Session 2: Focuses on how AI solutions are being applied within the advice and legal sectors – 90 minutes
5 GenAI use cases in the advice sector
In this section we explore some examples of how AI solutions are being applied in the advice sector.
These typically make use of custom or purpose-built models rather than more general-purpose public LLMs. Although the models have been developed for a particular organisation, the tasks they are doing are transferable to other sectors.
Different types of models
Read this article Overview: General Purpose LLMs vs Purpose-Built LLMs vs Custom LLMs to learn more about different types of models
Now match each of the following terms with its correct definition.
Two lists follow, match one item from the first with one item from the second. Each item can only be matched once. There are 3 items in each list.
A general-use language model like ChatGPT or Gemini that is open to the public, often trained on internet-scale data and not tailored to a specific user.
A language model designed for a specific task or industry, such as legal, medical, or customer service applications.
A language model developed in-house or by a vendor specifically for an organisation’s needs, trained on its own private data.
Match each of the previous list items with an item from the following list:
a.Purpose Built LLM
b.Custom LLM
c.General Purpose LLM
- 1 = c,
- 2 = a,
- 3 = b
Answer
General Purpose LLM = A general-use language model like ChatGPT or Gemini that is open to the public, often trained on internet-scale data and not tailored to a specific user.
Purpose Built LLM = A language model designed for a specific task or industry, such as legal, medical, or customer service applications.
Custom LLM = A language model developed in-house or by a vendor specifically for an organisation’s needs, trained on its own private data.
Please note: The AI-generated image above is not correct. The arrow at the top should be pointing upwards, not downwards. This is why you should always check your AI output and why the ‘human in the loop’ is important.
Case Study: NSPCC Childline HelpFirst prototype
HelpFirst worked with the NSPCC to produce AI-generated summaries. It is an example of the potential of a custom-made AI model to help organisations with routine tasks that can free up time to prioritise core delivery. Although this solution was developed in a voluntary organisation, it could be relevant for other sectors.
Approach taken to implement an AI solution
Read this article How AI could help Childline counsellors spend more time talking to children and young people and summarise the key messages that underline the approach taken to implementing the AI solution.
Discussion
There might be several points you took away from this case study including:
- The importance of involving stakeholders in designing the solution.
- Customised solutions often perform better than general tools.
- The ‘human in the loop’ is critical, the output must be reviewed by a human. The aim is for the AI solution to support the work of the human, not replace it.
4 Tips and tricks
