Prizes And Challenges
Week
1
26/08 - 01/09 🔴
Prompt Engineering
Week
2
02/09 - 15/09 🔴
RAG
Week
3
19/09 - 29/09 🟡
Soon...
🏆 Awards
We're offering a total prize pool of ₹2,00,000! Here's how it breaks down:
1st Place: ₹50,000
2nd Place: ₹40,000
3rd Place: ₹25,000
4th Place: ₹15,000
5th to 10th Place: ₹10,000 each
11th to 50th Place: Gift Cards
🎥 Content Creation Bonus:
We're giving away a total of ₹60,000 for the best content created during the competition! The top 10 content creators will be rewarded for their efforts. Share your journey, insights, or tutorials about the project, the competition, or Langflow in general. This is your chance to win while helping others learn!
📅 Important Dates
Start Date: August 26, 2024
Submission Deadline: September 1, 2024, 23:59 IST
Results Announcement: September 4, 2024
💡 The Challenge:
Your task is to create a flow in Langflow that demonstrates advanced prompt engineering techniques. The flow should:
Process the provided "Prompt Engineering Guide" text file
Extract the content
Generate a concise yet comprehensive TLDR (Too Long; Didn't Read) summary
⚙️ Installation and configuration:
If you already have Python installed, start with pip :
python -m pip install langflowConsult the official documentation.
If you need help installing Langflow, join our Discord server and we'll help you get started!
🔎 Reference flow
The project below will be used as a reference for creating the summary and evaluation. The figure below illustrates the flow with the objective of the challenge, where the output will be to create a summary of the file content:
The illustration below demonstrates how the summary will be evaluated, where you can simulate your project's score:
When running the flow with all the components connected, you will see an output with the summary of the extracted text and the evaluation score.
Below are the reference flow and the file with content to summarize:
Prompt Engineering Guide.md
IA Devs India - Week 1.json
📝 Evaluation Criteria:
Primary Metric: The generated TLDR will be evaluated against 10 questions for similarity. Your summary should be comprehensive enough to answer these questions accurately.
Secondary Metric: The number of tokens in the generated answer will be used as a tiebreaker. Shorter, more concise summaries that still capture all necessary information will be favored.
📊 Judging Process:
We'll use the LangWatch component to track and evaluate your submissions.
At the end of the submission period, we'll run evaluations on the LangWatch traces to determine the winners based on the above criteria.
🚀 Submission
Create your flow in Langflow, focusing on innovative prompt engineering techniques
Use the LangWatch component provided in the template flow.
Run your flow using the provided "Prompt_Engineering_Guide_EN" file
The LangWatch trace generated is your official submission
💡 Tips:
Experiment with advanced prompt engineering techniques such as few-shot learning, chain-of-thought prompting, or other methods to improve your summary's quality and conciseness.
Consider the trade-off between comprehensiveness and brevity in your summary.
Test your summary against potential questions to ensure it captures the most crucial information.
Remember, this challenge is not just about summarization, but about showcasing your prompt engineering skills to create the most effective and efficient prompts for this task!
📌 Remember:
The LangWatch trace is your official submission
Make sure to include your correct details in the LangWatch component for identification
Don't forget to use the hashtags #Langflow #IADevsIndia when sharing your progress or content!
💳 Prize Distribution:
Cash prizes will be distributed via bank transfer. Gift cards will be awarded for some positions as well.
Are you ready to showcase your prompt engineering skills and compete for amazing prizes?
Join us for IA Devs India Week 1 and let's push the boundaries of AI together! Good luck to all participants! (edited)
Week
1
26/08 - 01/09 🔴
Prompt Engineering
Week
2
02/09 - 15/09 🔴
RAG
Week
3
19/09 - 29/09 🟡
Soon...
🏆 Awards
We're offering a total prize pool of ₹2,00,000! Here's how it breaks down:
1st Place: ₹50,000
2nd Place: ₹40,000
3rd Place: ₹25,000
4th Place: ₹15,000
5th to 10th Place: ₹10,000 each
11th to 50th Place: Gift Cards
🎥 Content Creation Bonus:
We're giving away a total of ₹60,000 for the best content created during the competition! The top 10 content creators will be rewarded for their efforts. Share your journey, insights, or tutorials about the project, the competition, or Langflow in general. This is your chance to win while helping others learn!
📅 Important Dates
Start Date: August 26, 2024
Submission Deadline: September 1, 2024, 23:59 IST
Results Announcement: September 4, 2024
💡 The Challenge:
Your task is to create a flow in Langflow that demonstrates advanced prompt engineering techniques. The flow should:
Process the provided "Prompt Engineering Guide" text file
Extract the content
Generate a concise yet comprehensive TLDR (Too Long; Didn't Read) summary
⚙️ Installation and configuration:
If you already have Python installed, start with pip :
python -m pip install langflowConsult the official documentation.
If you need help installing Langflow, join our Discord server and we'll help you get started!
🔎 Reference flow
The project below will be used as a reference for creating the summary and evaluation. The figure below illustrates the flow with the objective of the challenge, where the output will be to create a summary of the file content:
The illustration below demonstrates how the summary will be evaluated, where you can simulate your project's score:
When running the flow with all the components connected, you will see an output with the summary of the extracted text and the evaluation score.
Below are the reference flow and the file with content to summarize:
Prompt Engineering Guide.md
IA Devs India - Week 1.json
📝 Evaluation Criteria:
Primary Metric: The generated TLDR will be evaluated against 10 questions for similarity. Your summary should be comprehensive enough to answer these questions accurately.
Secondary Metric: The number of tokens in the generated answer will be used as a tiebreaker. Shorter, more concise summaries that still capture all necessary information will be favored.
📊 Judging Process:
We'll use the LangWatch component to track and evaluate your submissions.
At the end of the submission period, we'll run evaluations on the LangWatch traces to determine the winners based on the above criteria.
🚀 Submission
Create your flow in Langflow, focusing on innovative prompt engineering techniques
Use the LangWatch component provided in the template flow.
Run your flow using the provided "Prompt_Engineering_Guide_EN" file
The LangWatch trace generated is your official submission
💡 Tips:
Experiment with advanced prompt engineering techniques such as few-shot learning, chain-of-thought prompting, or other methods to improve your summary's quality and conciseness.
Consider the trade-off between comprehensiveness and brevity in your summary.
Test your summary against potential questions to ensure it captures the most crucial information.
Remember, this challenge is not just about summarization, but about showcasing your prompt engineering skills to create the most effective and efficient prompts for this task!
📌 Remember:
The LangWatch trace is your official submission
Make sure to include your correct details in the LangWatch component for identification
Don't forget to use the hashtags #Langflow #IADevsIndia when sharing your progress or content!
💳 Prize Distribution:
Cash prizes will be distributed via bank transfer. Gift cards will be awarded for some positions as well.
Are you ready to showcase your prompt engineering skills and compete for amazing prizes?
Join us for IA Devs India Week 1 and let's push the boundaries of AI together! Good luck to all participants! (edited)
Week
1
26/08 - 01/09 🔴
Prompt Engineering
Week
2
02/09 - 15/09 🔴
RAG
Week
3
19/09 - 29/09 🟡
Soon...
🏆 Awards
We're offering a total prize pool of ₹2,00,000! Here's how it breaks down:
1st Place: ₹50,000
2nd Place: ₹40,000
3rd Place: ₹25,000
4th Place: ₹15,000
5th to 10th Place: ₹10,000 each
11th to 50th Place: Gift Cards
🎥 Content Creation Bonus:
We're giving away a total of ₹60,000 for the best content created during the competition! The top 10 content creators will be rewarded for their efforts. Share your journey, insights, or tutorials about the project, the competition, or Langflow in general. This is your chance to win while helping others learn!
📅 Important Dates
Start Date: August 26, 2024
Submission Deadline: September 1, 2024, 23:59 IST
Results Announcement: September 4, 2024
💡 The Challenge:
Your task is to create a flow in Langflow that demonstrates advanced prompt engineering techniques. The flow should:
Process the provided "Prompt Engineering Guide" text file
Extract the content
Generate a concise yet comprehensive TLDR (Too Long; Didn't Read) summary
⚙️ Installation and configuration:
If you already have Python installed, start with pip :
python -m pip install langflowConsult the official documentation.
If you need help installing Langflow, join our Discord server and we'll help you get started!
🔎 Reference flow
The project below will be used as a reference for creating the summary and evaluation. The figure below illustrates the flow with the objective of the challenge, where the output will be to create a summary of the file content:
The illustration below demonstrates how the summary will be evaluated, where you can simulate your project's score:
When running the flow with all the components connected, you will see an output with the summary of the extracted text and the evaluation score.
Below are the reference flow and the file with content to summarize:
Prompt Engineering Guide.md
IA Devs India - Week 1.json
📝 Evaluation Criteria:
Primary Metric: The generated TLDR will be evaluated against 10 questions for similarity. Your summary should be comprehensive enough to answer these questions accurately.
Secondary Metric: The number of tokens in the generated answer will be used as a tiebreaker. Shorter, more concise summaries that still capture all necessary information will be favored.
📊 Judging Process:
We'll use the LangWatch component to track and evaluate your submissions.
At the end of the submission period, we'll run evaluations on the LangWatch traces to determine the winners based on the above criteria.
🚀 Submission
Create your flow in Langflow, focusing on innovative prompt engineering techniques
Use the LangWatch component provided in the template flow.
Run your flow using the provided "Prompt_Engineering_Guide_EN" file
The LangWatch trace generated is your official submission
💡 Tips:
Experiment with advanced prompt engineering techniques such as few-shot learning, chain-of-thought prompting, or other methods to improve your summary's quality and conciseness.
Consider the trade-off between comprehensiveness and brevity in your summary.
Test your summary against potential questions to ensure it captures the most crucial information.
Remember, this challenge is not just about summarization, but about showcasing your prompt engineering skills to create the most effective and efficient prompts for this task!
📌 Remember:
The LangWatch trace is your official submission
Make sure to include your correct details in the LangWatch component for identification
Don't forget to use the hashtags #Langflow #IADevsIndia when sharing your progress or content!
💳 Prize Distribution:
Cash prizes will be distributed via bank transfer. Gift cards will be awarded for some positions as well.
Are you ready to showcase your prompt engineering skills and compete for amazing prizes?
Join us for IA Devs India Week 1 and let's push the boundaries of AI together! Good luck to all participants! (edited)
Week
1
26/08 - 01/09 🔴
Prompt Engineering
Week
2
02/09 - 15/09 🔴
RAG
Week
3
19/09 - 29/09 🟡
Soon...
🏆 Awards
We're offering a total prize pool of ₹2,00,000! Here's how it breaks down:
1st Place: ₹50,000
2nd Place: ₹40,000
3rd Place: ₹25,000
4th Place: ₹15,000
5th to 10th Place: ₹10,000 each
11th to 50th Place: Gift Cards
🎥 Content Creation Bonus:
We're giving away a total of ₹60,000 for the best content created during the competition! The top 10 content creators will be rewarded for their efforts. Share your journey, insights, or tutorials about the project, the competition, or Langflow in general. This is your chance to win while helping others learn!
📅 Important Dates
Start Date: August 26, 2024
Submission Deadline: September 1, 2024, 23:59 IST
Results Announcement: September 4, 2024
💡 The Challenge:
Your task is to create a flow in Langflow that demonstrates advanced prompt engineering techniques. The flow should:
Process the provided "Prompt Engineering Guide" text file
Extract the content
Generate a concise yet comprehensive TLDR (Too Long; Didn't Read) summary
⚙️ Installation and configuration:
If you already have Python installed, start with pip :
python -m pip install langflowConsult the official documentation.
If you need help installing Langflow, join our Discord server and we'll help you get started!
🔎 Reference flow
The project below will be used as a reference for creating the summary and evaluation. The figure below illustrates the flow with the objective of the challenge, where the output will be to create a summary of the file content:
The illustration below demonstrates how the summary will be evaluated, where you can simulate your project's score:
When running the flow with all the components connected, you will see an output with the summary of the extracted text and the evaluation score.
Below are the reference flow and the file with content to summarize:
Prompt Engineering Guide.md
IA Devs India - Week 1.json
📝 Evaluation Criteria:
Primary Metric: The generated TLDR will be evaluated against 10 questions for similarity. Your summary should be comprehensive enough to answer these questions accurately.
Secondary Metric: The number of tokens in the generated answer will be used as a tiebreaker. Shorter, more concise summaries that still capture all necessary information will be favored.
📊 Judging Process:
We'll use the LangWatch component to track and evaluate your submissions.
At the end of the submission period, we'll run evaluations on the LangWatch traces to determine the winners based on the above criteria.
🚀 Submission
Create your flow in Langflow, focusing on innovative prompt engineering techniques
Use the LangWatch component provided in the template flow.
Run your flow using the provided "Prompt_Engineering_Guide_EN" file
The LangWatch trace generated is your official submission
💡 Tips:
Experiment with advanced prompt engineering techniques such as few-shot learning, chain-of-thought prompting, or other methods to improve your summary's quality and conciseness.
Consider the trade-off between comprehensiveness and brevity in your summary.
Test your summary against potential questions to ensure it captures the most crucial information.
Remember, this challenge is not just about summarization, but about showcasing your prompt engineering skills to create the most effective and efficient prompts for this task!
📌 Remember:
The LangWatch trace is your official submission
Make sure to include your correct details in the LangWatch component for identification
Don't forget to use the hashtags #Langflow #IADevsIndia when sharing your progress or content!
💳 Prize Distribution:
Cash prizes will be distributed via bank transfer. Gift cards will be awarded for some positions as well.
Are you ready to showcase your prompt engineering skills and compete for amazing prizes?
Join us for IA Devs India Week 1 and let's push the boundaries of AI together! Good luck to all participants! (edited)
