Advancements in Information Extraction and Robotics, Aloe Models for Healthcare, and Human Rights in the Age of AI Simply AI

Tsinghua University researchers propose ADELIE, a groundbreaking approach to information extraction. UC Berkeley introduces Learnable Latent Codes as Bridges (LCB) for robotics. The Barcelona Supercomputing Center and UPC develop Aloe models for healthcare. Human rights lawyer Susie Alegre explores the intersection of AI and human rights in her new book. Join us as we delve into these cutting-edge advancements and their implications for various fields.Sources:https://www.marktechpost.com/2024/05/11/tsinghua-university-researchers-propose-adelie-enhancing-information-extraction-with-aligned-large-language-models-around-human-centric-tasks/https://www.marktechpost.com/2024/05/11/uc-berkeley-researchers-introduce-learnable-latent-codes-as-bridges-lcb-a-novel-ai-approach-that-combines-the-abstract-reasoning-capabilities-of-large-language-models-with-low-level-action-policies/https://www.marktechpost.com/2024/05/11/aloe-a-family-of-fine-tuned-open-healthcare-llms-that-achieves-state-of-the-art-results-through-model-merging-and-prompting-strategies/https://www.theguardian.com/technology/article/2024/may/11/human-rights-lawyer-susie-alegre-ai-artificial-intelligence-human-rights-robot-wrongs-book-interviewOutline:(00:00:00) Introduction(00:00:54) Tsinghua University Researchers Propose ADELIE: Enhancing Information Extraction with Aligned Large Language Models Around Human-Centric Tasks(00:03:57) UC Berkeley Researchers Introduce Learnable Latent Codes as Bridges (LCB): A Novel AI Approach that Combines the Abstract Reasoning Capabilities of Large Language Models with Low-Level Action Policies(00:08:00) Aloe: A Family of Fine-tuned Open Healthcare LLMs that Achieves State-of-the-Art Results through Model Merging and Prompting Strategies(00:10:58) Human rights lawyer Susie Alegre: ‘If AI is so complex it can’t be explained, there are areas where it shouldn’t be used’