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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 a significant challenge.
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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 underpin systems like ...
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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 their 3D structures. Decoding their ...
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Natural Language Processing
Protein docking, the process of predicting the structure of protein-protein complexes, remains a complex challenge in computational biology. While advances like AlphaFold have transformed ...
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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, LLMs have emerged as very useful ...
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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 user recommendations. Traditional ...
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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 writing demand significant effort, leaving ...
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Introducing Parlant: The Open-Source Framework for Reliable AI Agents
If you have ever designed and implemented an LLM Model-based chatbot in production, you have encountered the frustration of agents failing to execute tasks reliably. These systems often lack ...
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Content-Adaptive Tokenizer (CAT): An Image Tokenizer that Adapts Token Count based on Image Complexity, Offering Flexible 8x, 16x, or 32x Compression
One of the major hurdles in AI-driven image modeling is the inability to account for the diversity in image content complexity effectively. The tokenization methods so far used are static compression ...
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13 Free AI Courses on AI Agents in 2025
In the ever-evolving landscape of artificial intelligence, the year 2025 has brought forth a treasure trove of educational resources for aspiring AI enthusiasts and professionals. AI agents, with ...
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This AI Paper Introduces Virgo: A Multimodal Large Language Model for Enhanced Slow-Thinking Reasoning
Artificial intelligence research has steadily advanced toward creating systems capable of complex reasoning. Multimodal large language models (MLLMs) represent a significant development in this ...
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Researchers from SynthLabs and Stanford Propose Meta Chain-of-Thought (Meta-CoT): An AI Framework for Improving LLM Reasoning
Large Language Models (LLMs) have significantly advanced artificial intelligence, particularly in natural language understanding and generation. However, these models encounter difficulties with ...