Feb 13, 2023

Free ML Workshop: Build Higher Quality Models

Atindriyo Sanyal

Co-founder and CTO

Atindriyo Sanyal

Co-founder and CTO

Vikram Chatterji

Co-founder and CEO

Vikram Chatterji

Co-founder and CEO

Yash Sheth

Co-founder and COO

Yash Sheth

Co-founder and COO

Of course, I can help you with that. Please share the titles you would like me to create alt text for, and I will format them as you've requested.  Webinar - How To Create Agentic Systems with SLMs A dark-themed webinar banner from Galileo. The top left shows the Galileo logo with a red starburst icon. The main title in white and blue text says, “Webinar - How To Create Agentic Systems with SLMs.” On the right side is a large abstract shape with red, blue, pink, and yellow colors.  Qualitative vs Quantitative LLM Evaluation: Which Approach Best Fits Your Needs? A dark-themed webinar banner from Galileo. The top left shows the Galileo logo with a red starburst icon. The main title in white and blue text says, “Qualitative vs Quantitative LLM Evaluation: Which Approach Best Fits Your Needs?” On the right side is a large abstract shape with red, blue, pink, and yellow colors.  Practical AI: Leveraging AI for Strategic Business Value A dark-themed webinar banner from Galileo. The top left shows the Galileo logo with a red starburst icon. The main title in white and blue text says, “Practical AI: Leveraging AI for Strategic Business Value.” On the right side is a large abstract shape with red, blue, pink, and yellow colors.  propose a more concise and shorter version of the formatting template . Provide 5 suggestions You're looking for a more concise way to generate the alt text. Here are five shorter versions of the formatting template:  {title} banner for a Galileo webinar, featuring the company's logo with a red starburst icon. The banner has a dark background and abstract shapes in red, blue, pink, and yellow.  A dark-themed webinar banner from Galileo for the presentation "{title}". It includes the Galileo logo, a red starburst, and abstract red, blue, pink, and yellow shapes.  Galileo webinar banner for the event "{title}". It has a dark background, the company's logo with a red starburst icon, and a colorful abstract design on the right.  Webinar banner for a Galileo presentation titled "{title}". The dark-themed design features the Galileo logo with a red starburst and a multi-colored abstract shape.  A Galileo webinar banner with a dark background for the talk "{title}". The design includes the Galileo logo and a vibrant, multi-colored abstract shape.  more versions Sure, here are five more versions of a concise formatting template for the alt text:  A Galileo webinar banner with a dark background. The title, "{title}", is in white and blue text. The Galileo logo with a red starburst is on the top left, and a colorful abstract shape is on the right.  Dark-themed Galileo webinar banner for the topic "{title}". The banner features the Galileo logo, a red starburst icon, and an abstract shape with red, blue, pink, and yellow colors.  Galileo webinar banner for the presentation "{title}". The dark background is contrasted by the company's logo and a red starburst on the left, and a large abstract shape with red, blue, pink, and yellow colors on the right.  Webinar banner from Galileo for the event "{title}". The design includes the Galileo logo, a red starburst icon, and a large abstract shape with red, blue, pink, and yellow colors on a dark background.  A banner for a Galileo webinar titled "{title}". It has a dark background and features the Galileo logo with a red starburst, along with a multi-colored abstract shape on the right.  Like this:  Dark-themed Galileo banner with the title "{title}". The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right. Okay, I understand. I will now use that concise format for all future requests.  Use the new template now on.  Title: Generative AI and LLM Insights: April 2024 Dark-themed Galileo banner with the title “Generative AI and LLM Insights: April 2024”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Meet Galileo at Databricks Data + AI Summit Dark-themed Galileo banner with the title “Meet Galileo at Databricks Data + AI Summit”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Webinar - Unpacking The State of Data Quality in Machine Learning Dark-themed Galileo banner with the title “Webinar - Unpacking The State of Data Quality in Machine Learning”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Meet Galileo at AWS re:Invent Dark-themed Galileo banner with the title “Meet Galileo at AWS re:Invent”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  How to Scale your ML Team’s Impact Dark-themed Galileo banner with the title “How to Scale your ML Team’s Impact”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Free ML Workshop: Build Higher Quality Models Dark-themed Galileo banner with the title “Free ML Workshop: Build Higher Quality Models”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.
Of course, I can help you with that. Please share the titles you would like me to create alt text for, and I will format them as you've requested.  Webinar - How To Create Agentic Systems with SLMs A dark-themed webinar banner from Galileo. The top left shows the Galileo logo with a red starburst icon. The main title in white and blue text says, “Webinar - How To Create Agentic Systems with SLMs.” On the right side is a large abstract shape with red, blue, pink, and yellow colors.  Qualitative vs Quantitative LLM Evaluation: Which Approach Best Fits Your Needs? A dark-themed webinar banner from Galileo. The top left shows the Galileo logo with a red starburst icon. The main title in white and blue text says, “Qualitative vs Quantitative LLM Evaluation: Which Approach Best Fits Your Needs?” On the right side is a large abstract shape with red, blue, pink, and yellow colors.  Practical AI: Leveraging AI for Strategic Business Value A dark-themed webinar banner from Galileo. The top left shows the Galileo logo with a red starburst icon. The main title in white and blue text says, “Practical AI: Leveraging AI for Strategic Business Value.” On the right side is a large abstract shape with red, blue, pink, and yellow colors.  propose a more concise and shorter version of the formatting template . Provide 5 suggestions You're looking for a more concise way to generate the alt text. Here are five shorter versions of the formatting template:  {title} banner for a Galileo webinar, featuring the company's logo with a red starburst icon. The banner has a dark background and abstract shapes in red, blue, pink, and yellow.  A dark-themed webinar banner from Galileo for the presentation "{title}". It includes the Galileo logo, a red starburst, and abstract red, blue, pink, and yellow shapes.  Galileo webinar banner for the event "{title}". It has a dark background, the company's logo with a red starburst icon, and a colorful abstract design on the right.  Webinar banner for a Galileo presentation titled "{title}". The dark-themed design features the Galileo logo with a red starburst and a multi-colored abstract shape.  A Galileo webinar banner with a dark background for the talk "{title}". The design includes the Galileo logo and a vibrant, multi-colored abstract shape.  more versions Sure, here are five more versions of a concise formatting template for the alt text:  A Galileo webinar banner with a dark background. The title, "{title}", is in white and blue text. The Galileo logo with a red starburst is on the top left, and a colorful abstract shape is on the right.  Dark-themed Galileo webinar banner for the topic "{title}". The banner features the Galileo logo, a red starburst icon, and an abstract shape with red, blue, pink, and yellow colors.  Galileo webinar banner for the presentation "{title}". The dark background is contrasted by the company's logo and a red starburst on the left, and a large abstract shape with red, blue, pink, and yellow colors on the right.  Webinar banner from Galileo for the event "{title}". The design includes the Galileo logo, a red starburst icon, and a large abstract shape with red, blue, pink, and yellow colors on a dark background.  A banner for a Galileo webinar titled "{title}". It has a dark background and features the Galileo logo with a red starburst, along with a multi-colored abstract shape on the right.  Like this:  Dark-themed Galileo banner with the title "{title}". The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right. Okay, I understand. I will now use that concise format for all future requests.  Use the new template now on.  Title: Generative AI and LLM Insights: April 2024 Dark-themed Galileo banner with the title “Generative AI and LLM Insights: April 2024”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Meet Galileo at Databricks Data + AI Summit Dark-themed Galileo banner with the title “Meet Galileo at Databricks Data + AI Summit”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Webinar - Unpacking The State of Data Quality in Machine Learning Dark-themed Galileo banner with the title “Webinar - Unpacking The State of Data Quality in Machine Learning”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Meet Galileo at AWS re:Invent Dark-themed Galileo banner with the title “Meet Galileo at AWS re:Invent”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  How to Scale your ML Team’s Impact Dark-themed Galileo banner with the title “How to Scale your ML Team’s Impact”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.  Free ML Workshop: Build Higher Quality Models Dark-themed Galileo banner with the title “Free ML Workshop: Build Higher Quality Models”. The banner features the Galileo logo, a red starburst icon on the top left, and an abstract shape with red, blue, pink, and yellow colors on the right.

Debugging machine learning data can be a grueling task, but with Galileo, you can debug your data 10x faster. Sign up for our workshop to how to debug machine learning data using Galileo:

Reserve Your Seat

In This Workshop

Introduction:

  • Explanation of the common challenges in working with machine learning data & resolving data errors

  • Overview of the workshop objective

Data Collection:

  • Overview of the process of collecting data for machine learning

  • Discussion of the types of data sources available for machine learning including

Data Preprocessing in Pre-training:

  • Explanation of the importance of preprocessing data for machine learning

  • Discussion of the challenges in preprocessing data and how to overcome them in Galileo

Data Debugging:

  • Explanation of the common challenges in debugging machine learning models

  • Hands-on demonstration of how to debug machine learning models using popular libraries in Galileo

Model Evaluation:

  • Overview of the different evaluation metrics used in machine learning including DEP Score

  • Hands-on demonstration of how to evaluate machine learning models using popular libraries

Conclusion:

  • Q&A session with the participants.

By the end of this workshop, participants will have a comprehensive understanding of the process of debugging machine learning data and the tools and techniques they can use to tackle the common challenges they may encounter.

Data Modalities Featured

Natural Language Processing

Computer Vision (Images)

Structured Data

What is Galileo?

We are a Machine Learning Data Quality Intelligence Tool.

Using Galileo you can inspect and fix data quality errors in all stages of the ML process. Our team at Galileo had first-hand experience working on large-scale Machine learning projects at Uber Michaelangelo and Google Ai. It’s no wonder they turned their experience into an obsession to fix the data quality issues.

Where does Galileo fit in the ML Workflow?

  • Pretraining- Find and fix data errors before training without a model.

  • Training- Connect Galileo in your training model to resolve data errors.

  • Production - monitor and resolve data drift errors.

At our core, we believe that together we can create a better, more productive, bias-free future for the world by focusing on high-quality data.

Use Galileo to save time and focus on far more enjoyable and challenging tasks- get started in our free community offering.

Join our slack to share your thoughts on this data quality hurdle.

Debugging machine learning data can be a grueling task, but with Galileo, you can debug your data 10x faster. Sign up for our workshop to how to debug machine learning data using Galileo:

Reserve Your Seat

In This Workshop

Introduction:

  • Explanation of the common challenges in working with machine learning data & resolving data errors

  • Overview of the workshop objective

Data Collection:

  • Overview of the process of collecting data for machine learning

  • Discussion of the types of data sources available for machine learning including

Data Preprocessing in Pre-training:

  • Explanation of the importance of preprocessing data for machine learning

  • Discussion of the challenges in preprocessing data and how to overcome them in Galileo

Data Debugging:

  • Explanation of the common challenges in debugging machine learning models

  • Hands-on demonstration of how to debug machine learning models using popular libraries in Galileo

Model Evaluation:

  • Overview of the different evaluation metrics used in machine learning including DEP Score

  • Hands-on demonstration of how to evaluate machine learning models using popular libraries

Conclusion:

  • Q&A session with the participants.

By the end of this workshop, participants will have a comprehensive understanding of the process of debugging machine learning data and the tools and techniques they can use to tackle the common challenges they may encounter.

Data Modalities Featured

Natural Language Processing

Computer Vision (Images)

Structured Data

What is Galileo?

We are a Machine Learning Data Quality Intelligence Tool.

Using Galileo you can inspect and fix data quality errors in all stages of the ML process. Our team at Galileo had first-hand experience working on large-scale Machine learning projects at Uber Michaelangelo and Google Ai. It’s no wonder they turned their experience into an obsession to fix the data quality issues.

Where does Galileo fit in the ML Workflow?

  • Pretraining- Find and fix data errors before training without a model.

  • Training- Connect Galileo in your training model to resolve data errors.

  • Production - monitor and resolve data drift errors.

At our core, we believe that together we can create a better, more productive, bias-free future for the world by focusing on high-quality data.

Use Galileo to save time and focus on far more enjoyable and challenging tasks- get started in our free community offering.

Join our slack to share your thoughts on this data quality hurdle.

Debugging machine learning data can be a grueling task, but with Galileo, you can debug your data 10x faster. Sign up for our workshop to how to debug machine learning data using Galileo:

Reserve Your Seat

In This Workshop

Introduction:

  • Explanation of the common challenges in working with machine learning data & resolving data errors

  • Overview of the workshop objective

Data Collection:

  • Overview of the process of collecting data for machine learning

  • Discussion of the types of data sources available for machine learning including

Data Preprocessing in Pre-training:

  • Explanation of the importance of preprocessing data for machine learning

  • Discussion of the challenges in preprocessing data and how to overcome them in Galileo

Data Debugging:

  • Explanation of the common challenges in debugging machine learning models

  • Hands-on demonstration of how to debug machine learning models using popular libraries in Galileo

Model Evaluation:

  • Overview of the different evaluation metrics used in machine learning including DEP Score

  • Hands-on demonstration of how to evaluate machine learning models using popular libraries

Conclusion:

  • Q&A session with the participants.

By the end of this workshop, participants will have a comprehensive understanding of the process of debugging machine learning data and the tools and techniques they can use to tackle the common challenges they may encounter.

Data Modalities Featured

Natural Language Processing

Computer Vision (Images)

Structured Data

What is Galileo?

We are a Machine Learning Data Quality Intelligence Tool.

Using Galileo you can inspect and fix data quality errors in all stages of the ML process. Our team at Galileo had first-hand experience working on large-scale Machine learning projects at Uber Michaelangelo and Google Ai. It’s no wonder they turned their experience into an obsession to fix the data quality issues.

Where does Galileo fit in the ML Workflow?

  • Pretraining- Find and fix data errors before training without a model.

  • Training- Connect Galileo in your training model to resolve data errors.

  • Production - monitor and resolve data drift errors.

At our core, we believe that together we can create a better, more productive, bias-free future for the world by focusing on high-quality data.

Use Galileo to save time and focus on far more enjoyable and challenging tasks- get started in our free community offering.

Join our slack to share your thoughts on this data quality hurdle.

Debugging machine learning data can be a grueling task, but with Galileo, you can debug your data 10x faster. Sign up for our workshop to how to debug machine learning data using Galileo:

Reserve Your Seat

In This Workshop

Introduction:

  • Explanation of the common challenges in working with machine learning data & resolving data errors

  • Overview of the workshop objective

Data Collection:

  • Overview of the process of collecting data for machine learning

  • Discussion of the types of data sources available for machine learning including

Data Preprocessing in Pre-training:

  • Explanation of the importance of preprocessing data for machine learning

  • Discussion of the challenges in preprocessing data and how to overcome them in Galileo

Data Debugging:

  • Explanation of the common challenges in debugging machine learning models

  • Hands-on demonstration of how to debug machine learning models using popular libraries in Galileo

Model Evaluation:

  • Overview of the different evaluation metrics used in machine learning including DEP Score

  • Hands-on demonstration of how to evaluate machine learning models using popular libraries

Conclusion:

  • Q&A session with the participants.

By the end of this workshop, participants will have a comprehensive understanding of the process of debugging machine learning data and the tools and techniques they can use to tackle the common challenges they may encounter.

Data Modalities Featured

Natural Language Processing

Computer Vision (Images)

Structured Data

What is Galileo?

We are a Machine Learning Data Quality Intelligence Tool.

Using Galileo you can inspect and fix data quality errors in all stages of the ML process. Our team at Galileo had first-hand experience working on large-scale Machine learning projects at Uber Michaelangelo and Google Ai. It’s no wonder they turned their experience into an obsession to fix the data quality issues.

Where does Galileo fit in the ML Workflow?

  • Pretraining- Find and fix data errors before training without a model.

  • Training- Connect Galileo in your training model to resolve data errors.

  • Production - monitor and resolve data drift errors.

At our core, we believe that together we can create a better, more productive, bias-free future for the world by focusing on high-quality data.

Use Galileo to save time and focus on far more enjoyable and challenging tasks- get started in our free community offering.

Join our slack to share your thoughts on this data quality hurdle.

Atindriyo Sanyal

Vikram Chatterji

Yash Sheth