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Build your own Co-Pilot | Use Cases

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IntroductionGetting Started → [ Use Cases ] → Resources

Samples

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.

Other Samples

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

Relevant Repositories

Title Repository Link
OpenAI Cookbook GitHub
Call center solutions GitHub - Example 1 GitHub - Example 2
Income Statement Analysis GitHub

Common use-cases for LLMs:

Use Case Description
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.

Extrapolate these into your own scenarios:

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.