In the past three years, the emergence of foundational models represented by OpenAI’s ChatGPT has significantly accelerated the development of LLM applications. However, relying solely on LLMs to answer questions based on their “inherent” knowledge often leads to issues such as hallucinations or outdated knowledge. Against this backdrop, the idea of using multiple LLMs, each … Read more
What is the hottest topic in the era of large models? In addition to ChatGPT, tools like LangChain and LlamaIndex, designed for building large model applications, have also been gaining significant attention. To help everyone get started easily, we launched the 【Decoding LangChain】 tutorial series, and now we present the 【Unveiling LlamaIndex】 series, which you … Read more
The explosive popularity of ChatGPT proves the capabilities of large language models (LLMs) in generating knowledge and reasoning. However, ChatGPT is a model pre-trained on public datasets, which may not provide specific answers or results related to user businesses. So, how can we maximize the capabilities of LLMs using private data? LlamaIndex can solve this … Read more
How to Build a Face Recognition Application from Scratch? Try the combination of native Java AI algorithm: EasyAi + Milvus. The software and tools used in this article include: EasyAi: Face feature vector extraction Milvus: Vector database for efficient storage and retrieval of data. 01. EasyAi: The Most Popular Java AI Algorithm Framework in China … Read more
Introduction With the development of large models, vector databases have also ushered in broader application prospects. They not only assist large models in inference acceleration but also save costs for users. Moreover, vector databases are an effective means to address the limitations of large models. As a result, more and more large model deployment projects … Read more
Image-based video search, as the name suggests, is to take an image and search the video database for videos containing similar shots. A key step in image-based video search is video vectorization, which involves extracting key frames from the video and performing feature extraction for each frame, converting it into a structured vector. At this … Read more
✏️ Author Introduction: Huang Wei, Senior R&D Engineer at Trend Micro (China) Preliminary Research Trend Micro is a global leader in information security software, providing security solutions for software vendors and individual users worldwide. The author of this article is currently responsible for building mobile security apps and developing infrastructure. The workflow involves scraping external … Read more
The combination of AI and smart healthcare is an inevitable trend for future development. In recent years, the National Health Commission has promoted smart healthcare and AI technologies, such as intelligent triage, pre-consultation, and diagnostic assistance, to improve the efficiency of medical services and the accuracy of diagnoses, enhancing the patient experience. Quanzhentong is a … Read more
Milvus is an open-source vector similarity search engine that supports the use of various AI models to vectorize unstructured data and provides search services for vector data. Milvus integrates widely used vector indexing libraries such as Faiss and Annoy, allowing developers to choose different indexing types for different scenarios. Using Milvus, one can develop a … Read more
Introduction This article mainly introduces how BIGO, a video live-streaming company with 400 million global users, utilizes the vector search engine Milvus for deduplication of massive short videos. With the acceleration provided by the Milvus vector search engine, BIGO’s short video product Likee can control each search within 200ms while ensuring a high recall rate. … Read more