|
DATE
|
TOPIC
|
MATERIALS
|
|
-
|
Solving Downstream Tasks fine-tuning Transformers |
- Slides III.1 - NVIDIA online books |
|
-
|
- Prompting LLMs - LLM State-of-the-art |
- Slide III.2, Slide III.2b - Slide III.2c, Slide III.2d - von Platen 2020 |
|
-
|
Agents |
- LangChain Course - LangGraph |
|
DATE
|
TOPIC
|
MATERIALS
|
|
-
|
Network Embedding | - Slides |
|
-
|
ASR using LLMs | - [Kheddar et al. 2024] |
|
-
|
ChatGPT and Generative LLMs. |
- [Church 2024, Dale 2024] |
|
-
|
Retrieval Augmented Generation. |
- [Church et al. 2024] |
|
-
|
Topic modelling. |
- Slides |
|
-
|
DNNs and Cognition. |
- [Goldstein et al. 2024, Millière 2024], - [Manning et al. 2020, Yang, Piantadosi 2022]. |
REFERENCES