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VidTok: Rethinking Video Processing with Compact Tokenization
VidTok tokenizes videos to reduce redundancy while preserving spatial and temporal details for efficient processing.
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Enhancing Multimodal AI: Bridging Audio, Text, and Vector Search
In this article, we will explore how multimodal AI enhances AI systems by bridging audio, text, and vector search.
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DeepSeek Always Busy? Deploy It Locally with Milvus in Just 10 Minutes—No More Waiting!
Learn how to set up DeepSeek-R1 on your local machine using Ollama, AnythingLLM, and Milvus in just 10 minutes. Bypass busy servers and enhance AI responses with custom data.
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Why Deepseek is Waking up AI Giants Like OpenAI And Why You Should Care
Discover how DeepSeek R1's open-source AI model with superior reasoning capabilities and lower costs is disrupting the AI landscape and challenging tech giants like OpenAI.
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DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
In this article, we’ll explore how DeepRAG works, unpack its key components, and show how vector databases like Milvus and Zilliz Cloud can further enhance its retrieval capabilities.
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Top 10 Most Used Embedding Models for Audio Data
Explore the 10 most popular audio embedding models including Wav2Vec 2.0, VGGish, and OpenL3. Learn how they transform sound into vectors for AI applications
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Enhancing AI Reliability Through Fine-Grained Hallucination Detection and Correction with FAVA
In this blog, we will explore the nature of hallucinations, the taxonomy that provides a framework for categorizing them, the FAVABENCH dataset designed for evaluation, and how FAVA detects and corrects errors.
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How to Calculate the Total Cost of Your RAG-Based Solutions
In this guide, we’ll break down the main components of RAG costs, show you how to calculate these expenses using the Zilliz RAG Cost Calculator, and explore strategies to manage spending efficiently.
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Teaching LLMs to Rank Better: The Power of Fine-Grained Relevance Scoring
We’ll explore the limitations of binary relevance labels, how fine-grained relevance scoring works, and why it’s a game-changer for zero-shot text rankers