Artificial General Intelligence (AGI) seeks to create systems that can perform various tasks, reasoning, and learning with human-like adaptability. Unlike […]
Category: Large Language Model
Google AI Just Released TimesFM-2.0 (JAX and Pytorch) on Hugging Face with a Significant Boost in Accuracy and Maximum Context Length
Time-series forecasting plays a crucial role in various domains, including finance, healthcare, and climate science. However, achieving accurate predictions remains […]
Microsoft AI Introduces rStar-Math: A Self-Evolved System 2 Deep Thinking Approach that Significantly Boosts the Math Reasoning Capabilities of Small LLMs
Mathematical problem-solving has long been a benchmark for artificial intelligence (AI). Solving math problems accurately requires not only computational precision […]
Can LLMs Design Good Questions Based on Context? This AI Paper Evaluates Questions Generated by LLMs from Context, Comparing Them to Human-Generated Questions
Large Language Models (LLMs) are used to create questions based on given facts or context, but understanding how good these […]
This AI Paper from Walmart Showcases the Power of Multimodal Learning for Enhanced Product Recommendations
In the rapid advancement of personalized recommendation systems, leveraging diverse data modalities has become essential for providing accurate and relevant […]
Meet KaLM-Embedding: A Series of Multilingual Embedding Models Built on Qwen2-0.5B and Released Under MIT
Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. These models […]
Evola: An 80B-Parameter Multimodal Protein-Language Model for Decoding Protein Functions via Natural Language Dialogue
Proteins, essential molecular machines evolved over billions of years, perform critical life-sustaining functions encoded in their sequences and revealed through […]
This AI Paper Explores Quantization Techniques and Their Impact on Mathematical Reasoning in Large Language Models
Mathematical reasoning stands at the backbone of artificial intelligence and is highly important in arithmetic, geometric, and competition-level problems. Recently, […]
AMD Researchers Introduce Agent Laboratory: An Autonomous LLM-based Framework Capable of Completing the Entire Research Process
Scientific research is often constrained by resource limitations and time-intensive processes. Tasks such as hypothesis testing, data analysis, and report […]
From Contradictions to Coherence: Logical Alignment in AI Models
Large Language Models (LLMs) aim to align with human preferences, ensuring reliable and trustworthy decision-making. However, these models acquire biases, […]