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Salesforce Eyes Auto ML Model Generation – Patent Filing

In an exciting move towards the future, Salesforce, the tech giant known for its innovative solutions, is determined to revolutionize the world of machine learning by automating the process. 

Recently, the company filed a patent application for “Automatic Machine Learning Model Generation.” 

But what does this mean for someone, especially if they’re new to AI and machine learning? 

Salesforce aims to make creating AI models as easy as a few clicks, allowing you to harness AI’s power without the technical complexity.

Salesforce effortless look for machine learning automation

How does this mechanism work?

1. Data Analysis: Salesforce’s system starts by analyzing the data provided by the user and the associated metadata.

2. Prediction Field: It then creates a “prediction field” to show what the model can achieve with the given dataset.

3. Feature Selection: As part of the process, the system identifies and selects data features while eliminating those that might introduce inaccuracies.

4. Model Training: It goes on to select and train a machine learning model from a group of “candidate models” based on their predictive accuracy.

5. User-Friendly Interface: All of these steps are seamlessly integrated into a user-friendly interface, making it simple for users to generate a predictive machine learning model by providing their data.

Democratizing Machine Learning

In numerous industries, valuable data resources await the magic of machine learning, yet the cost and complexity of AI model development often act as barriers. Salesforce, fully aware of this challenge, acknowledges that many users lack specialized statistical expertise leaving them in the dark about critical AI parameters.

Salesforce further clarifies

“The user may manually enter data into the input fields that may be incorrect or incomplete and may result in the system providing an inaccurate prediction. Or, in some cases, the system may be unable to provide a prediction altogether, given the input.”

A Decade-Long Journey: The Evolution of Automatic Machine Learning

Automatic machine learning has piqued the interest of developers for nearly a decade, as noted by Vinod Iyengar, Head of Product at AI training engine ThirdAI. 

In the realm of patents, both Oracle and JPMorgan Chase have also ventured into the realm of DIY AI, exploring chatbot-generating chatbots and no-code AI capabilities.

Salesforce’s Unique Path in AI Innovation

Salesforce has diligently expanded its AI toolbox, focusing on analytics, customer data, and automation. 

This patent application highlights their dedication to streamlining machine learning, making it accessible to individuals without extensive technical knowledge, all through an intuitive user interface.

Salesforce's Quest for Effortless Automatic Machine Learning Model Creation

Tapping into Problem-Solving Power with Large Language Models

  • Surprisingly, some experts believe that similar vision might already be achieved by using Large Language Models.
  • Large Language Models (LLM) are really good at taking big, complicated problems and breaking them down into smaller, solvable pieces. 
  • With the right instructions and information, you can let Large Language Models (LLM)  help you find solutions to these problems. 

Summing this interesting patent line up

In conclusion, it’s worth noting that Salesforce has an enterprise-focused language model within its Einstein framework.

With this promising addition, Salesforce is further poised to empower businesses and individuals to navigate the exciting landscape of AI and machine learning, bringing innovative solutions and ease of use to the forefront of the technology world.


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