This AI Paper Introduces GAVEL: A System Combining Large Language Models and Evolutionary Algorithms for Creative Game Design

Research from ETH Zurich and Microsoft introduces SliceGPT, a post-training sparsification scheme for large language models (LLMs). It reduces the embedding dimension, leading to faster inference without extra code optimization. The method utilizes computational invariance in…

The CMMMU benchmark has been introduced to bridge the gap between powerful Large Multimodal Models (LMMs) and expert-level artificial intelligence in tasks involving complex perception and reasoning with domain-specific knowledge. It comprises 12,000 Chinese multimodal questions…

Large language models (LLMs) excel at text-based natural language processing tasks through creative prompt engineering and in-context learning. However, their performance on spoken language understanding (SLU) tasks relies heavily on speech-to-text conversion by an off-the-shelf automation…

Revolutionizing AI with Mamba: A Survey of Its Capabilities and Future Directions Deep learning has transformed various domains, with Transformers standing out as a dominant architecture. However, the quadratic computational complexity of Transformers when processing lengthy…

Understanding the Five Levels of Agentic AI Architectures This tutorial presents a structured exploration of five levels of Agentic AI architectures. These vary from basic prompt-response functions to advanced systems capable of fully autonomous code generation…

Challenges in Current Memory Systems for LLM Agents Current memory systems for large language model (LLM) agents often lack flexibility and dynamic organization. They typically rely on fixed memory structures, making it difficult to adapt to…

The growth of AI, predominantly with Transformers, advances conversational AI and image generation. Traditional methods excel in complex planning, highlighting Transformer limitations. Searchformer, a new Transformer model introduced by Meta, improves planning efficiency, combining Transformer strengths…

The rise of deep fakes poses a significant challenge for the AI industry. In 2023, there has been an influx of deep fake images and voice recordings, including fake news related to the Israel-Hamas conflict. The…

The Power of OpenELM: Enhancing Language Models with Transparency and Efficiency The release of OpenELM brings forth a state-of-the-art open language model that prioritizes reproducibility and transparency. By using a layer-wise scaling strategy, OpenELM efficiently allocates…

Warner Music is collaborating with Edith Piaf’s estate to create a groundbreaking 90-minute animated biopic of the French singer. The project will utilize AI technology to recreate Piaf’s voice. The film, titled “Edith,” will combine animation…

The United States, United Kingdom, and 16 other partners have released comprehensive guidelines for developing secure artificial intelligence systems. Led by the U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the UK’s National Cyber Security Centre…

Graph methods can be used to perform inference on tabular datasets in machine learning tasks. By representing tabular data as a graph, new possibilities for prediction and inference can be opened up. The article demonstrates the…

Humboldt: A Specification-based System Framework for Generating a Data Discovery UI from Different Metadata Providers Practical Solutions and Value Enhancing Data Discovery Data discovery has become increasingly challenging due to the proliferation of data analysis tools…

Understanding OpenAI’s o1 Model for Advanced Reasoning Artificial intelligence has improved a lot, but there are still challenges, especially in advanced reasoning. Many AI models struggle with generalization and logical thinking. This is particularly noticeable in…

Practical AI Framework for Large-Scale LLM Agent Systems Revolutionizing Agent Cooperation Large Language Models (LLMs) have evolved into powerful tools for complex planning and cognitive tasks, paving the way for LLM-powered multi-agent systems (LLM-MA systems). These…

Machine Learning for Predictive Modeling Machine learning helps predict outcomes based on input data. A key challenge is “domain adaptation,” which deals with differences between training and real-world scenarios. This is crucial in fields like finance,…

Summary: The company is introducing new embedding models, GPT-4 Turbo, moderation models, and API usage management tools. Additionally, they plan to lower pricing for GPT-3.5 Turbo in the near future.

MIT had a remarkable year in 2023, from President Sally Kornbluth’s inauguration to breakthroughs in various fields. Highlights include AI developments, Nobel Prize wins, climate innovations, and advancements in health and art. MIT remained at the…