Model: marroyo777/bge-99GPT-v1
Author: marroyo777
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1416, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:marroyo777/bge-99GPT-v1, base_model:finetune:marroyo777/bge-99GPT-v1, model-index, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: marroyo777/bge-99GPT-v1
Card metadata: base_model: marroyo777/bge-99GPT-v1
library_name: sentence-transformers
metrics: cosine_accuracy, dot_accuracy, manhattan_accuracy, euclidean_accuracy, max_accuracy
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1416, loss:MultipleNegativesRankingLoss
widget: source_sentence: Who wrote the blog Sprint 7: Iterating upon iterations?
sentences: Title: From Insights to Impact: 99P Labs Collaborates with BDAA to Foster Data Visualization Talent
Published: March, 2023
Author(s): Ryan Lingo
Claps: 0
Comments: 0
Word Count: 1537
URL: https://medium.com/99p-labs/from-insights-to-impact-99p-labs-collaborates-with-bdaa-to-foster-data-visualization-talent-26e22a76d1df

In the spring of 2023, 99P Labs sponsored a data visualization challenge in collaboration with BDAA, the Big Data and Analytics Association at Ohio State University. The challenge lasted two weeks and began with a kickoff event where the 99P Labs team went to the weekly Tuesday BDAA meeting and laid out the motivation and starting guardrails for the challenge. The challenge allowed 99P Labs to connect with the next generation of data professionals and support their growth and development. The data visualization challenge was open to all BDAA members and lasted two weeks. The teams used a wide range of tools and software to create their visualizations and dashboards, including Streamlit, Plotly Dash, and Tableau. The winning entries were highlighted, and the challenge was a valuable experience for 99P Labs. The challenge was not just an opportunity for the students to learn, but it was also an opportunity for 99P Labs to connect with the next generation of data professionals and help build their developer community. The collaboration with BDAA was strengthened, and they look forward to continuing this collaboration in the future., Title: Sprint 7: Iterating upon iterations
Published: October, 2023
Author(s): 2023 99P Labs x CMU MHCI Capstone Team
Claps: 24
Comments: 0
Word Count: 985
URL: https://medium.com/99p-labs/sprint-7-iterating-upon-iterations-34cc621a5aeb

The 99P Labs x CMU MHCI Capstone Team is part of the Master of Human-Computer Interaction (MHCI) program at Carnegie Mellon University. The team started off with a blank canvas and ran design sessions with 3 Gen Z participants to shape their mobile mentor to fit their learning needs. They found that the activities people wanted to perform in cars fell under a few main hierarchies and came up with a set of 3 scenarios to test out the different roles that Gen Zers expect from the mobile mentor. The team then moved from more generative to evaluative testing and decided to focus on the tutor scenario, making use of the unique moving environment of a vehicle. They also made use of their clients' expertise in vehicle HCI design to conduct testing sessions. The team is looking forward to shaping the future of learning on-the-go in their last few iterations., Title: 99P Labs 2022 Data I/O Recap
Published: November, 2022
Author(s): Ryan Lingo
Claps: 259
Comments: 0
Word Count: 1021
URL: https://medium.com/99p-labs/99p-labs-2022-data-i-o-recap-7c710fbe28e6

The blog post discusses the 99P Labs 2022 Data I/O Recap, which took place at The Ohio State University. The event included 50 students participating in 12 teams, with 99P Labs sponsoring and offering a challenge for the participants. Despite varying skill levels, the atmosphere remained friendly and inclusive. The event allowed for more personal interaction and submissions from all teams, resulting in impressive insights and visuals. The winning teams were determined by a team of 99P Labs and OSU faculty. Overall, the author expresses their enjoyment and the inspiring energy of the event. For more information, readers are encouraged to visit the 99P Labs blog post., source_sentence: What is the safety system for cars using robots mentioned in the blog?
sentences: Title: The Future of Smart Mobility — Prof. Chris Atkinson
Published: April, 2021
Author(s): 99P Labs
Claps: 1
Comments: 0
Word Count: 52
URL: https://medium.com/99p-labs/the-future-of-smart-mobility-prof-chris-atkinson-8dfbc1fc1280

The blog article discusses the webinar on The Future of Smart Mobility by Prof. Atkinson at The Ohio State University. 99P Labs expresses excitement about the topic and their collaboration with partners such as OSU to work towards realizing this future., Title: Innovative Projects at MakeOHI/O
Published: March, 2023
Author(s): Ryan Lingo
Claps: 58
Comments: 0
Word Count: 603
URL: https://medium.com/99p-labs/innovative-projects-at-makeohi-o-6f8a4c5a3d02

The blog article discusses the Innovative Projects at MakeOHI/O, a makeathon event sponsored by 99P Labs. The event aimed to encourage creativity and innovation among undergraduate and graduate students. The article highlights three successful projects from the event, including a platform for visually impaired individuals, a safety system for cars using robots, and an automated rearview mirror and sun visor adjustment system. The article also expresses gratitude to the event organizers and participants and invites readers to connect with 99P Labs for collaboration., Title: An Overview of Machine Learning — Part 2: All About Regression
Published: January, 2023
Author(s): Luka Brkljacic
Claps: 2
Comments: 0
Word Count: 4550
URL: https://medium.com/99p-labs/an-overview-of-machine-learning-part-2-all-about-regression-2f991281932e

The blog article provides an in-depth overview of regression in machine learning. It covers linear regression, calculating R, limitations of R, multiple regression, adjusted R, and logistic regression. The article also includes practical Python examples for linear regression and multiple regression. The author also mentions that the next post will cover decision trees., source_sentence: What is the Intel Realsense D435i Depth Camera used for?
sentences: Title: How LLMs can Drive the Intersection Between Social and Mobility
Published: December, 2023
Author(s): Roopal Joshi, Nishant Chintalapati, Sanghmitra Wankhade, Ashima Saxena, and Ken Pulverman
Claps: 1
Comments: 0
Word Count: 2211
URL: https://medium.com/99p-labs/how-llms-can-drive-the-intersection-between-social-and-mobility-1cca9f34e410

The article discusses the authors' journey in tackling a challenge for 99P Labs, exploring the relevance of LLMs for the company to engage their users in the future of mobility. The authors detail their process of ideation, convergent and divergent thinking, and the development of a product or service that leverages the capabilities of ChatGPT or Gen AI to initiate or influence physical actions. The article concludes with recommendations and insights gained from the project., Title: Harnessing Sensors and Software
Published: August, 2023
Author(s): Edward Lui
Claps: 0
Comments: 0
Word Count: 1133
URL: https://medium.com/99p-labs/harnessing-sensors-and-software

The blog article discusses the author's two-month internship at 99P, focusing on sensors and their integration with the Robot Operating System (ROS). The author worked on the SOMEthings project, exploring technologies such as the Intel Realsense D435i Depth Camera, HC-SR04 Ultrasonic Sensor, and DW1000 UWB Module. The challenges faced and accomplishments achieved during the internship are highlighted, providing valuable insights and hands-on experience. The article concludes with an invitation for collaboration and engagement with 99P Labs., Title: Sprint 6: Designing a Mobile Mentor
Published: October, 2023
Author(s): Alana Levene
Claps: 1
Comments: 0
Word Count: 1015
URL: https://medium.com/99p-labs/sprint-6-designing-a-mobile-mentor

The 99P Labs x CMU MHCI Capstone Team has transitioned from research to design, focusing on creating a Mobile Mentor for Gen Z to facilitate on-the-go learning. The team has identified key insights from their research and has begun the prototyping process using a low-fidelity cardboard model. They are actively involving participants in the design process and are considering various influencing factors on their product. The team plans to transition to a design sprint timeline and is excited to continue developing this innovative product., source_sentence: What use cases are provided for the Sustainable Mobility Analytics dashboard?
sentences: Title: MakeOHI/O 2024
Published: March, 2024
Author(s): Ryan Lingo
Claps: 4
Comments: 0
Word Count: 2582
URL: https://medium.com/99p-labs/makeohi-o-2024-cb594eceb99f

The blog post discusses the author's experience at the MakeOHI/O hackathon at Ohio State University. The author served as a mentor and judge and shares the challenge set for the students, the outstanding projects, and the winners. The blog highlights the innovative solutions presented by the winning teams and the overall success of the event. The author also encourages readers to stay engaged with the community and explore partnership opportunities., Title: CMU Heinz Capstone Project — Building Sustainable Mobility Analytics Tool
Published: June, 2022
Author(s): 99P Labs
Claps: 58
Comments: 0
Word Count: 2780
URL: https://medium.com/99p-labs/cmu-heinz-capstone-project-building-sustainable-mobility-analytics-tool-cbfe6e2591ee

The blog article discusses the sustainability of transportation networks and the development of a Sustainable Mobility Analytics dashboard by a group of interdisciplinary research scientists and engineers finishing their graduate studies at Heinz College. The dashboard aims to help partners at 99P Labs understand the complexity of transportation networks and evaluate their sustainability. The article details the three phases of the project, the methodologies for calculating various metrics featured on the dashboard, and provides use cases for the dashboard. Additionally, it discusses the potential for future work and thanks those who supported the project., Title: Navigating Telematics Data
Published: December, 2023
Author(s): Amber Liu, Hanna Lee, Parunjodhi Munisamy, Yaretsy Castro, and Tulip Daaboul
Claps: 60
Comments: 0
Word Count: 1637
URL: https://medium.com/99p-labs/navigating-telematics-data-1b59e09489c7

The blog article discusses the importance of telematics data and its relevance in the transportation landscape. It outlines the challenges faced in working with telematics data, the tools and resources used, and the process of navigating and visualizing the data. The article also delves into the specific analysis of telematics data and census data in Ohio, highlighting the impact of Covid on transportation and income levels. The authors express a desire to further explore pre-covid and post-covid trends and extend the investigation to other states in the United States., source_sentence: How does gamification enhance the learning experience in data science according to the blog?
sentences: Title: Unlocking Potential: The Power of Gamification in Employee Data Science Learning
Published: April, 2024
Author(s): Fern Zhang
Claps: 5
Comments: 0
Word Count: 1661
URL: https://medium.com/99p-labs/unlocking-potential-the-power-of-gamification-in-employee-data-science-learning-5f88e97c74aa

The blog article discusses the use of gamification in employee data science learning. It highlights the challenges in data science training and the team's initiative to revolutionize it using gamification strategies. The team adopted a multifaceted approach to understand the diverse backgrounds and prior knowledge of their target learners to design effective instruction. The article also discusses the gamification strategies for manager and practitioner training, as well as the user testing feedback and future plans for employee training in data science. Overall, the article emphasizes the importance of data science training and the use of gamification to make it an engaging and impactful learning experience., Title: CMU Capstone Project — Visualization Framework Of Telematics Data
Published: April, 2024
Author(s): Yiheng Zhang, Yixue Yin, Rui Huang
Claps: 1
Comments: 0
Word Count: 2520
URL: https://medium.com/99p-labs/cmu-capstone-project-visualization-framework-of-telematics-data-abb74fcbb975

The blog article discusses the development of an application to display telematic trajectory data in various formats on a web browser. The project involved brainstorming, user interviews, experimentation, and necessary pivots to define the trajectory of the development process. The team also focused on enhancing the foundational dashboard, building up a plugin system, fixing problems, and building new features. The final sprint involved finalizing and enhancing the user interface of the visualization framework. The article also outlines future works for the project., Title: Summer Sprint 3: Planes, Trains, and Autonomous Vehicles
Published: September, 2022
Author(s): MHCI x 99P Labs Capstone Team
Claps: 4
Comments: 0
Word Count: 1728
URL: https://medium.com/99p-labs/summer-sprint-3-planes-trains-and-autonomous-vehicles-5e8b40dbb67e

The MHCI x 99P Labs Capstone Team worked remotely from NYC and San Diego, attending two major UX conferences and learning skills to apply to their project. They solidified their understanding of quantitative research methods and learned how to address points of friction in a user's journey. The team discovered benefits and challenges of remote work, and tested low-fi prototypes of built-in screens in an autonomous people-mover. They conducted a brainstorm of all the capabilities they imagine their AV's ecosystem would have and identified the highest priority capabilities. The team also developed a wireflow based on their map of capabilities and prototyped it in Figma to test with participants. They plan to A/B test different content for the in-app options and continue to explore specificity levels when it comes to giving passengers information. They are excited to bring all of their learnings to life in their final design, which will inform the future of shared AV transportation.
model-index: name: SentenceTransformer based on marroyo777/bge-99GPT-v1
results: task: type: triplet
name: Triplet
dataset: name: 99GPT Finetuning Embedding test 01
type: 99GPT-Finetuning-Embedding-test-01
metrics: type: cosine_accuracy
value: 0.9887005649717514
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.011299435028248588
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9887005649717514
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9887005649717514
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.9887005649717514
name: Max Accuracy
verified: no, type: cosine_accuracy
value: 0.9915254237288136
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.00847457627118644
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9915254237288136
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9915254237288136
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.9915254237288136
name: Max Accuracy
verified: no
Likes: 0 | All-time downloads: 78681
Created: 2024-09-28 04:33:01