Docker is a popular platform for developing, packaging, and deploying applications. In the previous blog, we provided an introduction to Docker and containers, including their benefits and architecture. In this article, we’ll dive deeper into Docker, exploring Dockerfiles, Docker commands, and OCI specifications. Dockerfiles Dockerfiles are text files that contain instructions for building Docker images. […]
Read more →Category: Technology Engineering
Technology Engineering
Fine-Tuning LLMs: From Data Preparation to Production Deployment
Introduction: Fine-tuning transforms a general-purpose LLM into a specialized model tailored to your domain, style, or task. While prompt engineering can get you far, fine-tuning offers consistent behavior, reduced token usage, and capabilities that prompting alone cannot achieve. This guide covers the complete fine-tuning workflow—from data preparation to deployment—using both cloud APIs (OpenAI, Together AI) […]
Read more →Hugging Face Transformers: The Complete Guide to Open-Source AI Model Deployment
Introduction: Hugging Face Transformers has become the de facto standard library for working with transformer-based models. With access to over 500,000 pre-trained models and 150,000 datasets through the Hugging Face Hub, it provides the most comprehensive ecosystem for deploying open-source AI models. Whether you’re running Llama, Mistral, or fine-tuning your own models, Transformers offers a […]
Read more →Model Routing Strategies: Intelligent Request Distribution Across LLMs
Introduction: Not every request needs GPT-4. Simple questions can be handled by smaller, faster, cheaper models, while complex reasoning tasks benefit from more capable ones. Model routing intelligently directs requests to the most appropriate model based on task complexity, cost constraints, latency requirements, and quality needs. This approach can reduce costs by 50-80% while maintaining […]
Read more →Exploring the Impact of Docker and the Benefits of OCI: A Comparison of Container Engines and Runtime
Docker has revolutionized the world of software development, packaging, and deployment. The platform has enabled developers to create portable and consistent environments for their applications, making it easier to move code from one environment to another. Docker has also improved collaboration among developers and operations teams, as it enables everyone to work in the same […]
Read more →Embedding Models Deep Dive: From Sentence Transformers to Production Deployment
Introduction: Embeddings are the foundation of modern AI applications—they transform text, images, and other data into dense vectors that capture semantic meaning. Understanding how embedding models work, their strengths and limitations, and how to choose between them is essential for building effective search, RAG, and similarity systems. This guide covers the landscape of embedding models: […]
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