Skip to content

AG-RAG & AG-MM #12

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 14 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@ There will be a 5 min QA at the end of each section. A link to the slides will b
| [AutoGluon Assistant](#autogluon-assistant) | [Boran Han](https://github.com/boranhan) | 12:30PM -- 12:45PM | [AG-A tutorial](https://github.com/autogluon/autogluon-assistant/blob/main/docs/tutorials/autogluon-assistant-quick-start.ipynb) | [docs](https://github.com/autogluon/autogluon-assistant) |
| [AutoGluon Timeseries](#autogluon-timeseries) | [Abdul Fatir Ansari](https://github.com/abdulfatir) | 12:45PM -- 01:15PM | [timeseries quick start](https://colab.research.google.com/github/autogluon/autogluon/blob/stable/docs/tutorials/timeseries/forecasting-quick-start.ipynb), [chronos tutorial](https://colab.research.google.com/github/autogluon/autogluon/blob/stable/docs/tutorials/timeseries/forecasting-chronos.ipynb) | [![timeseries-cheatsheet](https://raw.githubusercontent.com/Innixma/autogluon-doc-utils/main/docs/cheatsheets/stable/timeseries/autogluon-cheat-sheet-ts.jpeg)](https://raw.githubusercontent.com/Innixma/autogluon-doc-utils/main/docs/cheatsheets/stable/timeseries/autogluon-cheat-sheet-ts.pdf) [docs](https://auto.gluon.ai/stable/tutorials/timeseries/index.html) | |
| [AutoGluon Multimodal](#autogluon-multimodal) | [Shuai Zhang](https://github.com/cheungdaven) | 01:15PM -- 01:30PM | [multimodal tutorial](https://colab.research.google.com/github/autogluon/autogluon/blob/stable/docs/tutorials/multimodal/multimodal_prediction/multimodal-quick-start.ipynb) | [![multimodal-cheatsheet](https://automl-mm-bench.s3-accelerate.amazonaws.com/cheatsheet/stable/automm.jpeg)](https://automl-mm-bench.s3-accelerate.amazonaws.com/cheatsheet/stable/automm.pdf) [docs](https://auto.gluon.ai/stable/tutorials/multimodal/index.html) |
| [AutoGluon RAG](#autogluon-rag) | [Shuai Zhang](https://github.com/cheungdaven) | 01:15PM -- 01:30PM | [AutoGluon RAG Tutorial](https://auto.gluon.ai/rag/dev/index.html) | [![autogluon-rag-cheatsheet]()]() [docs](https://auto.gluon.ai/rag/dev/index.html) |
| Additional QA + Feedback | All speakers | TBD | | [docs](https://auto.gluon.ai/cloud/stable/index.html) |

## Section Outline and Materials
Expand Down Expand Up @@ -54,7 +55,19 @@ There will be a 5 min QA at the end of each section. A link to the slides will b

### AutoGluon Multimodal

- WIP
- AutoML & multimodal model finetuning
- HPO, PEFT, KD with AutoGluon Multimodal
- Automatic unimodal/multimodal classification and regression
- Image Segmentation & Object detection
- Multimodal Semantic Matching

### AutoGluon RAG

- RAG in three lines of code
- VectorDB & fast search support
- Fast inference with vLLM
- Easy integration with AWS Bedrock and S3


### Hands-on Notebooks

Expand Down