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Researchers from the University of Washington and NVIDIA Propose Humanoid Agents: An Artificial Intelligence Platform for Human-like Simulations of Generative Agents
Researchers from the University of Washington and the University of Hong Kong have proposed a human-like generative agent system that mimics human behavior. The system uses a two-system mechanism, inspired by human psychology, to guide generative agents and introduces aspects like basic needs, emotions, and social relationships to influence their behavior. The agents interact with…
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AI Sales Bot Version 1.4
Introducing AI Sales Bot Version 1.4Web Integration, Enhanced Admin Communication, and Advanced AI Learning Models AI Lab itinai.com is proud to announce the release of AI Sales Bot Version 1.4, ushering in a new level of connectivity, functionality, and intelligence in managing customer interactions and admin communications. With a broadened scope of integration and improved…
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UK report lists potential AI risks and doomsday scenarios
The UK government has released a report on the capabilities and risks of frontier AI models, which will be discussed at the upcoming AI Safety Summit. The report acknowledges the potential benefits of AI but also highlights the risks and doomsday scenarios associated with it. These risks include AI pursuing autonomy and humans becoming irreversibly…
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Researchers from Yale and Google DeepMind Unlock Math Problem-Solving Success with Advanced Fine-Tuning Techniques on Large Language Models
Large language models (LLMs) like GPT-4 and PaLM 2 struggle with mathematical problem-solving due to the need for imagination, reasoning, and computation. However, with multiple attempts, LLMs show potential for improvement. Fine-tuning techniques such as supervised step-by-step solution fine-tuning, solution-cluster reranking, and sequential multi-tasking fine-tuning can enhance LLMs’ ability to generate and evaluate solutions. The…
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The 14% Conversion Rate Growth Story: Unravelling JOE & THE JUICE’s Dynamic Partnership with Pixis AI
Danish urban oasis, JOE & THE JUICE, has expanded to over 250 European locations and is now making its mark in the US and the Middle East. They turned to Pixis, an AI solution, to streamline their marketing efforts and target audiences effectively. By leveraging Pixis’ AI infrastructure, Joe & The Juice achieved a 14%…
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A Deep Dive into the Safety Implications of Custom Fine-Tuning Large Language Models
A recent collaborative study by IBM Research, Princeton University, and Virginia Tech highlights the security risks associated with fine-tuning large language models (LLMs). The research reveals that even a small number of harmful entries in a seemingly benign dataset can compromise the security of LLMs. The study emphasizes the need for developers to balance customization…
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Bill Gates Doubts Major Advancements in ChatGPT 5
According to Bill Gates, Generative AI like ChatGPT has reached its peak and may not see significant improvements, even with the release of GPT-5. However, Gates acknowledges that he could be wrong. He believes AI will become more accurate and affordable in the next 2-5 years, benefiting people in poor countries. Gates is particularly excited…
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This AI Paper Presents Video Language Planning (VLP): A Novel Artificial Intelligence Approach that Consists of a Tree Search Procedure with Vision-Language Models and Text-to-Video Dynamics
Generative models are advancing in the field of Artificial Intelligence (AI). The concept of intelligent interaction with the physical environment requires planning at low and high levels. A research team from Google Deepmind, MIT, and UC Berkeley has proposed Video Language Planning (VLP) to combine text-to-video and vision-language models. VLP aims to facilitate visual planning…
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Meet LAMP: A Few-Shot AI Framework for Learning Motion Patterns with Text-to-Image Diffusion Models
Researchers have developed a few-shot-based tuning framework called LAMP for text-to-video (T2V) generation. Existing methods for T2V either require extensive data or result in aligning with template videos. LAMP addresses this challenge by using a few-shot approach, allowing a text-to-image diffusion model to learn motion patterns. It significantly improves video quality and generation freedom. LAMP…
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Woodpecker could solve multimodal LLM hallucinations
Woodpecker is a new approach that aims to fix hallucinations in Multimodal Large Language Models (MLLM), such as GPT-4V. By connecting the MLLM to the internet, Woodpecker allows the model to validate its generated descriptions using relevant internet data, leading to self-correction. It builds a visual knowledge base from the image and uses it to…