This public account mainly focuses on cutting-edge AI technologies such as NLP, CV, LLM, RAG, and Agent, sharing practical industry cases and courses for free, helping you fully embrace AIGC. 1. Sparse Embedding (Keyword-based Sparse Vectors) Dimension Description Typical Implementations TF-IDF, BM25, SPLADE Vector Shape 50,000+ dimensions, >95% of positions are 0 Similarity Calculation Cosine … Read more
In recent years, artificial intelligence technology has been changing our lives at an astonishing pace. From intelligent voice assistants to autonomous driving, from medical image analysis to personalized recommendations, AI technology has permeated all aspects. Are you curious about what supports these magical functions? Today, we will unveil the technical core of the AI world … Read more
Introduction In today’s natural language processing field, embedding technology has become an indispensable part. Whether for text classification, sentiment analysis, or information retrieval, high-quality embedding models can significantly enhance task performance. However, as model sizes continue to grow, efficiently loading and inferring these models has become a pressing issue. Today, we will introduce a Rust … Read more
Interfacing C++ with Python: Implementation of Extensions and Embedding In modern software development, both C++ and Python are very popular programming languages. Although they have their own advantages and disadvantages, many projects require leveraging the strengths of both languages. C++ is typically used for high-performance computing, while Python is favored for its simplicity and rich … Read more
The oscilloscope measures the voltage applied to its input. In most cases, this is not an issue, but in certain situations, it is necessary to move the reference measurement plane and recalibrate the oscilloscope’s measurements. For example, if a minimum insertion loss impedance box (MLP) is used to terminate a measurement source with an impedance … Read more