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Creating a Custom Tokenizer with Tiktoken Overview In this tutorial, we will show you how to build a custom tokenizer using the **Tiktoken** library. This process includes loading a pre-trained model, defining key tokens, and testing…

Practical Solutions for Efficient Traffic Forecasting Challenges in Traffic Forecasting: Traffic forecasting plays a crucial role in smart city management, but traditional models struggle with the complexity of large-scale road networks like California’s. New deep learning…

Embedić: Revolutionizing Serbian Language Processing Key Highlights: – Novak Zivanic introduces Embedić, a suite of Serbian text embedding models. – Models optimized for Information Retrieval and Retrieval-Augmented Generation (RAG) tasks. – Efficient smallest model surpasses previous…

The Role of AI in Multi-Omics Analysis for NSCLC Treatment: Practical Solutions and Value: AI technologies streamline labor-intensive multi-omics data analysis in cancer research. AI systems identify patterns and biomarkers for precise predictive models in personalized…

Qdrant Unveils BM42: A Cutting-Edge Pure Vector-Based Hybrid Search Algorithm Optimizing RAG and AI Applications Practical Solutions and Value Qdrant, a leading provider of vector search technology, introduces BM42, a new algorithm designed to revolutionize hybrid…

Introduction to Phi-4 Large language models have improved significantly in understanding language and solving complex problems. However, they often require a lot of computing power and large datasets, which can be problematic. Many datasets lack the…

Understanding the Importance of Curiosity-Driven Reinforcement Learning from Human Feedback (CD-RLHF) What are Large Language Models (LLMs)? Large Language Models (LLMs) are advanced AI systems that require fine-tuning to perform tasks like code generation, solving math…

Large language models like ChatGPT may absorb and perpetuate racist biases, as seen in recent research. Despite efforts to mitigate overt racism, the models display covert stereotypes, particularly against African-American English speakers. Feedback training to address…

The article introduces a novel method called Decaf, which captures face and hand interactions and facial deformations using monocular RGB videos. It addresses challenges such as depth ambiguity and lack of training datasets for non-rigid deformations.…

Generative AI in academia spurs debate without clear answers on its role, plagiarism, and permissible use. A study shows students and educators divided, seeking policy clarity. Concerns include detection of AI use, the risk of mental…

This text discusses the advancements in language modeling through the use of large language models (LLMs) and the challenges faced in optimizing these models for distributed training. It introduces an innovative asynchronous method that combines delayed…

FlashAttention-3: Revolutionizing Attention Mechanisms in AI Practical Solutions and Value FlashAttention-3 addresses bottlenecks in Transformer architectures, enhancing performance for large language models and long-context processing applications. It minimizes memory reads and writes, accelerating Transformer training and…

AI company VERSES made a bold statement with a billboard outside OpenAI’s headquarters, challenging them to collaborate on achieving Artificial General Intelligence (AGI). VERSES CEO Gabriel René called for OpenAI to honor their commitment to support…

Understanding Machine Learning with Concept-Based Explanations Machine learning can be explained more intuitively by using concept-based methods. These methods help us understand how models make decisions by connecting them to concepts we can easily grasp. Unlike…

Researchers from various universities developed SANeRF-HQ, improving 3D segmentation using the SAM and NeRF techniques. Unlike previous NeRF-based methods, SANeRF-HQ offers greater accuracy, flexibility, and consistency in complex environments and has shown superior performance in evaluations,…

Advancements in neuroscience continue to overwhelm researchers with an ever-growing volume of data. This challenge has been met with the development of BrainGPT, an advanced AI model that outperforms human experts in predicting neuroscience outcomes. Its…

Practical AI Solution for Your Company Discover how AI can redefine your way of work. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. Define KPIs: Ensure your AI endeavors have measurable…

MotionLM is a new approach for predicting the behavior of road agents in autonomous vehicles. It treats the prediction task as a language modeling task, similar to how language models capture complex language distributions. MotionLM outperforms…