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From Pixels to Embeddings: How Video AI Represents Visual Data
Discover how video AI transforms raw footage into meaningful embeddings, enabling efficient scene search and action recognition. Explore the technology behind the magic.
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From Text to Speech: A Deep Dive into TTS Technologies
Explore the evolution of Text-to-Speech technology from mechanical devices to neural networks. Learn how TTS works, compare popular models, and implement it using Google Cloud Platform.
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DeepSeek vs. OpenAI: A Battle of Innovation in Modern AI
Compare OpenAI's o1 and o3-mini with DeepSeek R1's open-source alternative. Discover which AI model offers the best balance of reasoning capabilities and cost efficiency.
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Unlocking Pre-trained Models: A Developer’s Guide to Audio AI Tasks
Learn how to implement pre-trained models for audio AI applications. Explore speech recognition, audio classification, and TTS with practical code examples.
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Unlocking the Power of Vector Quantization: Techniques for Efficient Data Compression and Retrieval
Vector Quantization (VQ) is a data compression technique representing a large set of similar data points with a smaller set of representative vectors, known as centroids.
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Learn Llama 3.2 and How to Build a RAG Pipeline with Llama and Milvus
introduce Llama 3.1 and 3.2 and explore how to build a RAG app with Llama 3.2 and Milvus.
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Evaluating Safety & Alignment of LLM in Specific Domains
How companies are tackling the critical challenges of AI safety and evaluation.
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Challenges in Structured Document Data Extraction at Scale with LLMs
How Unstract tackles various scenarios, including its integration with vector databases like Milvus, to bring structure to previously unmanageable data.
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Ensuring Secure and Permission-Aware RAG Deployments
This blog introduces key security considerations for RAG deployments, including data anonymization, strong encryption, input/output validation, and robust access controls, among other critical security measures.