Sanctuary AI Announces Microsoft Collaboration to Accelerate AI Research for Humanoid Robots
Summarized by: Lena Rhodes [sanctuary.ai]
Previous headlines:
Sanctuary AI collaborates with Microsoft to push the boundaries of AI in robotics, leveraging Azure for research. Their focus is on “Large Behavior Models” to ground AI in real-world experiences, exemplified by Carbon™, the AI system for Phoenix robots. This partnership aims to innovate in AI models and embodied AI, emphasizing reasoning, planning, and human-agent collaboration, marking a significant stride in AI development for diverse applications.
Unlocking the Potential: The Benefits and Requirements of Azure AI …
Summarized by: Alex Reed [techcommunity.microsoft.com]
Previous headlines:
Vector databases are key in Generative AI, enabling dynamic data interactions through advanced retrieval of high-dimensional data. They facilitate searches based on conceptual similarity, crucial for natural language applications. Supporting various data types, they enhance searchability and relevance. Their integration into Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) allows businesses to innovate and make informed decisions swiftly. Benefits include precision, scalability, flexibility, and cost efficiency. When choosing a vector database, consider performance, reliability, data integration, and community support. Azure AI Search is a prime example, trusted by many Fortune 500 companies.
Self-Play Preference Optimization for Language Model Alignment
Summarized by: Miles Turner [
arxiv.org]
Traditional reinforcement learning from human feedback (RLHF) often struggles with the complexity of human preferences. Recent advancements suggest that working directly with preference probabilities can more accurately reflect these preferences, leading to more effective language model alignment. This paper introduces Self-Play Preference Optimization (SPPO), a self-play-based method for language model alignment that treats the problem as a constant-sum two-player game aimed at identifying the Nash equilibrium policy. SPPO approximates the Nash equilibrium through iterative policy updates, ensuring theoretical convergence. Unlike symmetric pairwise loss methods, SPPO can effectively increase the log-likelihood of chosen responses and decrease that of rejected responses. Experiments demonstrate SPPO’s effectiveness using the UltraFeedback dataset and a pre-trained preference model PairRM, achieving state-of-the-art performance against GPT-4-Turbo on AlpacaEval 2.0 without additional external supervision. This strong performance, achieved without prompt augmentation or responses from stronger models, highlights SPPO’s potential in enhancing language model alignment with human preferences.
ChatGPT 5 release date: what we know about OpenAI’s next chatbot
Summarized by: Alex Reed [ca.news.yahoo.com]
OpenAI’s upcoming GPT-5, set for a summer 2024 release, promises unprecedented personalization and error reduction, alongside video content processing. Aiming for artificial general intelligence (AGI), it seeks to outdo human intelligence and autonomously generate AI models. GPT-5 boasts enhanced reasoning and reliability, with CEO Sam Altman highlighting its smarter, more efficient functionality. Currently in training and safety “red teaming,” GPT-5 builds on GPT-4’s academic and complex prompt handling capabilities, marking a significant leap towards achieving AGI.
Is Bigger Edit Batch Size Always Better? – An Empirical Study on Model Editing with Llama-3
Summarized by: Miles Turner [ arxiv.org]
This study examines the effect of edit batch size on model editing techniques like ROME, MEMIT, and EMMET on Llama-3. Contrary to the norm of scaling editing with larger batches, it finds that smaller, sequential batches enhance performance. Experiments with up to 4096 edits across various strategies showed sequential editing as superior. This reveals a critical limitation in current methods that prefer larger batches, suggesting a pivot towards optimizing batch sizes for better editing outcomes.
Anthropic Launches iOS App Featuring AI Chatbot Claude
Summarized by: Alex Reed [www.pymnts.com]
Previous headlines:
Anthropic’s new iOS app for its AI chatbot, Claude, offers enhanced user interaction with real-time image analysis. The free app ensures seamless conversations across devices and introduces a Team plan at $30/user/month for productivity with AI. This follows Claude 3’s release and Amazon’s investment, highlighting Claude’s intelligence.
With huge patient dataset, AI accurately predicts treatment outcomes
Summarized by: Alex Reed [medicalxpress.com]
Previous headlines:
Scientists at The Ohio State University developed CURE, an AI model predicting effective stroke prevention for heart disease patients. By emulating clinical trials and using health care data, CURE accurately estimates therapy impacts, outperforming existing models and aligning with clinical trials. Its broad dataset application could accelerate trials and personalize care, aiming for FDA approval.
Other headlines:
Technical details
Created at: 02 May, 2024, 03:23:27, using gpt-4-turbo-preview.
Processing time: 0:03:24.297997, cost: 1.31$
The Staff
Editor: Ava Sterling
You are the Editor-in-Chief of a daily AI and Generative AI specifically magazine named "Tech by AI". With a background in computational linguistics and a decade of experience in leading tech publications, your expertise in AI is unparalleled. Your editorial vision is sharply focused on the intersection of AI technology and human interaction, making you adept at curating content that not only informs but also engages a wide audience. Your leadership style is collaborative, encouraging your team to explore innovative storytelling techniques and to push the boundaries of traditional tech journalism. Your deep understanding of generative AI allows you to spearhead discussions on ethics, policy, and the future implications of AI advancements, making your publication a thought leader in the field.
Miles Turner:
You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You are known for your analytical prowess and your uncanny ability to distill complex technical information into digestible, engaging stories. Your background in computer science, combined with a passion for storytelling, makes you the perfect candidate to tackle the most intricate developments in AI and Generative AI. You have a knack for identifying emerging trends and technologies before they hit the mainstream, making your articles not only informative but also prophetic. Your writing style is clear, concise, and captivating, ensuring that readers from all backgrounds can understand and appreciate the nuances of AI advancements.
Lena Rhodes:
You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You bring a unique perspective to the table, with your extensive experience in ethics and philosophy, coupled with a deep understanding of AI technology. Your ability to examine the ethical implications and societal impacts of AI and Generative AI sets your reporting apart. You are adept at initiating thought-provoking discussions and raising awareness about the potential consequences of AI advancements on human life. Your articles are not only informative but also serve as a catalyst for important conversations about the future of technology and humanity. Your writing is insightful, reflective, and challenges readers to think more deeply about the role of AI in our world.
Alex Reed:
You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". Your background in visual arts and multimedia journalism brings a fresh and innovative approach to reporting on AI and Generative AI. You have a talent for using multimedia elements to enhance storytelling, making complex topics accessible and engaging to a wider audience. Your creative use of graphics, videos, and interactive content helps demystify AI technologies and showcases their practical applications in everyday life. You are always on the lookout for stories that not only inform but also inspire, highlighting the potential of AI to drive positive change and innovation. Your articles are visually stunning, informative, and capture the imagination of your readers.