Advancing AI Reasoning and Scalable Language Models

Discover the Critic-CoT framework enhancing self-critique and reasoning capabilities in large language models. Introducing miniG, a groundbreaking scalable AI-language model trained on a synthesis dataset of 120 million entries. Plus, a new machine learning model offers a simple solution to predicting crop yield. Also, Neko Health, the body-scanning AI health startup from Spotify's Daniel Ek, opens in London.

Sources:
https://www.marktechpost.com/2024/09/03/critic-cot-a-novel-framework-enhancing-self-critique-and-reasoning-capabilities-in-large-language-models-for-improved-ai-accuracy-and-reliability/
https://www.marktechpost.com/2024/09/03/minig-released-by-causallm-a-groundbreaking-scalable-ai-language-model-trained-on-a-synthesis-dataset-of-120-million-entries/
https://phys.org/news/2024-09-machine-simple-solution-crop-yield.html
https://techcrunch.com/2024/09/03/neko-health-the-body-scanning-ai-health-startup-from-spotifys-daniel-ek-opens-in-london/

Outline:
(00:00:00) Introduction
(00:00:51) miniG Released by CausalLM: A Groundbreaking Scalable AI-Language Model Trained on a Synthesis Dataset of 120 Million Entries
(00:02:51) New machine learning model offers simple solution to predicting crop yield
(00:05:31) Neko Health, the body-scanning AI health startup from Spotify’s Daniel Ek, opens in London