New research highlights the promising potential of Claude 3.5 Computer Use as the first AI model to perform end-to-end language to desktop actions through a GUI agent, while providing a framework for easy deployment and shedding light on its capabilities and limitations for…

New research unveils a novel agent architecture using LLMs to simulate human attitudes and behaviors, achieving an 85% replication accuracy on social survey responses and reducing biases across racial and ideological groups, paving the way for advanced tools in understanding…

New research introduces a comprehensive dataset of over 1.1 million podcast transcripts, complete with audio features and speaker information, enabling foundational computational analysis of podcast content, structure, and engagement.: emergentmind.com/search?q=2411.…

New research highlights the importance of AgentOps platforms with robust observability and traceability features to enhance the reliability of foundation model-based autonomous agents throughout their development and production lifecycle.: emergentmind.com/search?q=2411.…

New research introduces a benchmark called RapidResponseBench, showcasing a rapid response defense technique that significantly reduces jailbreak attack success by fine-tuning an input classifier with proliferated examples, demonstrating the potential of quickly adapting to new…

New research introduces BhasaAnuvaad, a comprehensive dataset covering 13 Indian languages and English with over 44,400 hours of speech and 17 million text segments, aiming to enhance Automatic Speech Translation systems for under-resourced Indian languages where current models…

New research introduces MoICL, an innovative method enhancing in-context learning by selectively treating demonstration subsets as experts, resulting in improved classification performance, reduced inference time, and increased robustness to challenging data conditions.:…

New research introduces OpenCoder, an open-access large language model for code that rivals leading proprietary models by transparently providing all training data, protocols, and methodologies, thus enabling reproducible scientific advancements in code AI.:…

#changelog More social metrics in the trending list. 👉 updates.emergentmind.com/more-social-me…

#changelog YouTube Video Improvements. As many of you know, when you view a paper in Emergent Mind it includes a list of YouTube videos that mention that paper. 👉 updates.emergentmind.com/youtube-video-…

New research highlights that Small Language Models (SLMs) are becoming essential for resource-constrained and specialized domains due to their low latency, cost-efficiency, and customization potential, while a comprehensive survey provides frameworks to enhance and define their…

#changelog Direct PDF links. Everywhere you see a paper referenced in Emergent Mind, there's now a PDF link that you can use to jump straight to the PDF on arXiv: The citation links (like "Amini et al. 👉 updates.emergentmind.com/direct-pdf-lin…

Currently have two Ruby scripts running: First one is downloading the arXiv PDF dataset from GCP to a 2 terabyte external hard drive. Second one is uploading just the computer science PDFs from that external hard drive to Azure storage for eventual incorporation in Emergent…

New research introduces WebRL, a reinforcement learning framework that transforms open LLMs into highly effective web agents, significantly boosting their success rates and outperforming proprietary models like GPT-4-Turbo, offering a promising avenue for developing accessible…

New research introduces Multi-expert Prompting, an enhancement to improve large language model responses, boosting truthfulness by 8.69% and outperforming previous methods in creating more factual, informative, and less toxic outputs without requiring manual prompt construction.:…

New research presents Hunyuan-Large, a 389B parameter open-source Transformer model that surpasses LLama3.1-70B in diverse tasks and rivals LLama3.1-405B, utilizing innovative strategies like mixed expert routing and large-scale synthetic data.: emergentmind.com/search?q=2411.…

Need an easier way to keep up with AI research? Meet Emergent Mind by @mhmazur It pulls the latest papers, synthesizes insights, and aggregates discussions from 𝕏, Reddit, GitHub, and more. Stay updated & dive deeper into topics in seconds:

New research demonstrates that academic researchers can feasibly pre-train large models by optimizing settings, as shown by replicating Pythia-1B on fewer GPUs and resources, making pre-training more accessible in academic settings.: emergentmind.com/search?q=2410.…

New research demonstrates that integrating multimodal models into Retrieval Augmented Generation systems enhances performance in the industrial domain, particularly when utilizing textual summaries from images, despite challenges in image retrieval.: emergentmind.com/search?q=2410.…

New research introduces the WACK approach to distinguish and better detect hallucinations in LLMs by highlighting variations across models, improving accuracy by using model-specific datasets rather than generic ones.: emergentmind.com/search?q=2410.…