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[ Use Cases ]
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Resources
Id | Industry | Overview | Samples |
---|---|---|---|
1. | Healthcare | With less time spent on admin, more time can be spent attending to a patient’s complex needs or seeing more patients. | Hack - Healthcare Prompts POC - Python Notebook MLP None yet. |
2. | Financial Services | Use GAI to analyse your transactions to keep you safe & offer recommendations | Hack - Finance Prompts POC - Part 1: Finance Dotnet Notebook MLP - Project Miyagi - Part 2: Finance Python Notebook |
3. | Retail & Customer Services | Use GAI to analyse compliance failures or generate product marketing content. | Hack - Retail Prompts POC - Dotnet Notebook MLP - Plugin |
4. | Manufacturing | Use GAI to assist up-skilling of apprentices and technicians, through conversational on-the-job training of simple concepts. | Hack None yet. POC - ML Flow MLP None yet. |
Solution Accelerators | Repository Link |
---|---|
Business Process Automation | GitHub |
Azure Cognitive Search + OpenAI | GitHub |
PowerApp + OpenAI | GitHub |
Azure SQL Database + OpenAI | GitHub |
ChatGPT + Enterprise data with Azure OpenAI | GitHub |
Azure OpenAI Semantic Search Demo - Document Upload | GitHub |
Redis + OpenAI | GitHub |
Title | Repository Link |
---|---|
OpenAI Cookbook | GitHub |
Call center solutions | GitHub - Example 1 GitHub - Example 2 |
Income Statement Analysis | GitHub |
Use Case | Description |
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Summarisation | Large language models can condense lengthy texts into shorter summaries, retaining key information, which is helpful in digesting large volumes of information quickly. |
Writing Aid | They can assist in drafting, editing, or enhancing written content by suggesting better word choices, correcting grammar, or even helping with style and tone. |
Image Generation | Though primarily designed for text, some models can be fine-tuned to generate images from textual descriptions, bridging the gap between language and visual representation. |
Code Generation or Transformation | By understanding programming languages, these models can aid in writing code, debugging, or even translating code between different programming languages. |
Chat and Conversation | Large models can simulate human-like conversations in chatbots, providing natural responses and maintaining contextual understanding over a dialogue. |
Question-answering | They excel at providing precise answers to user queries by searching through large datasets or pre-trained knowledge, making them useful in customer service or education. |
Reason over Structured or Unstructured Data | They can analyse and draw insights from data, whether structured (like databases) or unstructured (like text documents), aiding in decision-making processes. |
Search | By understanding the semantic meaning behind queries, large language models can enhance search engine capabilities, delivering more relevant results. |
Category | Example |
---|---|
Analyse | Support customers to understand and reconcile costs and invoices across dimensions. |
Insights | Actionable insights into cloud usage and costs using their own and similar customer's data. |
Optimise | Provide tools and recommendations for customers to optimise on their cloud costs. |
Simulate | Enable customers to simulate scenarios which would change their future cloud costs. |