5 Beginner-Friendly Projects to Learn LLMs & RAG Kanwal Mehreen MachineLearningMastery.com
I believe in the ‘learning by doing’ approach—you learn more this way. I believe in the ‘learning by doing’ approach—you learn more this way. Read More
I believe in the ‘learning by doing’ approach—you learn more this way. I believe in the ‘learning by doing’ approach—you learn more this way. Read More
[[{“value”:” Large language models are good at many tasks but bad at complex reasoning, especially when it comes to math problems. Current In-Context Learning (ICL) methods depend heavily on carefully chosen examples and human help, which makes it hard to handle new problems. Traditional methods… Read More »Revolutionizing In-Context Learning: The HiAR-ICL Paradigm for Advanced Reasoning with MCTS Aswin Ak Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large Language Models (LLMs) are powerful tools for various applications due to their knowledge and understanding capabilities. However, they are also vulnerable to exploitation, especially in jailbreaking attacks in multi-round dialogues. Jailbreaking attacks exploit the complex and sequential nature of human-LLM interactions to subtly… Read More »Meet MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue Nazmi Syed Artificial Intelligence Category – MarkTechPost
[[{“value”:” Developing web agents is a challenging area of AI research that has attracted significant attention in recent years. As the web becomes more dynamic and complex, it demands advanced capabilities from agents that interact autonomously with online platforms. One of the major challenges in… Read More »ServiceNow Releases AgentLab: A New Open-Source Python Package for Developing and Evaluating Web Agents Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Allen Institute for AI (AI2) was founded in 2014 and has consistently advanced artificial intelligence research and applications. OLMo is a large language model (LLM) introduced in February 2024. Unlike proprietary models, OLMo is fully open-source, with its pre-training data, training code, and model… Read More »Allen Institute for AI: Open-Source Innovations with Ethical Commitments and Contributions in 2024 Mohammad Asjad Artificial Intelligence Category – MarkTechPost
[[{“value”:” The detailed study of the fly connectome has revolutionized neuroscience, offering insights into brain circuitry and its applications. Extending this progress to the mouse brain, which shares more structural similarities with the human brain, holds immense potential. It could provide the foundation for brain-inspired… Read More »E11 Bio Introduces PRISM: Revolutionizing Brain Connectomics for Scalable Neuroscience and AI Applications Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” Google DeepMind has introduced Genie 2, a multimodal AI model designed to reduce the gap between creativity and AI. Genie 2 is poised to redefine the future of interactive content creation, particularly in video game development and virtual worlds. Building upon the foundation of… Read More »Google DeepMind Introduces Genie 2: An Autoregressive Latent Diffusion Model for Virtual World and Game Creation with Minimal Input Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large language models (LLMs) have rapidly advanced multimodal large language models (LMMs), particularly in vision-language tasks. Videos represent complex, information-rich sources crucial for understanding real-world scenarios. However, current video-language models encounter significant challenges in temporal localization and precise moment detection. Despite extensive training in… Read More »TimeMarker: Precise Temporal Localization for Video-LLM Interactions Sajjad Ansari Artificial Intelligence Category – MarkTechPost
The remarkable advancements in Multimodal Large Language Models (MLLMs) have not rendered them immune to challenges, particularly in the context of handling deceptive information in prompts, thus producing hallucinated responses under such conditions. To quantitatively assess this vulnerability, we present MAD-Bench, a carefully curated benchmark… Read More »How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts Apple Machine Learning Research
[[{“value”:”*Equal Contributors Motivated by the problem of next word prediction on user devices we introduce and study the problem of personalized frequency histogram estimation in a federated setting. In this problem, over some domain, each user observes a number of samples from a distribution which… Read More »Private and Personalized Frequency Estimation in a Federated Setting Apple Machine Learning Research