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Ant-Inspired Neural Network Boosts Robot Navigation
Researchers from the Universities of Edinburgh and Sheffield are creating an artificial neural network inspired by ants to assist robots in identifying and recalling paths in intricate natural surroundings.
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Researchers jailbreak GPT-4 using low-resource languages
The latest research from Brown University reveals that using low-resource languages (LRL) like Zulu or Scots Gaelic can cause GPT-4, an AI model, to produce unsafe responses, despite its alignment guardrails. When prompted in these languages, GPT-4 was more likely to provide illicit advice, with rates as high as 53%. This highlights the need for…
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Meet LLMWare: An All-in-One Artificial Intelligence Framework for Streamlining LLM-based Application Development for Generative AI Applications
Ai Bloks has introduced LLMWare, an open-source library for developing enterprise applications based on Large Language Models (LLMs). The framework provides a unified development environment, wide model and platform support, scalability, and examples for developers of all levels. LLMWare can be accessed via GitHub and installed as a Python library. It aims to streamline the…
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Mastering the Future: Evaluating LLM-Generated Data Architectures leveraging IaC technologies
The article discusses the suitability of Large Language Models (LLMs) for generating Infrastructure as Code (IaC) to provision, configure, and deploy modern applications. It explores the benefits of IaC solutions and the risks of vendor locking. It also explains the capabilities of LLMs, with a focus on text generation. The article then presents a use…
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Selecting the Right RLHF Platform in 2023
Companies are exploring ways to incorporate AI solutions into their business operations as the technology becomes more widespread and intricate. Selecting the appropriate RLHF platform in 2023 is crucial for leveraging AI effectively in their journey of implementation.
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US Tightens Rules on Chip Sales to China to Curb AI Development
The United States will introduce new rules to make it more difficult for China to obtain advanced chipsets for artificial intelligence (AI). These rules aim to prevent China from exploiting any remaining loopholes and limit the sale of graphics chips used in AI to Chinese companies. Companies will require a special license to send certain…
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Can Language Models Replace Programmers? Researchers from Princeton and the University of Chicago Introduce SWE-bench: An Evaluation Framework that Tests Machine Learning Models on Solving Real Issues from GitHub
The SWE-bench evaluation framework, developed by researchers from Princeton University and the University of Chicago, focuses on assessing the ability of language models (LMs) to solve real-world software engineering challenges. The findings reveal that even advanced LMs struggle with complex tasks, emphasizing the need for further advancements in LM technology. The researchers propose expanding the…
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Adobe previews generative AI for editing video and audio
Adobe showcased experimental generative AI tools for video and audio editing at its Adobe Max conference. Project Fast Fill allows editors to easily add or remove elements in video scenes using text prompts, while Project Scene Change enables composite scenes from videos shot at different angles. Project Dub Dub Dub automates the dubbing process, and…
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NVIDIA AI Unveils SteerLM: A New Artificial Intelligence Method that Allows Users to Customize the Responses of Large Language Models (LLMs) During Inference
NVIDIA Research has introduced SteerLM, a groundbreaking technique that enables users to customize the responses of large language models (LLMs). SteerLM simplifies the customization process through a four-step supervised fine-tuning process, allowing users to define key attributes that guide the model’s behavior. The standout feature of SteerLM is its real-time adjustability, which allows users to…
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Google Quantum AI Presents 3 Case Studies to Explore Quantum Computing Applications Related to Pharmacology, Chemistry, and Nuclear Energy
Google Quantum AI is conducting collaborative research to identify problems where quantum computers outperform classical ones and design practical quantum algorithms. Recent endeavors involve studying enzyme chemistry, exploring alternatives for lithium-ion batteries, and modeling materials for inertial confinement fusion experiments. While practical quantum computers are not yet available, this research informs the hardware specifications required…