Introduce evaluation API
<!-- pylint-output-strict-mode-false -->

beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.

---

Your code was analyzed with PyLint. The following annotations have been identified:

```
************* Module nemo.collections.llm.api
nemo/collections/llm/api.py:369:0: C0301: Line too long (121/119) (line-too-long)
nemo/collections/llm/api.py:370:0: C0301: Line too long (120/119) (line-too-long)
nemo/collections/llm/api.py:438:0: C0301: Line too long (178/119) (line-too-long)
nemo/collections/llm/api.py:568:0: C0116: Missing function or method docstring (missing-function-docstring)

-----------------------------------
Your code has been rated at 9.83/10
```

---

Mitigation guide:

* Add sensible and useful docstrings to functions and methods
* For trivial methods like getter/setters, consider adding `# pylint: disable=C0116` inside the function itself
* To disable multiple functions/methods at once, put a `# pylint: disable=C0116` before the first and a `# pylint: enable=C0116` after the last.

By applying these rules, we reduce the occurance of this message in future.

Thank you for improving NeMo's documentation!
# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

**Collection**: LLM

# Changelog 
- Introduce standardized API dataclasses for evals configuration
- Modify the evaluate method to comply with the new format

# Usage

```python
import os

import nemo_run as run
from nemo.collections.llm.api import deploy, evaluate
from nemo.collections.llm.evaluation.api import EvaluationConfig, ApiEndpoint, EvaluationTarget

triton_model_name = "LLama3.1"
nemo_checkpoint = '/models/nemo2/Meta-Llama-3.1-8Bfix'

max_input_len = 4096
url = f"http://0.0.0.0:8000/"

deploy_fn = run.Partial(
        deploy,
        triton_model_name=triton_model_name,
        nemo_checkpoint=nemo_checkpoint,
        max_input_len=max_input_len,
    )

api_endpoint = run.Config(ApiEndpoint, model_id = triton_model_name, url = url, nemo_checkpoint_path = nemo_checkpoint)
target_cfg = run.Config(EvaluationTarget, api_endpoint = api_endpoint)

eval_cfg = run.Config(EvaluationConfig, type="gsm8k")

eval_fn = run.Partial(
    evaluate,
    target_cfg=target_cfg,
    eval_cfg=
)

local_executor = run.LocalExecutor()

if __name__ == "__main__":
    with run.Experiment("deploy_evaluate", log_level="INFO")  as exp:
                exp.add(deploy_fn, executor=local_executor, name="deploy")
                exp.add(eval_fn, executor=local_executor, name="evaluate", tail_logs=True)
                exp.run(sequential=False, tail_logs=True)
```

# GitHub Actions CI

The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.

The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".

# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

Anyone in the community is free to review the PR once the checks have passed. 
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.

# Additional Information
* Related to # (issue)
