Large language model
Web agents today face limitations due to relying on single input modalities and using controlled environments for testing, hindering their effectiveness in real-world web interactions. However, ongoing research presents innovations such as WebVoyager, an LMM-powered web agent achieving 55.7% task success. Future work aims to enhance integration of visual and textual information.
Vision-Language Models (VLMs) combine visual and written inputs, using Large Language Models (LLMs) to enhance comprehension. However, they’ve shown limitations and vulnerabilities. Researchers have introduced the Red Teaming Visual Language Model (RTVLM) dataset, the first of its kind, designed to stress test VLMs in various areas. VLMs exhibit performance disparities and lack red teaming alignment,…
The integration of AI into software products introduces complex challenges for software engineers. The emergence of AI copilots, advanced systems enhancing user interactions, demonstrates promising solutions. However, there is a need for standardized tools and best practices to navigate the evolving landscape of AI-first development effectively. Read the full paper for in-depth insights.
We are creating a risk evaluation blueprint for large language models (LLMs) aiding in biological threat creation. Initial testing with biology experts and students found that GPT-4 only slightly improves accuracy. While inconclusive, this encourages further research and community discussion on the topic.
Italy’s data protection authority, Garante, probes OpenAI’s ChatGPT over potential GDPR violations. Concerns relate to mishandling of personal data, lack of age verification, and generation of inaccurate user information. OpenAI asserts GDPR compliance and minimal personal data inclusion. In the US, FTC investigates AI startups’ ties to tech giants, prompting calls for antitrust inquiries. Regulatory…
Shanghai AI Laboratory’s HuixiangDou, an AI assistant based on Large Language Models (LLM), addresses the flood of messages in technical group chats. It provides relevant responses without overwhelming the chat, enhancing efficiency. Using an advanced algorithm tailored to group chat environments, it significantly reduces irrelevant messages and enhances the precision of assistance. This represents a…
Taipy is an open-source Python library designed to assist data scientists and ML engineers in developing full-stack applications. It eliminates the need to learn additional languages like HTML, CSS, or JavaScript, allowing users to focus on their data and AI algorithms. Taipy simplifies the process, offering visual element creation, data pipeline management, and version control,…
InstantID is a zero-shot plugin that allows generative AI models to create consistent and personalized images using a single reference face image without the need for fine-tuning LoRAs. This poses both benefits and risks, including the potential for misuse in creating offensive or culturally inappropriate images. The tool is expected to revolutionize AI-generated image production.…
The impact of AI on the job market is significant, with over 60% of companies integrating AI and related technologies. Nearly 40% of jobs worldwide are affected by AI, with potential for automation in various sectors. The AI industry’s rapid growth is reflected in substantial funding, high demand for AI skills, and the creation of…
AI voice cloning technology is causing concern as its use becomes more widespread and harder to detect. Recent events, such as a controversial audio recording of a high school principal, highlight the potential for reputational damage and the challenges in verifying the authenticity of such recordings. The technology’s advancement raises complex issues and poses a…
Spade is an AI breakthrough in managing Large Language Models (LLMs) in data pipelines, addressing their unpredictability and error potential. By generating and filtering assertions based on prompt differences, it reduces redundancy and increases accuracy. In practical applications, Spade has notably decreased necessary assertions and false failures in LLM pipelines, showcasing its importance in advancing…
Recent developments in Multi-Modal (MM) pre-training have led to the creation of sophisticated MM-LLMs (MultiModal Large Language Models) by integrating Large Language Models (LLMs) with additional modalities. Models like GPT-4(Vision) and Gemini demonstrate remarkable capabilities in processing multimodal content. Research has focused on aligning and tuning various modalities in MM-LLMs to enhance their capabilities. Read…
Large language models (LLMs) have shown advancements in text generation for various domains. CoEdIT, an AI-based text editing system, excels in multiple tasks and provides guidance for writers. It surpasses other models in performance and effectively improves text rewriting processes. CoEdIT demonstrates potential for high-quality changes, generalization to new tasks, and supporting human authors.
The text discusses the introduction of multi-query attention (MQA) in large language models to expedite decoder inference, addressing the trade-offs in efficiency and quality. It emphasizes the benefits of uptraining language model checkpoints using MQA and proposes grouped-query attention (GQA) as an alternative approach. The objective is to enhance the efficiency of language models while…
Microsoft’s MetaOpt is a heuristic analyzer designed to evaluate and enhance heuristic performance before deployment in cloud environments. It offers insights, what-if analyses, and can learn from domains like traffic engineering and packet scheduling. Based on Stackelberg games, it simplifies heuristic input and aims to improve scalability and usability for cloud operators.
Microsoft’s deepening relationship with OpenAI has prompted scrutiny over competition within the AI sector. Civil society organizations, including Article 19, urge the EU and UK competition authorities to investigate the partnership’s potential anticompetitive impact. They emphasize the need for regulatory scrutiny to ensure fair competition and innovation in the AI domain.
A new pre-print study has shown GPT-4’s potential to aid in treating stroke patients. Analysing data from 100 patients, the AI’s treatment recommendations closely aligned with expert neurologists and real-world medical practice, demonstrated by a high Area Under the Curve (AUC) of 0.85 and 0.80, respectively. GPT-4 also accurately predicted 90-day post-stroke mortality risk.
SpeechGPT-Gen, developed by Fudan University researchers, revolutionizes speech generation using the Chain-of-Information Generation method. It separates semantic and perceptual processing, leading to significant improvements over traditional methods. The model excels in zero-shot text-to-speech, voice conversion, and speech-to-speech dialogue, showcasing its remarkable scalability and effectiveness in diverse applications. [49 words]
Language Agents are a groundbreaking development in computational linguistics, utilizing large language models to process information autonomously and tackle complex reasoning tasks. A critical challenge is managing uncertainty in language processing, which this research addresses through a novel method of integrating uncertainty estimation into agents’ decision-making process. The proposed Uncertainty-Aware Language Agent (UALA) method outperforms…
OpenAI CEO Sam Altman visited South Korea to meet with top Samsung Electronics and SK Group executives as part of efforts to bring AI chip production in-house. With plans to raise funds for chip fabrication plants and secure High Bandwidth Memory from Korean companies, OpenAI aims to reduce dependence on NVIDIA and Taiwan Semiconductor Manufacturing…