Large Multimodal Models (LMMs) have demonstrated remarkable capabilities when trained on extensive visual-text paired data, advancing multimodal understanding tasks significantly.…
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Scalable and Principled Reward Modeling for LLMs: Enhancing Generalist Reward Models RMs with SPCT and Inference-Time Optimization
Reinforcement Learning RL has become a widely used post-training method for LLMs, enhancing capabilities like human alignment, long-term reasoning, and…
Lees meerTransformer Meets Diffusion: How the Transfusion Architecture Empowers GPT-4o’s Creativity
OpenAI’s GPT-4o represents a new milestone in multimodal AI: a single model capable of generating fluent text and high-quality images…
Lees meerThis AI Paper from Anthropic Introduces Attribution Graphs: A New Interpretability Method to Trace Internal Reasoning in Claude 3.5 Haiku
While the outputs of large language models (LLMs) appear coherent and useful, the underlying mechanisms guiding these behaviors remain largely…
Lees meerAnthropic’s Evaluation of Chain-of-Thought Faithfulness: Investigating Hidden Reasoning, Reward Hacks, and the Limitations of Verbal AI Transparency in Reasoning Models
A key advancement in AI capabilities is the development and use of chain-of-thought (CoT) reasoning, where models explain their steps…
Lees meerReducto AI Released RolmOCR: A SoTA OCR Model Built on Qwen 2.5 VL, Fully Open-Source and Apache 2.0 Licensed for Advanced Document Understanding
Optical Character Recognition (OCR) has long been a cornerstone of document digitization, enabling the transformation of printed text into machine-readable…
Lees meerMeta AI Just Released Llama 4 Scout and Llama 4 Maverick: The First Set of Llama 4 Models
Today, Meta AI announced the release of its latest generation multimodal models, Llama 4, featuring two variants: Llama 4 Scout…
Lees meerScalable Reinforcement Learning with Verifiable Rewards: Generative Reward Modeling for Unstructured, Multi-Domain Tasks
Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective in enhancing LLMs’ reasoning and coding abilities, particularly in domains where…
Lees meerNVIDIA AI Released AgentIQ: An Open-Source Library for Efficiently Connecting and Optimizing Teams of AI Agents
Enterprises increasingly adopt agentic frameworks to build intelligent systems capable of performing complex tasks by chaining tools, models, and memory…
Lees meerMeet GenSpark Super Agent: The All-in-One AI Agent that Autonomously Think, Plan, Act, and Use Tools to Handle All Your Everyday Tasks
GenSpark Super Agent (often just called GenSpark) is a new general-purpose AI agent designed to autonomously handle complex tasks across…
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