2016 Mobile Ad Summit

Pitching event in Singapore


RSVPs Closed
Text goes here
X
Logo
Logo
Milestones
Eligibility Criteria
Judging Criteria
FAQs
Applications Closed
aaca1bc0804da51faf355d537f4c135b.Meta_Logo_positive_White_RGB-1.png
  • Milestones
  • Eligibility Criteria
  • Judging Criteria
  • FAQs
  • Submit proposal

The largest Meta Llama Hackathon in Asia Pacific

Prize money up to US $100,000

Friday
, 
September 
27
 at 
7:00pm
RSVPs Closed
Text goes here
X

Overview:


In support of Singapore’s National AI Strategy 2.0., Meta is launching its APAC AI Accelerator in Singapore - focused on identifying and celebrating responsible uses of Meta Llama for public good.


Building off a legacy of openly releasing tools to benefit the global community, we introduced Meta Llama 3.1 in July 2024. This followed the release of Meta Llama 3 in April 2024, and Llama 2 in 2023.


Since their release, our Llama models have had over 300 million download requests and we know developers in Singapore are already creating incredible tools with these models.


We are committed to identifying and supporting the use of these models to drive economic and social impact. So, if you are currently using Llama or intend to build on Llama, we would love to hear from you. 



Applications Closed

Apply for the semi-finals in Singapore by

September 09, 2024

Applications Closed
Text goes here
X

Winner participates in the finals in Singapore


Prize money up to US $100,000

Meta Llama Competition - Phase 1

in Pakistan

Selection Process 

Proposals to be submitted

Shortlisted participants to be invited to an

in-person pitch

Pitching event at NICAT, NASTP, Old Airport Road, Chaklala Cantt, Rawalpindi I Winner proceeds to Regional Hackathon Finals in Singapore

Regional Hackathon Finals in Singapore

Key Milestones

Mrs Robinson

August 09, 2024

August 07, 2024

August 16, 2024


August 20, 2024


October 02, 2024

Click here to start your application process

Judges

Mr. John

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Ms. Laura

Lorem ipsum dolor sit amet, consectetur adipiscing elit, unt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida. Risus cviverr https://Lorem ipsum dolor sit amet

Mr. John

Lorem ipsum dolor sit amet, consectetur adipiscing elit, unt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida. Risus cviverr https://Lorem ipsum dolor sit amet

Ms. Laura

Lorem ipsum dolor sit amet, consectetur adipiscing elit, unt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida. Risus cviverr https://Lorem ipsum dolor sit amet

Eligibility Criteria

Only individuals affiliated with a valid business, non-profit organization, academic institution, or research institute (each an “Organization” and collectively “Organizations”) that has been operational for at least 1 year can apply to participate.

Judging Criteria

All proposals will be evaluated using a selection criteria that assesses:


  • Technical Feasibility: Llama is a central part of the proposed solution. There is a clear indication for how Llama will be used and is feasible given the capabilities of the model.
  • Impact: The proposed solution articulates a vision for how their solution impacts the broader problem space and provides economic/social benefit. This might include how the solution works across geographies, addresses the needs of additional communities, or similar.
  • Responsibility: Where applicable, the proposed solution articulates how it will address responsible practices with regard to data security, privacy, and replicability. Ideal winners will be able to demonstrate how they utilized the Responsible Use Guidelines in the development of their project or product.

FAQs

  • What type of applicants are you seeking for this program?

We are open to any business, non -profit, academic institution, and research institution that has applied to Llama or other large language models. For specific questions on what qualifies as eligible organization type, please refer to the program’s Terms & Conditions.

  • When are applications due?

Applications will open [Date and Time] and are due by [Time] on [Date]

  • Can my application be submitted in my local language?

All applications must be submitted in English. For additional information regarding submission requirements please refer to the Terms & Conditions.

  • I am an AI researcher with a compelling technical application, but less familiar with the social impact problem areas. Can I still apply?

Yes! As long as your organization qualifies as an eligible applicant as defined by the Terms & Conditions you are welcome to submit a proposal.

  • What are the expectations regarding data sharing and model weights sharing from model trained/fine-tuned on non-public data?

You are not obliged to disclose the trained model weights, or the data employed in its training.

  • What kind of files should I upload to the application?

We will not accept files uploaded to the application. You can input text or url links to external materials, including links to news articles, blogs, or other public resources describing your use of Llama or any other large language models.

  • If I get selected in country competition who will take care of my travel and accommodation for Regional Hackathon

Meta will sponsor travel and accommodation for the winners from respective countres to Singapore for the Regional Hackathon.

Overview:

Recent breakthroughs in AI, and generative AI in particular, have captured the public’s imagination and demonstrated they have the potential to help people create a new era of economic and social opportunity, and give individuals, creators, and organizations new ways to express themselves and connect with people.


Building off a legacy of openly releasing tools to benefit the global community, 
we introduced Meta Llama 2 in July 2023 and this past April we launched the next generation of our open source large language model – Meta Llama 3. This model demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.


Since their release, Llama 2 and Llama 3 have had over 180 million download requests and we know developers are already creating incredible tools with these models.


We are committed to identifying and supporting the use of these models to drive economic and social impact. So, if you are currently using Llama or intend to build on Llama, we would love to hear from you. 


Submit your proposal for the Pakistan Llama competition now

Apply for the 


semi-finals in Pakistan by

August 09, 2024

RSVPs Closed
Text goes here
X

Winner competes in the finals in Singapore*
Prize money up to US $100,000

*Travel and accommodation to Singapore

sponsored by Meta

Meta Llama Pitching Event in Singapore

Selection Process

Proposals to be submitted

Shortlisted participants to be informed and invited to an in-person pitch

Pitching event held at Meta’s Singapore office


Winner proceeds to Regional Hackathon Finals in Singapore

Regional Hackathon Finals in Singapore

Key Milestones

Mrs Robinson

September 09, 2024

August 07, 2024

September 18, 2024


September 24, 2024



October 01-03, 2024

Applications Closed

Judges

Mr. John

Lorem ipsum dolor sit amet, consectetur adipiscing elit, unt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida. Risus cviverr https://Lorem ipsum dolor sit amet

Ms. Laura

Lorem ipsum dolor sit amet, consectetur adipiscing elit, unt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida. Risus cviverr https://Lorem ipsum dolor sit amet

Mr. John

Lorem ipsum dolor sit amet, consectetur adipiscing elit, unt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida. Risus cviverr https://Lorem ipsum dolor sit amet

Ms. Laura

Lorem ipsum dolor sit amet, consectetur adipiscing elit, unt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida. Risus cviverr https://Lorem ipsum dolor sit amet

Eligibility Criteria

Only individuals affiliated with a valid business, non-profit organization, academic institution, or research institute (each an “Organization” and collectively “Organizations”) that has been operational for at least 1 year can apply to participate.

Judging Criteria

All proposals will be evaluated using a selection criteria that assesses:


  • Technical Feasibility: Llama is a central part of the proposed solution. There is a clear indication for how Llama will be used and is feasible given the capabilities of the model.
  • Impact: The proposed solution articulates a vision for how their solution impacts the broader problem space and provides economic/social benefit. This might include how the solution works across geographies, addresses the needs of additional communities, or similar.
  • Responsibility: Where applicable, the proposed solution articulates how it will address responsible practices with regard to data security, privacy, and replicability. Ideal winners will be able to demonstrate how they utilized the Responsible Use Guidelines in the development of their project or product.

FAQs

  • What type of applicants are you seeking for this program?

We are open to any business, non -profit, academic institution, and research institution that has applied to Llama or other large language models. For specific questions on what qualifies as eligible organization type, please refer to the program’s Terms & Conditions.

  • When are applications due?

Applications will open [Date and Time] and are due by [Time] on [Date]

  • Can my application be submitted in my local language?

All applications must be submitted in English. For additional information regarding submission requirements please refer to the Terms & Conditions.

  • I am an AI researcher with a compelling technical application, but less familiar with the social impact problem areas. Can I still apply?

Yes! As long as your organization qualifies as an eligible applicant as defined by the Terms & Conditions you are welcome to submit a proposal.

  • What are the expectations regarding data sharing and model weights sharing from model trained/fine-tuned on non-public data?

You are not obliged to disclose the trained model weights, or the data employed in its training.

  • What kind of files should I upload to the application?

We will not accept files uploaded to the application. You can input text or url links to external materials, including links to news articles, blogs, or other public resources describing your use of Llama or any other large language models.

  • If I get selected in country competition who will take care of my travel and accommodation for Regional Hackathon

Meta will sponsor travel and accommodation for the winners from respective countres to Singapore for the Regional Hackathon.

Overview:

Recent breakthroughs in AI, and generative AI in particular, have captured the public’s imagination and demonstrated they have the potential to help people create a new era of economic and social opportunity, and give individuals, creators, and organizations new ways to express themselves and connect with people.


Building off a legacy of openly releasing tools to benefit the global community, 
we introduced Meta Llama 2 in July 2023 and this past April we launched the next generation of our open source large language model – Meta Llama 3. This model demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.


Since their release, Llama 2 and Llama 3 have had over 180 million download requests and we know developers are already creating incredible tools with these models.


We are committed to identifying and supporting the use of these models to drive economic development and social impact.

Apply for semi finals in South Korea by

August 24, 2024

RSVPs Closed
Text goes here
X

Winner competes in the finals in Singapore*
Prize money up to US $100,000

*Travel and accommodation to Singapore sponsored by Meta

Overview:

Recent breakthroughs in AI, and generative AI in particular, have captured the public’s imagination and demonstrated they have the potential to help people create a new era of economic and social opportunity, and give individuals, creators, and organizations new ways to express themselves and connect with people.


Building off a legacy of openly releasing tools to benefit the global community, 
we introduced Meta Llama 2 in July 2023 and this past April we launched the next generation of our open source large language model – Meta Llama 3. This model demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.


Since their release, Llama 2 and Llama 3 have had over 180 million download requests and we know developers are already creating incredible tools with these models.


We are committed to identifying and supporting the use of these models to drive economic development and social impact.

Apply for semi finals in South Korea by

August 24, 2024

RSVPs Closed
Text goes here
X

Winner competes in the finals in Singapore*
Prize money up to US $100,000

*Travel and accommodation to Singapore sponsored by Meta

Meta Llama Competition - Phase 1

in South Korea

Selection Process and Steps

Proposals to be submitted

Shortlisting and Review of proposals

Notification to Winner

Regional Hackathon Finals in Singapore

Tentative Deadlines

Mrs Robinson

July 24, 2024

August 07, 2024

August 7, 2024

August 10, 2024

October 02, 2024

Click here to start your application process

Judges

Koo Sengmeng (邱胜铭)

Head of LearnAI, AI Singapore®


Senior Deputy Director, Office of Deputy President (Research & Technology), National University of Singapore


Koo Sengmeng has over 25 years of experience in the private and public sectors, and now leads LearnAl program at Al Singapore. His work has been instrumental in advancing the Asia Pacific technology sector, contributing to the growth of companies like SEA Limited and establishing NVIDIA AI Technology Center HQ in Singapore. Sengmeng also played a pivotal role in developing Asia's first Model Al Governance Framework and the Global Data Commons.

Damian Kim

Managing Director, Singapore | Meta


Damian Kim is the Managing Director at Meta, Singapore, leading the company's efforts to build communities and support businesses. Previously, he was Head of Gaming for the Greater China Region, driving the global expansion of mobile gaming companies. Before Meta, Damian held key roles at Microsoft, overseeing partnerships and the launch of the Surface product category in APAC. He holds a B.B.A. from the University of Michigan.


 

Mohan Belani

Co-founder & CEO | e27

 

Mohan Belani is the Co-founder and CEO of e27, a startup and tech ecosystem platform focused on helping startup founders build and grow their companies. He believes that startups can make the world a better place, and in order for Southeast Asia's tech ecosystem to be relevant, it needs to be driven by sustainable and impactful companies solving problems at scale. He enjoys working with Founders and helping them alleviate the challenges of building great companies specifically around the areas of talent, funding and market access.

Philipp Kandal

Chief Product Officer | Grab


Philipp Kandal, Grab's Chief Product Officer, leads the Product, Design, Analytics, and Geo business teams, focusing on delivering trusted and loved products. He joined Grab in 2019 to lead the engineering and data science teams for Geo, eventually heading the entire Geo organization. Under his leadership, Grab launched GrabMaps. His scope was expanded to also oversee the Fulfillment product and tech teams in 2022. Prior to Grab, Philipp co-founded Skobbler, later acquired by Telenav, and served as Senior VP for Engineering, where his team focused on connected car space innovations.

Goh Pei Sheng

Vice President I Digital Industry Singapore

 

Goh Pei Sheng is presently the Vice President (Digital Industry Singapore) in EDB, and oversees the promotion and development of digital technology sector in Singapore, specifically fast growth Digital companies from China, India, and Southeast Asia. He also oversees global consumer internet platforms and investments in Data Centres in Singapore.

Philipp Kandal

Chief Product Officer | Grab


Philipp Kandal, Grab's Chief Product Officer, leads the Product, Design, Analytics, and Geo business teams, focusing on delivering trusted and loved products. He joined Grab in 2019 to lead the engineering and data science teams for Geo, eventually heading the entire Geo organization. Under his leadership, Grab launched GrabMaps. His scope was expanded to also oversee the Fulfillment product and tech teams in 2022. Prior to Grab, Philipp co-founded Skobbler, later acquired by Telenav, and served as Senior VP for Engineering, where his team focused on connected car space innovations.

Eligibility Criteria

Any individuals/teams that:

1) Are building on Llama or other Large Language Models and intend to pivot to Llama

2) Have an existing product that leverages/intends to leverage Large Language Models to drive social and/or economic impact

3) Have technical resources and expertise to implement the proposed solution on Llama

4) Are affiliated with a:

⁠•⁠  Valid business 

•⁠  Non-profit organization

•⁠  Academic or Research institute as staff (not students)

*The organization has to be operational for at least 1 year

*Individuals affiliated with any government entity are not eligible to apply

Judging Criteria

All proposals will be evaluated using a selection criteria that assesses:


  • Technical Feasibility: Llama is a central part of the proposed solution. There is a clear indication for how Llama will be used and is feasible given the capabilities of the model.
  • Impact: The proposed solution articulates a vision for how their solution impacts the broader problem space and provides economic/social benefit. This might include how the solution works across geographies, addresses the needs of additional communities, or similar.
  • Responsibility: The proposed solution articulates how it addresses responsible practices with regard to data security, privacy, and replicability. Ideal winners will be able to demonstrate how they utilized the Responsible Use Guidelines in the development of their project or product.

All proposals will be evaluated using a selection criteria that assesses:


  • Technical Feasibility: Llama is a central part of the proposed solution. There is a clear indication for how Llama will be used and is feasible given the capabilities of the model.
  • Impact: The proposed solution articulates a vision for how their solution impacts the broader problem space and provides economic/social benefit. This might include how the solution works across geographies, addresses the needs of additional communities, or similar.
  • Responsibility: Where applicable, the proposed solution articulates how it will address responsible practices with regard to data security, privacy, and replicability. Ideal winners will be able to demonstrate how they utilized the Responsible Use Guidelines in the development of their project or product.

FAQs

  • What type of applicants are you seeking for this program?

We are open to any business, non -profit, academic institution, and research institution that has applied to Llama or other large language models. For specific questions on what qualifies as eligible organization type, please refer to the program’s Terms & Conditions.

  • When are applications due?

Applications will open [Date and Time] and are due by [Time] on [Date]

  • Can my application be submitted in my local language?

All applications must be submitted in English. For additional information regarding submission requirements please refer to the Terms & Conditions.

  • I am an AI researcher with a compelling technical application, but less familiar with the social impact problem areas. Can I still apply?

Yes! As long as your organization qualifies as an eligible applicant as defined by the Terms & Conditions you are welcome to submit a proposal.

  • What are the expectations regarding data sharing and model weights sharing from model trained/fine-tuned on non-public data?

You are not obliged to disclose the trained model weights, or the data employed in its training.

  • What kind of files should I upload to the application?

We will not accept files uploaded to the application. You can input text or url links to external materials, including links to news articles, blogs, or other public resources describing your use of Llama or any other large language models.

  • If I get selected in country competition who will take care of my travel and accommodation for Regional Hackathon

Meta will sponsor travel and accommodation for the winners from respective countres to Singapore for the Regional Hackathon.

Overview:

Recent breakthroughs in AI, and generative AI in particular, have captured the public’s imagination and demonstrated they have the potential to help people create a new era of economic and social opportunity, and give individuals, creators, and organizations new ways to express themselves and connect with people.


Building off a legacy of openly releasing tools to benefit the global community, 
we introduced Meta Llama 2 in July 2023 and this past April we launched the next generation of our open source large language model – Meta Llama 3. This model demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.


Since their release, Llama 2 and Llama 3 have had over 180 million download requests and we know developers are already creating incredible tools with these models.


We are committed to identifying and supporting the use of these models to drive economic development and social impact.

Apply for semi finals in South Korea by

August 24, 2024

RSVPs Closed
Text goes here
X

Winner competes in the finals in Singapore*
Prize money up to US $100,000

*Travel and accommodation to Singapore sponsored by Meta

Overview:

Recent breakthroughs in AI, and generative AI in particular, have captured the public’s imagination and demonstrated they have the potential to help people create a new era of economic and social opportunity, and give individuals, creators, and organizations new ways to express themselves and connect with people.


Building off a legacy of openly releasing tools to benefit the global community, 
we introduced Meta Llama 2 in July 2023 and this past April we launched the next generation of our open source large language model – Meta Llama 3. This model demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.


Since their release, Llama 2 and Llama 3 have had over 180 million download requests and we know developers are already creating incredible tools with these models.


We are committed to identifying and supporting the use of these models to drive economic development and social impact.

Apply for semi finals in South Korea by

August 24, 2024

RSVPs Closed
Text goes here
X

Winner competes in the finals in Singapore*
Prize money up to US $100,000

*Travel and accommodation to Singapore sponsored by Meta

Meta Llama Competition - Phase 1

in South Korea

Selection Process and Steps

Proposals to be submitted

Shortlisting and Review of proposals

Notification to Winner

Regional Hackathon Finals in Singapore

Tentative Deadlines

Mrs Robinson

July 24, 2024

August 07, 2024

August 7, 2024

August 10, 2024

October 02, 2024

Click here to start your application process

Judges

Koo Sengmeng (邱胜铭)

Head of LearnAI, AI Singapore®


Senior Deputy Director, Office of Deputy President (Research & Technology), National University of Singapore


Koo Sengmeng has over 25 years of experience in the private and public sectors, and now leads LearnAl program at Al Singapore. His work has been instrumental in advancing the Asia Pacific technology sector, contributing to the growth of companies like SEA Limited and establishing NVIDIA AI Technology Center HQ in Singapore. Sengmeng also played a pivotal role in developing Asia's first Model Al Governance Framework and the Global Data Commons.

Damian Kim

Managing Director, Singapore | Meta


Damian Kim is the Managing Director at Meta, Singapore, leading the company's efforts to build communities and support businesses. Previously, he was Head of Gaming for the Greater China Region, driving the global expansion of mobile gaming companies. Before Meta, Damian held key roles at Microsoft, overseeing partnerships and the launch of the Surface product category in APAC. He holds a B.B.A. from the University of Michigan.


 

Mohan Belani

Co-founder & CEO | e27

 

Mohan Belani is the Co-founder and CEO of e27, a startup and tech ecosystem platform focused on helping startup founders build and grow their companies. He believes that startups can make the world a better place, and in order for Southeast Asia's tech ecosystem to be relevant, it needs to be driven by sustainable and impactful companies solving problems at scale. He enjoys working with Founders and helping them alleviate the challenges of building great companies specifically around the areas of talent, funding and market access.

Philipp Kandal

Philipp Kandal, Grab's Chief Product Officer, leads the Product, Design, Analytics, and Geo business teams, focusing on delivering trusted and loved products. He joined Grab in 2019 to lead the engineering and data science teams for Geo, eventually heading the entire Geo organization. Under his leadership, Grab launched GrabMaps. His scope was expanded to also oversee the Fulfillment product and tech teams in 2022. Prior to Grab, Philipp co-founded Skobbler, later acquired by Telenav, and served as Senior VP for Engineering, where his team focused on connected car space innovations.

Eligibility Criteria

Any individuals/teams that:

1) Are building on Llama or other Large Language Models and intend to pivot to Llama

2) Have an existing product that leverages/intends to leverage Large Language Models to drive social and/or economic impact

3) Have technical resources and expertise to implement the proposed solution on Llama

4) Are affiliated with a:

⁠•⁠  Valid business 

•⁠  Non-profit organization

•⁠  Academic or Research institute as staff (not students)

*The organization has to be operational for at least 1 year

*Individuals affiliated with any government entity are not eligible to apply

Judging Criteria

All proposals will be evaluated using a selection criteria that assesses:


  • Technical Feasibility: Llama is a central part of the proposed solution. There is a clear indication for how Llama will be used and is feasible given the capabilities of the model.
  • Impact: The proposed solution articulates a vision for how their solution impacts the broader problem space and provides economic/social benefit. This might include how the solution works across geographies, addresses the needs of additional communities, or similar.
  • Responsibility: The proposed solution articulates how it addresses responsible practices with regard to data security, privacy, and replicability. Ideal winners will be able to demonstrate how they utilized the Responsible Use Guidelines in the development of their project or product.

All proposals will be evaluated using a selection criteria that assesses:


  • Technical Feasibility: Llama is a central part of the proposed solution. There is a clear indication for how Llama will be used and is feasible given the capabilities of the model.
  • Impact: The proposed solution articulates a vision for how their solution impacts the broader problem space and provides economic/social benefit. This might include how the solution works across geographies, addresses the needs of additional communities, or similar.
  • Responsibility: Where applicable, the proposed solution articulates how it will address responsible practices with regard to data security, privacy, and replicability. Ideal winners will be able to demonstrate how they utilized the Responsible Use Guidelines in the development of their project or product.

FAQs

  • What type of applicants are you seeking for this program?

We are open to any business, non -profit, academic institution, and research institution that has applied to Llama or other large language models. For specific questions on what qualifies as eligible organization type, please refer to the program’s Terms & Conditions.

  • When are applications due?

Applications will open [Date and Time] and are due by [Time] on [Date]

  • Can my application be submitted in my local language?

All applications must be submitted in English. For additional information regarding submission requirements please refer to the Terms & Conditions.

  • I am an AI researcher with a compelling technical application, but less familiar with the social impact problem areas. Can I still apply?

Yes! As long as your organization qualifies as an eligible applicant as defined by the Terms & Conditions you are welcome to submit a proposal.

  • What are the expectations regarding data sharing and model weights sharing from model trained/fine-tuned on non-public data?

You are not obliged to disclose the trained model weights, or the data employed in its training.

  • What kind of files should I upload to the application?

We will not accept files uploaded to the application. You can input text or url links to external materials, including links to news articles, blogs, or other public resources describing your use of Llama or any other large language models.

  • If I get selected in country competition who will take care of my travel and accommodation for Regional Hackathon

Meta will sponsor travel and accommodation for the winners from respective countres to Singapore for the Regional Hackathon.

Partners

FAQs

  • What type of applicants are you seeking for this program?

Please refer to the eligibility criteria above.

  • What happens after I submit my application?

Applications will close on September 09, 2024. Shortlisted participants will be informed by September 18, 2024, and invited to an in-person pitch event on September 24, 2024.

  • Can I submit my application in a language other than English?

All applications must be submitted in English.

  • What are the expectations regarding data sharing and model weights sharing from model trained/fine-tuned on non-public data?

You are not obliged to disclose the trained model weights, or the data employed in its training.

  • What supporting documents should I upload to the application?

You can input text or url links to external materials, including links to documents, news articles, blogs, or other public resources describing your use of Llama or other Large Language Models.

Applications Closed!

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Applications Closed!