# Week 7 - Evaluation of LLM outputs and structured outputs

### today's schedule

* Quiz
* Short Recap
* Short presentation of current status
* Breakout Session ‘Next Steps’
* Homework for next week

### resources

{% file src="/files/dGBnYtur9p7JTVuinm24" %}

### homework

* Take a look at this article: <https://blog.n8n.io/open-source-llm/>&#x20;
* Take a look at some open-source / open-access LLM frameworks:
* * Ollama (Mac, Linux):
    * <https://www.youtube.com/watch?v=Ox8hhpgrUi0>
    * <https://www.youtube.com/watch?v=k_1pOF1mj8k>&#x20;
  * LM Studio (Windows, Mac, Linux): - --<https://medium.com/@genebernardin/running-llms-locally-using-lm-studio-38070f286413>&#x20;
  * GPT4All
* Test some open-source/open-access LLMs either locally downloaded or in HuggingFace spaces or any other test environment (e.g. HuggingChat, H2O.ai, etc.)
  * Do you see significant differences in the output of proprietary and open-source/open-access LLMs?


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-7-evaluation-of-llm-outputs-and-structured-outputs.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.