Guides and analysis on developer tools, self-hosted infrastructure, Docker, LLM deployment, vector databases, and MLOps.
Guides and analysis on developer tools, self-hosted infrastructure, Docker, LLM deployment, vector databases, and MLOps.
Zero-knowledge proofs (ZKPs) allow one party (the prover) to convince another party (the verifier) that a statement is true, without revealing any information beyond the statement's validity. This powerful concept has significant implications for privacy…
Semantic search has revolutionized the way we retrieve information from vast digital archives, enabling users to find relevant documents based on their meaning rather than just keywords. In recent years, the combination of embedding models…
The rapid advancement of Large Language Models (LLMs) has opened up new possibilities in various fields, including content summarization and keyword tagging. Two notable players in this space are Ollama and LocalAI, which have developed…
Building a Dockerized Blockchain Node This article details the process of building a simplified blockchain node, containerized using Docker, and securing its private key through encryption. The focus is on practical implementation and highlights key…
Dockerized PyTorch & Hugging Face Setup This article provides a comprehensive guide to fine-tuning a Hugging Face model using a Dockerized PyTorch environment. We'll walk through the setup, implementation, and essential considerations for a reproducible…
Implementing a Self-Sovereign SSI Wallet The rise of Self-Sovereign Identity (SSI) is changing how we think about digital identity. SSI empowers individuals with control over their personal information, allowing them to selectively share data and…
Containerizing Qdrant: A Docker Primer This article provides a step-by-step guide on setting up and deploying Qdrant, a powerful open-source vector database, using Docker. We'll walk through containerizing Qdrant and configuring it for efficient AI…
Deploying LLaMA 3 with Ollama in Docker Large Language Models (LLMs) are rapidly transforming various industries, offering capabilities from content generation and code completion to complex data analysis. Deploying and managing these models efficiently and…
Leveraging Concrete-ML for FHE in ML This article details the process of using Homomorphic Encryption (HE) within Machine Learning (ML) workflows, specifically leveraging the Concrete-ML library. We will walk through the key concepts, advantages, and…
The increasing demand for on-device Artificial Intelligence (AI) solutions necessitates efficient and portable deployments. TensorFlow Lite (TFLite) provides a lightweight framework for running pre-trained TensorFlow models on edge devices. Docker, a containerization platform, offers a…
