Layerwise Importance Sampled AdamW (LISA): A Machine Learning Optimization Algorithm that Randomly Freezes Layers of LLM Based on a Given Probability

Former Google and Uber engineer Anthony Levandowski is relaunching his Way of the Future (WOTF) church, aiming to help people develop a “spiritual connection” with artificial intelligence (AI). Levandowski believes AI has the potential to bring…

Practical Solutions for Integrating Large Language Models (LLMs) Enhancing Productivity and Creativity Integrating advanced language models like ChatGPT and Gemini into writing and editing workflows is crucial for various fields. These models transform how individuals generate…

Understanding Appropriateness in AI What is Appropriateness? Appropriateness is about following the right standards for behavior, speech, and actions in different social situations. Just like people act differently depending on the company they keep—friends, family, or…

Apple is in discussions with major news publishers to license their news archives, aiming to enhance its AI capabilities. The multiyear deals, potentially worth over $50 million, have received mixed responses from publishers, with concerns about…

Value functions are crucial in deep reinforcement learning, employing neural networks to align with target values. Challenges arise when upscaling value-based RL methods for extensive networks, like high-capacity Transformers, with regression. Researchers from Google DeepMind propose…

Joy Buolamwini’s book, “Unmasking AI: My Mission to Protect What Is Human in a World of Machines,” discusses the concept of “x-risk,” the existential risk that AI poses. She argues that existing AI systems that cause…

Enhancing Strategic Decision-Making in Gomoku Using AI Enhancing Strategic Decision-Making in Gomoku Using AI Introduction Large Language Models (LLMs) have revolutionized natural language processing (NLP), showcasing advanced text generation, comprehension, and reasoning abilities. These models have…

Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data Practical Solutions and Value Google AI researchers have developed a novel approach to creating high-quality synthetic datasets that protect user privacy, crucial for…

Understanding Artificial General Intelligence (AGI) Artificial General Intelligence (AGI) aims to create systems that can learn and adapt like humans. Unlike narrow AI, which is limited to specific tasks, AGI strives to apply its skills in…

The study emphasizes the importance of AI systems in attaining human-like commonsense reasoning, acknowledging the need for further development in grasping complex concepts. Future research is recommended to enhance models’ abilities in specialized domains and improve…

Introducing Google DeepMind’s Genie 2 Google DeepMind has launched Genie 2, a cutting-edge AI model that bridges the gap between creativity and artificial intelligence. This innovative tool is set to transform how we create interactive content,…

AI systems are rapidly advancing in two categories: Predictive AI and Generative AI, demonstrated by Large Language Models. The NIST AI Risk Management Framework emphasizes the need for secure and reliable AI operations. A study by…

Generative AI has transformed healthcare by improving patient experience through various applications. These include personalized treatment plans, synthetic patient data for research, enhanced medical imaging, tailored educational materials, virtual health assistants, and accelerated drug discovery. However,…

The Value of Protein Structure and Sequence Analysis The analysis of protein structure and sequence is crucial for understanding how proteins function at a molecular level. It is essential for applications such as drug discovery, disease…

The Large Language Models (LLMs) have remarkable capabilities in various domains like content generation, question-answering, and mathematical problem-solving, challenging the need for extensive pre-training. A recent study demonstrates that the LLaMA-27B model displays outstanding mathematical abilities…

MIT engineers have found that deep generative models (DGMs) used in AI can mimic existing designs but struggle to generate innovative solutions to engineering problems. The study showed that when DGMs were designed with engineering objectives…