Audio AI Secrets: Developer Tools That Transform Sound to Data
In this issue:
??Transform Your Projects with Audio AI
AY AY CAPTAIN! ??????Transform your projects with Audio AI through our in-depth series, a sonic lighthouse guiding you through the turbulent seas of fundamental processing techniques, embedding models, and Text-to-Speech.?
?? Top 10 Most Used Models for Audio?
Discover popular audio embedding models like Wav2Vec 2.0 and VGGish for AI-driven sound analysis.
?? A Developer’s Guide to Audio AI Tasks
Learn how to implement pre-trained models for tasks like speech recognition and audio classification.
?? Choosing the Right Audio Transformer
Explore audio transformers, their principles, selection criteria, and key challenges.
??? A Deep Dive into Text to Speech
Dive into the evolution of text to speech tech and compare popular models for implementation.
?? Processing Techniques and Key Challenges?
Learn about audio data characteristics and effective processing techniques for AI applications.
?? Bridging Audio, Text, and Vector Search?
Discover how multimodal AI systems integrate audio, text, and vector search for enhanced performance.
?? Audio Similarity Search Basics
Explore how vector databases like Milvus enable efficient and scalable audio similarity search.
?? Understanding DeepSeek?
Dive into DeepSeek’s affordable AI ecosystem, offering GPT-4 level performance at 90% lower cost, with breakthrough open-source innovations.
??? DeepSeek V3: A Developer’s Perspective
Explore the innovations behind DeepSeek V3’s GPT-4 performance, including MLA, MoE, and MTP breakthroughs.
?? DeepSeek Integrations You Should Know
Discover DeepSeek’s cost-effective integrations across RAG systems, productivity tools, and frameworks.
?? DeepSeek vs. OpenAI
Compare DeepSeek R1’s open-source models with OpenAI’s for the best balance of reasoning and cost efficiency.
?? DeepSeek-VL2: MoE Vision-Language Models
Learn about DeepSeek-VL2’s MoE vision-language model for advanced multimodal understanding.
?? Why DeepSeek is Disrupting AI
Understand how DeepSeek R1’s open-source approach and reasoning capabilities are shaking up the AI landscape.
?? Deploy DeepSeek Locally in 10 minutes
Learn how to set up DeepSeek-R1 locally with Ollama, AnythingLLM, and Milvus to bypass busy servers.
?? Hybrid Search for EU Policy Analysis
Veridien.ai , a startup blending AI and EU policy analysis, faced a challenge: traditional search methods couldn't handle the complexity of EU policy across 32 domains and multiple languages.
Their solution? A Milvus-powered hybrid search architecture:
Co-founder Alessandro Saccoia says, “Milvus hybrid search blends keyword and vector search, perfect for technical domains with complex jargon.”
The result? A system that processes tens of thousands of documents in real-time, delivering accurate classification faster and more cost-effectively than ever before.
Learn More: Veridien Powers EU Policy Analysis with Milvus?
Watch Tutorial:
?? AI in Sports: How Sevilla FC is Discovering Future Soccer Stars
How Sevilla FC is discovering future soccer stars with Llama and Milvus as the vector database!?
The open source architecture enabled Sevilla FC to customize and run AI models entirely within their secure environment.
Check out the architecture and article on AI at Meta ??
??? Upcoming Events
March 20: Unstructured Data Workshop with Milvus and OpenAI (in-person)?
Milvus is collaborating with OpenAI for hands-on workshop in Palo Alto! Join us for talks and get hands-on by following along our tutorials:?
?? From O1 to O3: How Reasoning Transformed AI and Launched a New Generation of Agents by Harry Zhao , OpenAI
?? Hands-on Tutorial: Building an Agent to Reason about Private Data with OpenAI & Milvus by Stefan Webb , Zilliz
March 27: Milvus Hybrid Search: Combining Keyword Precision with Semantic Power for Next-Gen Data Retrieval (virtual)
This webinar with Data Max demonstrates a unified approach to document retrieval by combining advanced web crawling with a hybrid search architecture that leverages both full text and dense vector search within Milvus. Learn how Crawl4AI is used to extract documentation which is then ingested into Milvus. Topics covered:?
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That's it for now! See you next week ??