Philip John Basile

AI agents are only as powerful as their memory. Redis has been named the #1 data storage choice for AI agents in 2025. The reason? Redis delivers what AI truly needs: - Real-time vector storage - Semantic caching - Long-term memory for LLMs At Bassirah, we see this as validation of why Redis is central to the next generation of AI-native data platforms powering everything from agentic RAG systems to enterprise decision engines. 🔗 Read more: https://lnkd.in/db47k6zG #AI #Redis #RAG #LLM #DataEngineering #AIAgents #ArtificialIntelligence

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Solid primer on the five architectures behind synthetic media. GANs, VAEs, Transformers, CNNs, RNNs. What's telling: the piece notes modern systems rarely use single architectures anymore. Diffusion models blend Transformer attention with U-Net structures. StyleGAN builds on progressive growing techniques from years ago. The toolbox keeps expanding. The combinations keep multiplying. #SyntheticMedia #GenerativeAI #AI #Deepfakes

We recently published a breakdown of how we built a real-time Options Live Feed Flow system using WebSockets and Redis. The focus was simple: • ultra-low latency • real-time filtering • zero polling • production-ready scalability If you’re working with live market data or high-frequency systems, this architecture holds up even during peak traffic. 👉 Read here: https://lnkd.in/diCQeqkZ #RealTime #WebSockets #Redis #FinTech #OptionsFlow

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We just dropped our first deep dive on Fastino's TLMs which are purpose-built to outperform generalist LLMs like GPT-4o on high scale enterprise tasks. 🦊 Millisecond latency 🦊 Benchmarked against real-world use cases 🦊 Inference on CPU and low-end GPU Read the full launch blog here ⬇️ https://lnkd.in/e_HNk4H2

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Learn how to build an image search app using a series of guided code commits with Developer Advocate Guy Royse. He’ll guide you through generating image embeddings using freely available Hugging Face models and storing them in Redis for fast, scalable semantic search.  The workshop covers: ▶️ What embeddings are and how they work ▶️ How to generate image embeddings and store them in Redis ▶️ Building a semantic search app with Redis, Python, and JavaScript Get access here: https://lnkd.in/gbZ3imbz

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Claude Squad is a powerful agent multiplexer for AI coding tools like Claude Code, Codex CLI, and Gemini CLI. Want to run multiple agents on one project without chaos? How would you use it in your workflow?

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