This AI Death Calculator Can Predict Your Death with 78% Accuracy

Engineers have created a fast and precise 3D inkjet printer that uses computer vision to regulate material deposition in real time. The printer can handle multiple materials, allowing for a diverse range of fabrication possibilities.

Google DeepMind researchers have introduced Chain-of-Thought (CoT) decoding, an innovative method that leverages the inherent reasoning capabilities within pre-trained large language models (LLMs). CoT decoding diverges from traditional prompting techniques, enabling LLMs to autonomously generate coherent…

The Evolution of AI and Its Limitations The rapid growth of AI has improved how machines understand and generate language. However, these advancements struggle with complex reasoning, long-term planning, and tasks that require deep context. Models…

Revolutionizing Protein Design with AI Solutions Transformative Tools in Protein Engineering Autoregressive protein language models (pLMs) are changing how we design functional proteins. They can create diverse enzyme families, such as lysozymes and carbonic anhydrases, by…

Enhancing LLMs’ Mathematical Reasoning with DotaMath Addressing Challenges in Mathematical Reasoning Large language models (LLMs) have made significant progress in natural language processing tasks but face challenges in complex mathematical reasoning. Researchers are working to enable…

Practical AI Solutions for Your Business LMMS-EVAL: A Unified and Standardized Multimodal AI Benchmark Framework Fundamental Large Language Models (LLMs) like GPT-4, Gemini, and Claude have shown remarkable capabilities, rivaling or surpassing human performance. To address…

Practical Solutions for Efficient AI Model Deployment Semi-Structured Pruning for Efficiency Implement N: M sparsity pattern to reduce memory and computational demands. Introducing MaskLLM for Enhanced Pruning MaskLLM by NVIDIA and NUS applies learnable N: M…

Researchers at Stanford University have developed a new training technique called Convex Optimization of Recurrent Neural Networks (CORNN) to improve the speed and scalability of training large-scale neural networks. CORNN has been shown to be 100…

Introduction to Archon Artificial intelligence has advanced significantly with Large Language Models (LLMs), impacting areas like natural language processing and coding. To enhance LLM performance during use, effective inference-time techniques are essential. However, the research community…

AI-generated disinformation is threatening the upcoming Bangladesh national elections. Pro-government groups are using AI tools to create fake news clips and deep fake videos to sway public opinion and discredit the opposition. The lack of robust…

Understanding the Challenges of Large Language Models (LLMs) Large Language Models (LLMs) have transformed artificial intelligence by excelling in complex reasoning and mathematical tasks. However, they struggle with basic numerical concepts, which are crucial for advanced…

Understanding LLM Inference Challenges Large Language Model (LLM) inference requires a lot of memory and computing power. To solve this, we use model parallelism strategies that share workloads across multiple GPUs. This helps reduce memory issues…

AtScale Open-Sourced Semantic Modeling Language (SML) Practical Solutions and Value AtScale has open-sourced its Semantic Modeling Language (SML) to provide a standard language for semantic modeling across platforms, fostering collaboration and interoperability in the analytics community.…

Large Language Models (LLMs) like ChatGPT have gained popularity for their human-imitating capabilities in tasks like question answering, text summarization, and language translation. However, the extent to which these models truly understand the underlying data-generating process…

Challenges in Customer Service Customer service teams are facing tough challenges today. They need to manage more customer inquiries while keeping service quality high. This balancing act is hard, especially when tools are not integrated and…

Enhancing AI Performance through Instruction Alignment Challenges in Aligning Large Language Models (LLMs) Aligning large language models (LLMs) with human instructions is a critical challenge in AI. Current LLMs struggle to generate accurate and contextually relevant…

Understanding Language Model Pre-Training The pre-training of language models (LMs) is essential for their ability to understand and generate text. However, a major challenge is effectively using diverse training data from sources like Wikipedia, blogs, and…