Explore adapting Large Language Models (LLMs) like Llama and Mistral for specialized fields like materials science. Learn about fine-tuning techniques (CPT, SFT, DPO/ORPO) and the power of SLERP model merging to enhance domain expertise and unlock emergent capabilities, particularly in larger models. Discover experimental findings and the impact of model scale.
AI developers misuse the 'open source' label, hiding crucial data and hindering scientific reproducibility. True openness, including data transparency, is vital for research integrity. This 'openwashing' undermines trust and may sidestep regulation. Clear standards like OSAID are needed to ensure AI tools are genuinely transparent and trustworthy for scientific progress.
Wall Street's sentiment on China shifts dramatically from 'uninvestable' pessimism to cautious optimism in 2024. Factors include Hong Kong's market rally, positive policy signals, and tech breakthroughs like DeepSeek AI. Despite lingering consumption concerns, China's potential contrasts with growing unease surrounding US equities amid inflation and trade uncertainty.
Explore how Mistral OCR's deep comprehension and Google's Gemma 3 models converge, revolutionizing document intelligence. Learn how structured Markdown output and advanced AI reasoning enable unprecedented accuracy and contextual awareness, moving beyond simple text extraction to true understanding of complex, multimodal documents.
Many AI firms misuse the 'open source' label, releasing code but hiding crucial data and compute details. This 'openwashing' undermines scientific integrity, reproducibility, and innovation. The research community must advocate for genuine transparency in AI systems, moving beyond misleading labels to uphold the true spirit of open collaboration and ensure trustworthy progress.
Evidence suggests Google's Gemini AI is heading to Wear OS, potentially debuting on the Pixel Watch. This could revolutionize wrist-based interactions, offering smarter replies, enhanced assistant features, and proactive insights, transforming wearables into intelligent companions. Privacy and technical challenges remain key considerations for this potential shift.
Explore the dynamic AI landscape shaped by US regulations, chip controls targeting China, and tech giant rivalries. See moves by Nvidia, OpenAI, Apple, and Google amid market anxieties about AI bubbles, job displacement, and the growing role of AI in defense. Navigating innovation versus risk.
Alibaba introduces QVQ-Max, an AI model designed for visual reasoning. It goes beyond text to see, understand, and think about visual content like images and videos. This marks a step towards AI that integrates sight with comprehension, unlocking new applications across various fields by interpreting visual data more like humans do.
Alibaba Cloud unveils Qwen2.5-Omni-7B, an open-source multimodal AI model handling text, image, audio, and video. It offers real-time responses, challenging global competitors like OpenAI and Google, aiming to boost accessibility, creativity, and Alibaba's cloud ecosystem. This release signifies a major step in generative AI.
Elon Musk merges social media platform X into his AI venture, xAI. The deal values X at $33 billion effectively, below the purchase price but showing recovery. Musk cites synergy between X's data and xAI's models, aiming for an $80 billion combined valuation amidst X's recent turbulence and Musk's AI ambitions and political ties.
