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This AI Paper Introduces CLIN: A Continually Learning Language Agent that Excels in Both Task Adaptation and Generalization to Unseen Tasks and Environments in a Pure Zero-Shot Setup
CLIN (Continually Learning Language Agent) is an innovative architecture that allows language agents to adapt and improve their performance over time. It introduces a dynamic textual memory system that focuses on causal abstractions and enables the agent to learn and refine its performance. CLIN exhibits rapid adaptation and efficient generalization across diverse tasks and environments,…
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Researchers from Google and the University of Toronto Introduce Groundbreaking Zero-Shot Agent for Autonomous Learning and Task Execution in Live Computer Environments
Researchers from Google Research and the University of Toronto have developed a zero-shot agent for autonomous learning and task execution in live computer environments. The agent, built on top of PaLM2, a large language model, uses a single set of instruction prompts for all activities and demonstrates high task completion rates on the MINIWOB++ benchmark.…
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Can AI grasp related concepts after learning only one?
A new technique called Meta-learning for Compositionality improves the capability of tools like ChatGPT to make compositional generalizations. It surpasses current methods and even matches or exceeds human performance in some cases.
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Image Search in 5 Minutes
This post describes the implementation of text-to-image search and image-to-image search using a pre-trained model called uform, which is inspired by Contrastive Language Image Pre-Training (CLIP). The post provides code snippets for implementing these search functions and explains how cosine similarity is used to calculate similarity between text and images. The results of the searches…
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10 Ways to Build Customer Trust in AI
Customers still have mistrust towards AI systems due to concerns about privacy, job displacement, transparency, ethics, and loss of human connections. To build customer trust in AI, CX leaders can educate customers about AI capabilities, provide clear explanations, emphasize AI-augmented human decision-making, ensure unbiased algorithms, establish robust data privacy measures, promote AI accountability, offer reliable…
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New US AI hardware export bans to come into effect immediately
Nvidia has been instructed by the US government to halt its sales of AI computer chips to China. The ban, which was expected in November, will take immediate effect. Nvidia, however, claims that it does not anticipate a significant impact on its financial results due to the strong global demand for its products. The new…
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Report suggests AI is central to the rise of fake child sexual abuse images
The Internet Watch Foundation (IWF) has warned of the alarming rate at which AI is being used to create child sexual abuse images, posing a significant threat to internet safety. The UK-based watchdog has identified nearly 3,000 AI-generated images violating UK laws, including images of actual abuse victims and underage celebrities. The use of AI…
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Tracking every pixel: motion estimation with OmniMotion
The latest motion estimation method extracts long-term motion trajectories for each pixel, even in fast movements and complex scenes. OmniMotion explores this exciting technology and discusses the future of motion analysis.
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Big Tech AI companies launch $10 million AI Safety Fund
Anthropic, Google, Microsoft, and OpenAI have established the Frontier Model Forum, with goals to set AI safety standards, evaluate frontier models, and ensure responsible development. Chris Meserole, the former Director of the Artificial Intelligence and Emerging Technology Initiative at the Brookings Institution, has been appointed as the Executive Director. The Forum aims to advance AI…
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Meet LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
PLMs have transformed Natural Language Processing, but their computational and memory needs pose challenges. The authors propose LoftQ, a quantization framework for pre-trained models. They combine low-rank approximation and quantization to approximate high-precision weights. Results show LoftQ outperforms QLoRA in various tasks, with improved performance in Rouge-1 for XSum and CNN/DailyMail using 4-bit quantization. Further…