Harness the Power of AI with Power Platform Large Language Model Infused Tools

Artificial Intelligence (AI) is revolutionizing how we interact with data. Instead of predefined rules that traditional applications operate on, AI models make inferences based on data, including labeled data and unlabeled data, offering a more dynamic and sophisticated way of analyzing data. Imagine a future where AI can understand and generate human language as seamlessly as a human, paving the way for advanced and efficient applications.?

Understanding Large Language Models?

A Large Language Model (LLM) is an AI system trained to understand and generate human language. They encompass various types, such as transformer-based models like GPT and BERT, and sequence-to-sequence models like GNMT (Google Translate). Currently, the spotlight is on transformer-based models, particularly GPT, because of its superior text analysis capability.?

Creating an LLM involves training the model on vast amounts of text data and teaching it to predict the next word in a sequence. At the conclusion of training, the model learns to discern relationships between words, phrases, and sentences, enabling it to generate responses that mirror human interaction. Examples of transformer based LLMs are BERT, GPT series, BingChat/Search, ChatGPT, BloomGPT, RoBERTa, and T5.

Leverage AI Builder and Azure OpenAI Service?

Gaining access to these LLMs is a simple process, but currently this feature is behind a gated preview. To gain access to these models, you must submit a form with general information regarding a use case. You will receive a notification if approved and can leverage the model for your approved use case.??

In the Power Platform , Microsoft provides a comprehensive library of AI models, including OpenAI models, through its AI Builder feature. This tool aims to offer AI solutions that can be done with little coding knowledge. Users can choose from a broad range of pre-built AI models, or even fine-tune models using their own data, ensuring a custom-made AI solution for unique use cases.?

Similarly, Azure Open AI Service is another path to access LLMs, providing pre-built and custom models as per your requirements. This is the part of the Cognitive Services Family and the underlying API that is accessed through AI Builder.?

The key to getting the best out of these AI models lies in prompt engineering. In the Azure OpenAI Service, prompts serve as the natural language instructions for the model to perform tasks. To ensure relevant responses, it's crucial to create clear, specific prompts with context and relevance. This approach demands human oversight to guarantee accuracy, unbiased responses, and adherence to responsible AI principles.?

Power Automate, Power Apps, and Power Virtual Agents: Enhancing AI Capabilities?

Microsoft Power Automate offers a pathway to integrate Azure OpenAI Service into your workflow using AI Builder. By selecting the Azure OpenAI Service tile, you can engage in prompt engineering and easily incorporate AI-generated text into your workflow. It's always prudent to include a human approval step for customer-facing AI-generated text to ensure quality and accuracy.?

Harnessing the capabilities of Power Automate combined with AI, businesses can further optimize their processes, improving efficiency and customer engagement.

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In Call Center operations, LLMs can generate follow-up communications such as emails, texts, or automated voicemails. These would summarize the customer's conversation with the call center representative and provide any necessary next steps. This process ensures no lost details in communication and enhances customer satisfaction.

Feedback is a valuable resource for businesses, but managing it can be challenging. Power Automate can sort feedback using sentiment analysis, a known feature. The addition of GPT's generative capabilities can create automated responses to the feedback submitter.

The tone of the response would match the sentiment of the feedback, making interactions more personalized and effective. For instance, a positive sentiment could receive an equally enthusiastic response, while negative feedback might get a softer, understanding response.?

Power Automate and LLMs can also extract relevant information from open-ended text. Businesses could identify key themes from survey responses, extract pro forma information, or identify personally identifiable information (PII) in internal emails for scrubbing. In real estate, these tools could be used for document information extraction, streamlining the documentation process.?

By incorporating Power Automate with LLMs, businesses can tap into their data more effectively, enhancing their operations and driving improved customer interactions.?

Power Apps facilitates the interaction with the AI model using the 'Create text with GPT' function. The responses can be manipulated as with any other application component/control, extending your app's capabilities.?

With integrating AI in Power Apps, document summarization and processing become significantly more efficient and accurate.?

Imagine a scenario where an end-user uploads a document—be it a resume, invoice, receipt, or a custom form. Power Apps, equipped with Large Language Models, can analyze the content, extract relevant information, and summarize the document's essential points. It reduces the time spent on manual processing and ensures that no critical information is overlooked.?

We can use this technology for document validation. By comparing the uploaded document against certain predefined criteria or formats, Power Apps can instantly verify its accuracy and completeness. This feature can be especially beneficial in HR for resume validation, in finance for checking invoices and receipts, or in any department that deals with custom forms.?

Incorporating AI in Power Apps thus streamlines document processing, saving time and enhancing accuracy, allowing businesses to focus more on strategic tasks and less on manual data handling.?

Power Virtual Agents can boost conversations with AI assistance. Through the unified canvas feature, you can create chatbots that can answer user queries. If a query doesn't match an existing topic, the bot can look for an answer on a specified website, transforming the information into a simple message for the user. This process is further refined through customizable content moderation policies.?

Pricing Models in Power Platform?

As for the pricing, Microsoft operates on a consumption-based model using AI Builder credits. Each AI Builder add-on unit, priced at $500 per unit/month, provides a pack of 1 million service credits pooled at the tenant level. Licensing/Pricing is managed through this model.?

Large Language Models in the Microsoft Power Platform offers immense potential for businesses to streamline operations, improve customer experiences, and leverage AI capabilities effectively. Whether you're a no-code user or a seasoned developer, these tools provide avenues to harness AI and reshape the way you interact with data.?

Tell us what you think. How can these tools help you in today's fast-paced environment?

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