Generative AI: Differentiating disruptors from the disrupted

Practical Solutions for Improving Information Retrieval in Large Language Models Enhancing AI Capabilities with Retrieval Augmented Generation (RAG) Retrieval Augmented Generation (RAG) integrates contextually relevant, timely, and domain-specific information into Large Language Models (LLMs) to improve…

The development of multimodal AI assistants is on the rise, leveraging Large Language Models (LLMs) for understanding visual and written directions. While current models focus on image-text data, a study from Peking University and Kuaishou Technology…

Researchers have developed a framework called Language Models for Motion Control (LaMo) that incorporates Large Language Models (LLMs) for offline reinforcement learning. LaMo combines pre-trained LLMs with Decision Transformers (DT) and introduces innovations like LoRA fine-tuning…

“The Book of Why” Chapters 1&2 are part of the Read with Me series. For more information, visit Towards Data Science.

The ITIF report challenges the narrative of AI’s energy consumption as overblown and emphasizes the need for accurate information. It highlights the increasing efficiency of AI models and hardware, as well as the substitution effects of…

Student of Games (SoG) is a general-purpose algorithm developed by EquiLibre Technologies, Sony AI, Amii, Midjourney, and Google’s DeepMind project. It combines search, learning, and game-theoretic reasoning to achieve high performance in both perfect and imperfect…

Particle Swarm Optimization (PSO) is a nature-inspired algorithm used to find optimal solutions in complex, high-dimensional spaces, like supply chain problems. It utilizes ‘particles’ that represent candidate solutions, influenced by personal and global bests. PSO efficiently…

AI language models have been used by scientists to create new tools for analyzing speech patterns in patients with schizophrenia, allowing them to identify subtle signatures.

Enhancing Cross-Cultural Image Captioning with MosAIC Large Multimodal Models (LMMs) are great at various vision-language tasks, but they struggle with cross-cultural understanding. This is primarily due to biases in their training data, which hampers their ability…

Artificial Intelligence is revolutionizing various industries, including animation, video games, and film. However, Story-to-Motion, the task of translating written descriptions into natural human movement for characters, poses challenges. Existing approaches have limitations, but researchers have introduced…

Practical AI Solutions for Your Company If you want to evolve your company with AI, stay competitive, and use Poly-View Contrastive Learning to your advantage. Discover How AI Can Redefine Your Way of Work Identify Automation…

Pennsylvania congressional candidate Shamaine Daniels is utilizing an AI robocaller, Ashley, to communicate with prospective voters in multiple languages. Ashley allows for two-way communication, answering questions about Daniels’ campaign and policies. The use of AI in…

Revolutionizing AI Transparency and Reproducibility with Model Openness Framework (MOF) Challenges in AI Transparency and Reproducibility AI has transformed various sectors, but faces challenges in transparency and reproducibility, hindering trust and collaboration. Model Openness Framework (MOF)…

The Challenges of Implementing GPT-4: Common Pitfalls and How to Avoid Them 1. Understanding the Model’s Capabilities and Limitations Organizations must understand GPT-4’s strengths and weaknesses to set realistic expectations and identify suitable tasks. 2. Data…

Researchers from Google DeepMind and University College London conduct a comprehensive analysis of Large Language Models (LLMs) to evaluate their ability to engage in latent multi-hop reasoning. The study explores LLMs’ capacity to connect disparate pieces…

Ghostbuster is a new method for detecting AI-generated text. It addresses the problem of large language models, like ChatGPT, being used for ghostwriting assignments and producing text with factual errors. Ghostbuster works by finding the probability…

Generative AI tools like ChatGPT, DALLE-2, and CodeStarter have gained popularity in 2023. OpenAI’s ChatGPT has reached 100 million monthly active users within two months of its launch, becoming the fastest-growing consumer application. McKinsey predicts that…