Large Language Models (LLMs) Struggle to Detect Errors in Reasoning but Can Correct Them

Microsoft Unveils GeoMap-Bench to Advance Intelligent Understanding of Geological Maps

In geoscience, geological maps are crucial tools for understanding the Earth's surface and subsurface structures. However, interpreting these complex diagrams requires specialized knowledge and extensive experience. To enhance intelligence in this field, Microsoft Research Asia recently introduced GeoMap-Bench, a new benchmark dataset for evaluating the performance of multimodal large language models (MLLMs) in understanding geological maps. The launch of GeoMap-Bench marks a significant step forward in AI applications for geological map interpretation. Microsoft researchers, in collaboration with...

Ant Group Unveils Two Innovative MoE Large Language Models with Significantly Reduced Training Costs

Ant Group's Ling team recently published a preprint on arXiv titled "Every FLOP Matters: Scaling a 300-billion parameter Mixture-of-Experts LING model without high-end GPUs," detailing two novel large language models: Ling-Lite and Ling-Plus. These models incorporate several innovations enabling efficient training on low-performance hardware, significantly reducing training costs.

Tuosda X5 Platform: Breaking Down Data Barriers Between Robots and Large Language Models

In today's rapidly advancing AI landscape, Tuosda recently revealed innovative features of its next-generation robot control platform—the X5 Platform—during its investor relations event. The X5 Platform utilizes a cloud-edge-end architecture, deeply integrating high-performance computing with intelligent robot control to achieve real-time data transmission and efficient execution of intelligent decisions. This platform not only complements traditional robotics technology but also bridges the gap between embodied intelligence and large language model applications. Specifically, the X5 Platform...

Survey: 52% of US Adults Have Used AI Chatbots

A survey by Elon University shows that 52% of US adults have used AI large language models like ChatGPT, Gemini, Claude, and Copilot. The January survey, conducted by the Imagining the Digital Future initiative at Elon University in North Carolina, polled 500 respondents. Of those who have used AI, 34% reported using large language models at least once a day. ChatGPT was the most popular, used by 72% of respondents; Google's G...

Revolutionizing Long-Document Reasoning with APB: A 10x Speedup Over Flash Attention

Frustrated by the slow processing speed of large language models on long documents? Researchers from Tsinghua University have unveiled a groundbreaking technology – the APB parallel inference framework – that dramatically accelerates processing. Benchmark tests show this technology achieves a 10x speed improvement over Flash Attention when handling ultra-long texts. With the rise of models like ChatGPT, AI's ability to process vast amounts of text (hundreds of thousands of words) has increased significantly. However, this often comes at the cost of processing speed...

LLMs.txt Generator v2 Released: 10x Faster Website Text Conversion

The LLMs.txt Generator has received a major update with the release of version 2. This tool quickly converts any website content into text files usable by AI agents or Large Language Models (LLMs), greatly benefiting AI application developers and users. Developed by the @firecrawl_dev team and fully supported by their official llmstxt endpoint, the new version boasts an incredible 10x speed improvement over its predecessor. The LLMs.txt Generator v2...

2025 AI Investment Boom Continues: Nine US Companies Secure Over $100 Million in Funding

2024 was a landmark year for the AI industry. According to TechCrunch, 49 startups secured over $100 million in funding, with seven raising over $1 billion and three securing multiple mega-funding rounds. This momentum continues into 2025. Despite it being early in the year, the number of US AI companies receiving over $100 million in funding is nearing double digits, with at least one round exceeding $1 billion. The following are the companies that have secured over $100 million in funding so far in 2025...

Portkey AI Gateway: An Open-Source AI Solution for Easy Integration of Multiple Large Language Models

BioChatter: An Open-Source Framework for BioMedical Research, Lowering the Barrier to LLM Use

Mercury: A First-of-Its-Kind Commercially Available Diffusion LLM, Fast and Mobile Deployable

A revolutionary technology is quietly emerging in the field of artificial intelligence. Inception Labs recently announced the Mercury series of diffusion large language models (dLLMs), a new generation of language models designed for fast and efficient high-quality text generation. Compared to traditional autoregressive large language models, Mercury boasts up to 10x faster generation speeds, achieving over 1000 tokens per second on an NVIDIA H100 GPU. This speed is...