar gap in 2019 on a global level. The upskilling and reskilling business model is attractive due to its (1) high-profit margins, (2) shorter course durations, and (3) less vulnerability to external factors. Upskilling and reskilling are able to extract a higher revenue per user (RPU) than K-12 & Higher-Ed players as they charge corporate clients, and the courses they offer are typically shorter in duration. The upskilling and reskilling business model typically operates in the B2B space, catering to the needs of corporate clients. EdTech companies provide short-term, high-quality courses designed to upskill and reskill employees in various domains such as data science, cloud computing, and digital marketing. These courses provide specific and valuable skill sets that the job market demands, and consequently tend to be priced far higher than K-12 or higher education course. This leads to a higher revenue per user (RPU) and a shorter customer acquisition cost (CAC), resulting in a higher lifetime value (LTV) per customer. These companies typically have a diversified client base across various industries, which reduces the risk of revenue loss in case of any economic downturn or regulatory scrutiny. Overall, the upskilling and reskilling business model is attractive due to its (1) high-profit margins, (2) shorter course durations, and (3) less vulnerability to external factors. In Conclusion According to the , the decline in EdTech activity is part of a broader trend of a slowdown in the Indian startup ecosystem and not an isolated event due to changes in the EdTech market. The report highlights that the total value of investments in Indian startups declined by 26% in 2022 compared to the previous year. EY PE/VC Trend Book The report also states that investors are becoming more cautious and are focusing on companies with strong fundamentals, which could be a reason for the decline in EdTech activity. According to the , the decline in EdTech activity is part of a broader trend of a slowdown in the Indian startup ecosystem, and not an isolated event due to changes in the EdTech market. EY PE/VC Trend Book The EdTech industry in India continues to present a multitude of investment opportunities that were originally recognised at the start of 2020, with each sub-sector presenting unique prospects. While the K-12 and higher education segments have witnessed significant growth in recent years, investing in the upskilling and reskilling segment can be a better option due to the untapped market, diversification of client base, and higher profitability. As the demand for upskilling and reskilling programs continues to rise, investing in EdTech companies that provide these services can yield significant returns. However, as with any investment, it is essential to conduct thorough due diligence and invest in companies with strong fundamentals and growth prospects. (Originally published on - Siddhant’s thoughts on data, defi, design, and digital) Draftt

The Future of EdTech Funding in India

Educational Institutes are easy prey for hackers to compromise and covertly launch Cyber Attacks/Malicious Campaigns under the hood, without divulging their real identity. This is majorly due to the reckless attitude of IT Administrators towards their Network Assets as the software programs (which are being used in the production) need to undergo several patches/updates to mitigate any exposed risk. School of Villains by Naolito | Source: DeviantArt Here, we are going to discuss each Threat Vectors where Educational Institutes are being targeted and being used for possible malicious campaigns or exploitation. DATABASE TRADING It is notable that there is a significant rise of “ ” detected on various underground hacking forums or DarkNet Marketplaces during this pandemic (COVID-19). The and are bagging huge amounts (in the form of Cryptocurrency) into their Hot or Cold wallets. Database Trading compromised databases (University/Schools) are being sold on different underground forums Student Record of Brazil advertised in Raid Forum Compromised FTP Servers of Academic Sites The above-listed screenshots are just an example to back the statement for Database Trading at large ( ) and sometimes, it is distributed for free on such communities. if you note the Timestamps It is also important to note that the Online Educational Platforms are also being targeted on a continual basis. One of the largest breaches was the compromise of an Online learning Platform “ ” that got hacked and put for sale on Dark Web Marketplace in May, 2020. Unacademy for $2,000 consisting of 22M Userbase Advertised in Empire Market Note : The Empire Market (Dark Web Marketplace) had gone exit scammed in August 2020, after a long standing for 3 years. Another Indian Tutor website “ ” observed a data breach in 2019, . Vedantu exposing ~700K Student/Tutor Records EDUCATIONAL INFRASTRUCTURE FOR SALE It is common to find the vulnerable/open systems (Academic Infra) among the listing with other compromised servers in the Cyber Criminal Black Markets, but uncommon for the general public. Adversaries gain access to such systems using various methods like Spear Phishing Emails, Open RDP Access, Unprotected Elastic Servers etc. It is a common practice among criminals to conceal their presence (in the victim environment) after compromising the targeted systems, prevailing a backdoor access for extended network access(commonly called Lateral Movement) in order to sell the same on various Marketplaces. Some of the smooth offerings made in this arena are:- Webmail CPAnel Access Microsoft Webmail O365 Access Cpanel Access of various Educational Institutes across the globe Microsoft O365 Domain Accounts for Sale While offering the offensive services, it is remarkable that the hackers/adversaries are redefining their rules of etiquette by providing the legitimacy of the sources like , hence showcasing a professional line. The proves that the listed hacked accounts are recent, which again amplifies the trust factor for the Exploit Seekers. whether the listed assets are in working condition timestamps : Once the actor gains access to the University Infrastructure (such as Email), the same can be against any entity, as Educational Domains are (generally) not included in any of the Blacklist, hence clearing the initial level of defense (traffic from blacklisted IPs are usually blocked). This can also be used for , hence leveraging access to any restricted system (which is being defined via admin policies). Outcome used to launch a Spear Phishing Email Campaigns Impersonation Attacks DOMAIN LIST OFFERING[.EDU] Another kind of novice threat to the Academic Domain is the selling of a large number of Educational Domain lists, hence narrowing down the effort of hackers to find vulnerable systems. Domain Sale Once identified, the actor can scan for the targeted network look for the unsecured Ports/Services, mirroring the website, Exploiting the Weaknesses (in case of unpatched), Gaining Unauthorized Access, Stealthy Integration to a Bot Army (Botnet), Launch DDoS and any imaginable Cyber Destruction. — Note: This threat is not only pertaining to the Educational domain, but also affects other TLDs and Country-Specific TLDs. CREDENTIAL LEAK FROM EDU-PLATFORMS There are ample Credential leaks for Online Educational Platforms (or MOOCs) surfaced on Deep Web, which are being captured by various methods such as etc. and are shared on various Deep Web channels. Keylogging, Spyware Activity, Running Malicious Stealthy Programs, Below is a list of Email-Password combination of Udemy Accounts which appeared on a Turkish forum:- Udemy Accounts listed for free Here is another listing of found on an individual blog:- Username-Password Combo for Code Academy Accounts CodeAcademy Account Credentials It is notable that the passwords are in plain-text which would facilitate adversaries to launch a on various digital platforms of the targeted individual. Password-Spraying Attack There are various dedicated checker programs available for each Educational Platform such as etc. Udemy, CodeAcademy, Coursera Checker Program found for Code Academy Note : Checker Programs are used by attackers to launch Brute Force logins on multiple platforms to check whether the acquired credentials are in working state or not. Similarly, there are various cracked Academic Programs which are being offered for cheaper prices on the Underground Dark Web Marketplaces. Premium Courses offered at cheaper prices As the education is provided for cheaper or free, it can be considered as a Robinhood Act, but cracking into the personal accounts are not justifiable. ATTACKS— RISE OF RANSOMWARE INFECTION & HACKTIVISM It is an undeniable fact that there are many prestigious Academic Institutes hit by numerous ransomware programs at different timelines. By closely inspecting the same fact, it is evident that Ransomware Attacks seen a sudden uptick since 2016; as the victims became ready for the negotiation offered by the hackers in order to recover the files, by paying the ransom. This ignited the interest of attackers and began to invest more resources for the Ransomware Programs. : Now, you may know several RaaS (Ransomware as a Service) programs like along with major Ransomware Gangs like and their experimental business strategies like etc. Outcome Smaug, GandCrab, Project Root Maze, Clop, Netwalker, Nefilim, REvil, Snake Live Data Auction, Storage as a Service, Affiliate Programs, Feedback Collection Here is a list of few Universities who had paid Ransomware Operators to gain back the compromised data:- UNIVERSITY OF CALGARY — 2016 — Paid $20,000 HORRY COUNTY SCHOOL DIST. — 2017 — Paid $8,500 LOS ANGELES VALLEY COLLEGE — 2017 — Paid $30,000 UNIVERSITY OF MAASTRICHT — 2020 — Paid $220,000 UNIVERSITY OF UTAH — 2020 — Paid $457,059 to Netwalker (Suspected) UNIVERSITY OF CALIFORNIA — 2020 — Paid $1.14M to Netwalker MAYNOOTH UNIVERSITY — 2020 — Paid Undisclosed Amount UNIVERSITY HOSPITAL NEW JERSEY — 2020 — Paid $670,000 to SunCrypt It is also interesting to note that the took place recently (May 2020) that compromised more than 10 Universities from the UK, US and Canada. BlackBaud Hack Note : BlackBaud is a Cloud Hosting Provider majorly used by Educational Institutes and various Non-Profit Organizations. Here is a of Educational Institutes who were hit by various Ransomwares in 2020. list The Hacking Campaigns orchestrated by APT Groups such as (Iran) against Global Universities is the that the attacks against Educational Institutes are on a rise. Silent Librarian newest evidence Nowadays, though many institutes are aided by ( is one such), it would be a healthy practice to patch up the old legacy tools in order to keep the cyber attacks at a bay. Cyber Extortion Insurances Cyber Extortion Coverage from IRMI KEY-TAKEAWAYS > Quick fix to the Open/Unsecured ports, especially RDP and Elastic/Mongo > Never to fall for any phishing email attachments/links > Not to blindly trust request coming from EDU Domains > Disown the used passwords in Educational Moocs Platform > Regular Data Backup > Isolate the Mirror/Backup Archives from Mainframe Systems > Never pay demanded ransom, in case of Ransomware Attack The largest IoT Botnet “ ” brought down various online services such as etc was created in a . Mirai OVH, Netflix, Spotify, PayPal University Dorm Room So, Dear Sys-Admins! Never under-estimate the power of Educational Platforms!!! Follow me on for interesting DarkWeb/InfoSec Short findings! ;-) Twitter Note:- The Article is purely an Individual Research and is not subjected to be used/published anywhere without the Author’s consent.

Why Educational Platforms are a Favorite Target Among Attackers?

AIR-Bench: A New Benchmark for Large Audio-Language Models

Enhancing Data Quality: Conclusion and Future Work, and References

Large Language Models on Memory-Constrained Devices Using Flash Memory: Conclusion & Discussion

Fine-Tuning LLaMA for Multi-Stage Text Retrieval: Conclusion, Acknowledgements and References

Zephyr: Conclusions and Limitations, Acknowledgements and References

Authors:
(1) Yingxu He, Department of Computer Science National University of Singapore {e0139128@u.nus.edu};
(2) Qiqi Sun, College of Life Sciences Nankai University {sunqiqi1018@gmail.com}. Table of Links Abstract and Intro
Methodology
References References [1] Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, and Luke Zettlemoyer. CM3: A causal masked multimodal model of the internet. CoRR, abs/2201.07520, 2022. [2] Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang. Object detection in aerial images: A large-scale benchmark and challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–1, 2021. [3] Jon Kleinberg and Eva Tardos. Algorithm Design. Addison-Wesley Longman Publishing Co., Inc., USA, 2005. [4] Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, and Brendan McCord. xview: Objects in context in overhead imagery. CoRR, abs/1802.07856, 2018. [5] Junnan Li, Dongxu Li, Caiming Xiong, and Steven C. H. Hoi. BLIP: bootstrapping language-image pre-training for unified vision-language understanding and generation. CoRR, abs/2201.12086, 2022. [6] Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, and Xuelong Li. Exploring models and data for remote sensing image caption generation. IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183–2195. [7] OpenAI. Introducing chatgpt, Nov 2022. [8] Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. Cider: Consensus-based image description evaluation, 2015. [9] Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, and Lijuan Wang. Git: A generative image-to-text transformer for vision and language, 2022. [10] Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. React: Synergizing reasoning and acting in language models, 2023. [11] Xi Ye and Greg Durrett. The unreliability of explanations in few-shot prompting for textual reasoning, 2022. [12] Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, and Armen Aghajanyan. Scaling autoregressive multi-modal models: Pretraining and instruction tuning, 2023. [13] Wenqi Zhang, Yongliang Shen, Weiming Lu, and Yueting Zhuang. Data-copilot: Bridging billions of data and humans with autonomous workflow, 2023. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Yingxu He, Department of Computer Science National University of Singapore {e0139128@u.nus.edu}; (2) Qiqi Sun, College of Life Sciences Nankai University {sunqiqi1018@gmail.com}. Authors: Authors: (1) Yingxu He, Department of Computer Science National University of Singapore {e0139128@u.nus.edu}; (2) Qiqi Sun, College of Life Sciences Nankai University {sunqiqi1018@gmail.com}. Table of Links Abstract and Intro Methodology References Abstract and Intro Abstract and Intro Methodology Methodology References References References [1] Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, and Luke Zettlemoyer. CM3: A causal masked multimodal model of the internet. CoRR, abs/2201.07520, 2022. [2] Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang. Object detection in aerial images: A large-scale benchmark and challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–1, 2021. [3] Jon Kleinberg and Eva Tardos. Algorithm Design. Addison-Wesley Longman Publishing Co., Inc., USA, 2005. [4] Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, and Brendan McCord. xview: Objects in context in overhead imagery. CoRR, abs/1802.07856, 2018. [5] Junnan Li, Dongxu Li, Caiming Xiong, and Steven C. H. Hoi. BLIP: bootstrapping language-image pre-training for unified vision-language understanding and generation. CoRR, abs/2201.12086, 2022. [6] Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, and Xuelong Li. Exploring models and data for remote sensing image caption generation. IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183–2195. [7] OpenAI. Introducing chatgpt, Nov 2022. [8] Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. Cider: Consensus-based image description evaluation, 2015. [9] Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, and Lijuan Wang. Git: A generative image-to-text transformer for vision and language, 2022. [10] Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. React: Synergizing reasoning and acting in language models, 2023. [11] Xi Ye and Greg Durrett. The unreliability of explanations in few-shot prompting for textual reasoning, 2022. [12] Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, and Armen Aghajanyan. Scaling autoregressive multi-modal models: Pretraining and instruction tuning, 2023. [13] Wenqi Zhang, Yongliang Shen, Weiming Lu, and Yueting Zhuang. Data-copilot: Bridging billions of data and humans with autonomous workflow, 2023. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv

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