2023/05/01: Landscpae of AI/ML in 2023

1. Landscape of AI/ML in 2023

source: https://www.slideshare.net/HyunJoonJung/landscape-of-aiml-in-2023?fbclid=IwAR1UUpsfWOhbKap4R7FPtKf090hmQXrYsyXZ7jCSufqclNxjStsNlttjaTg

2. A brief history of LLMA models - AGI Sphere

source: https://agi-sphere.com/llama-models/?fbclid=IwAR3TY21xWdFl9CiMU-ayTS2kXYE67xLw75b-zq1MJInFfhExpQUG96uBp5I

3. A fascinating tree of GPTs & LLMs reveals what’s been going on under the covers

source: https://medium.com/@paul.k.pallaghy/a-fascinating-tree-of-gpts-and-llms-reveals-whats-been-going-on-4d4235f2a2b1

4. A Survey of Large Language Models

source: https://arxiv.org/pdf/2303.18223.pdf

5. Scaling Transformer to 1M tokens and beyond with RMT

source: https://arxiv.org/pdf/2304.11062.pdf

6. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

source: https://arxiv.org/pdf/2304.10592.pdf