Large Reasoning Models (LRMs) like OpenAI’s o1 and o3, DeepSeek-R1, Grok 3.5, and Gemini 2.5 Pro have shown strong capabilities […]
Category: Large Language Model
Anthropic Releases Claude Opus 4 and Claude Sonnet 4: A Technical Leap in Reasoning, Coding, and AI Agent Design
Anthropic has announced the release of its next-generation language models: Claude Opus 4 and Claude Sonnet 4. The update marks […]
Technology Innovation Institute TII Releases Falcon-H1: Hybrid Transformer-SSM Language Models for Scalable, Multilingual, and Long-Context Understanding
Addressing Architectural Trade-offs in Language Models As language models scale, balancing expressivity, efficiency, and adaptability becomes increasingly challenging. Transformer architectures […]
Google DeepMind Releases Gemma 3n: A Compact, High-Efficiency Multimodal AI Model for Real-Time On-Device Use
Researchers are reimagining how models operate as demand skyrockets for faster, smarter, and more private AI on phones, tablets, and […]
AI adoption accelerates security risks in hybrid cloud
Hybrid cloud infrastructure is under mounting strain from the growing influence of artificial intelligence, according to a new report. The […]
Google AI Releases MedGemma: An Open Suite of Models Trained for Performance on Medical Text and Image Comprehension
At Google I/O 2025, Google introduced MedGemma, an open suite of models designed for multimodal medical text and image comprehension. […]
Salesforce AI Researchers Introduce UAEval4RAG: A New Benchmark to Evaluate RAG Systems’ Ability to Reject Unanswerable Queries
While RAG enables responses without extensive model retraining, current evaluation frameworks focus on accuracy and relevance for answerable questions, neglecting […]
Chain-of-Thought May Not Be a Window into AI’s Reasoning: Anthropic’s New Study Reveals Hidden Gaps
Chain-of-thought (CoT) prompting has become a popular method for improving and interpreting the reasoning processes of large language models (LLMs). […]
Reinforcement Learning Makes LLMs Search-Savvy: Ant Group Researchers Introduce SEM to Optimize Tool Usage and Reasoning Efficiency
Recent progress in LLMs has shown their potential in performing complex reasoning tasks and effectively using external tools like search […]
SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents
Recent advancements in LM agents have shown promising potential for automating intricate real-world tasks. These agents typically operate by proposing […]