New AI Trails from Salesforce Available Now!

Salesforce is pressing forward in the AI space by launching more AI training modules for professionals.

It’s the Future and Salesforce is Leading the Way

AI continues to shape the narrative for the next set of skills needed by Salesforce professionals. Keeping up means not just keeping pace with current AI tech available but anticipating the trends. Salesforce, leading the AI + CRM revolution, has launched a series of new modules on Trailhead. These modules represent the next leap forward in training, equipping professionals with the skills needed to compound their AI knowledge in what has become a seemingly ever evolving landscape of for AI adoption. Lets take a closer look at the modules recently launched and exploring how they serve us on our journey to stay relevant as professionals.

Model Fine-Tuning: Customizing AI to Your Needs

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The “Model Fine-Tuning” module on Salesforce Trailhead is a dive into customizing AI models for enhanced performance. Split into three parts, the module begins with “Get to Know Fine-Tuning,” introducing the concept and mechanics of fine-tuning, emphasizing prior knowledge in Natural Language Processing and Large Language Models. Learners are equipped to describe fine-tuning and its underlying mechanics, laying a strong foundation for practical application.

The second part, “Use Fine-Tuning to Improve Performance,” goes into the tangible benefits and challenges of fine-tuning. It reveals how smaller, fine-tuned models can surpass larger models in task-specific performance, offering efficiency and cost-effectiveness while navigating fine-tuning’s intricacies.

The final segment, “Prepare for Fine-Tuning,” guides learners through dataset preparation, including collection, cleaning, and splitting, crucial for the model’s success.. This module helps skill learners configure, fine-tune, monitor and evaluate, and deploy models.

Explore Machine Learning Predictions

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Salesforce’s “Explore Machine Learning Predictions” module empowers learners to harness machine learning (ML) to enhance Customer Relationship Management (CRM) data. This module guides users through understanding the capabilities of ML for predictive insights, enabling better decision-making across various business operations.

Key takeaways include differentiating predictive AI from generative AI—where the former leverages existing data for new insights on trends like attrition or fraud risks, and the latter creates new data. The module outlines practical ML applications across sales, service, finance, HR, and more, demonstrating how predictive insights can drive efficiency, increase conversion rates, and improve customer satisfaction.

A significant focus is on democratizing ML, emphasizing that one need not be a data scientist to benefit from ML insights. Salesforce’s Einstein platform is showcased as a tool that bridges the gap between technical and business users, with features like Einstein Studio and Einstein Discovery facilitating the integration of ML models into Salesforce for actionable business insights.

This module positions ML as accessible and essential for modern businesses, highlighting Salesforce’s commitment to making advanced data analysis and predictive capabilities available to all users.

Generative AI for Images

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Generative AI is revolutionizing visual content creation, offering tools for generating images, 3D objects, and animations. This leap is powered by large language models, moving beyond text to enable diverse visual expressions. Diffusion models, surpassing generative adversarial networks (GANs), excel in creating varied imagery, from realistic scenes to imaginative concepts. Notable tools like DALL-E and Stable Diffusion demonstrate this capability, facilitating everything from text-to-image transformations to complex animations.

Learners can expect to find out the advantages of diffusion models, discover prominent AI tools, and explore their applications. The module emphasizes practical uses, such as enhancing presentations or projects with AI-generated art, while underscoring the importance of effective prompt engineering to achieve desired results. Ethical considerations, including plagiarism and bias, are highlighted to encourage responsible use.

Prompt Builder Basics

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The ability to craft effective prompts is paramount if you’re going to use and deploy AI solutions. The “Prompt Builder Basics” module on Salesforce Trailhead is designed to empower learners with this critical skill. After completing the module, participants will understand what constitutes an effective prompt, the variety of template types available within Prompt Builder, and the significance of incorporating the Einstein Trust Layer for ethical AI use.

The module is divided into three insightful parts. Initially, it introduces Prompt Builder, guiding users on identifying effective prompts and discussing the prompt template types. It then delves into creating and grounding prompt templates, where learners discover the concept of grounding, how to create templates using Prompt Builder, and the integration benefits with Flow and Data Cloud. Lastly, it covers reviewing, revising, and saving templates, focusing on enhancing accuracy, limiting toxicity, and the iterative process of refinement. This module not only enhances prompt crafting skills but also emphasizes responsible AI development.

Artificial Intelligence and Cyber Security

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The new Salesforce Trailhead module, “Artificial Intelligence and Cybersecurity,” equips learners with insights into the profound impacts of AI on both the personal and professional space. This module is structured around two units. Upon completion, learners will possess the ability to discuss the extensive impacts of AI, delineating how it reshapes every facet of our lives from convenience to security. It also covers more ethical AI and secure AI, underscoring the importance of responsible and protected AI deployment. By defining ethical AI, the module emphasizes the creation and use of AI technologies that are fair, transparent, and accountable. Secure AI, on the other hand, focuses on safeguarding AI systems against evolving cybersecurity threats, ensuring they remain reliable and trustworthy. This module is foundational for anyone looking to understand the ethical and security dimensions crucial to AI implementation.

BYOL Data Shares in Data Cloud

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Salesforce’s BYOL (Bring Your Own Lake) Data Sharing in Data Cloud revolutionizes data integration, allowing seamless sharing of data objects with third-party ecosystems like data warehouses and lakes, without the need for traditional ETL processes. This module introduces learners to zero-ETL data sharing, enabling direct, real-time access to data, enhancing security and governance standards. It covers planning a data strategy, setting up credentials, building data shares, and establishing connectivity with third-party partners such as Snowflake. Use cases include breaking down data silos for cross-cloud analytics and building advanced AI and ML models. The module also outlines steps for accessing Data Cloud data from third-party partners, aiming to empower businesses with a deep understanding of customer data through data-driven insights. It’s designed for Data Cloud administrators or specialists, emphasizing the importance of secure, compliant, and efficient data sharing.

BYOL Data Shares in Data Cloud

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Hit the AI Trails

Salesforce’s introduction of new Trailhead modules is a timely response to the continually evolving field of artificial intelligence, offering learners a unique opportunity to skill up in crucial areas such as model fine-tuning, machine learning predictions, generative AI for images, prompt building basics, AI in cybersecurity, BYOL data shares in Data Cloud, critical thinking with data and AI and more. The AI trails are an important part of preparing for individuals to use and deploy AI solutions across the org. Covering concepts and real-world applications, making them invaluable for anyone looking to make their mark in the AI Specialist space. As AI continues to shape the future of business, investing time in these trails could be the most impactful step you take towards future-proofing your career. So, why wait? Dive into these trails, enhance your AI skills, and join the ranks of trailblazers shaping the future of technology. Share your journey and successes with the wider community!