Multimodal RAG: Understanding RAG, Multi-model AI Models & LlamaIndexI have been contemplating writing a blog post on RAG applications for quite some time. The idea was to use a RAG application to explain the basic concepts behind Retrieval-Augmented Generation for LLMs and demonstrate how to integrate a Vector DB, RA...Jun 27, 2025 · 18 min readthinkboundlessai.hashnode.dev
Understanding the Model Context Protocol (MCP) by AnthropicIntroduction The Model Context Protocol (MCP) is an open-source standard introduced by Anthropic that allows AI models to interact with external tools and data in a consistent, secure, and extensible way. Anthropic explains MCP as : Think of it as th...Mar 23, 2025 · 5 min readthinkboundlessai.hashnode.dev
Leveraging LLMs in DevSecOps: Some Practical StrategiesIntroduction Large Language Models (LLMs) such as OpenAI's GPT-4 and Anthropic's Claude are groundbreaking technologies that significantly enhance natural language processing capabilities, with recent advancements in reasoning and multi-modal support...Mar 22, 2025 · 5 min readthinkboundlessai.hashnode.dev
Unlocking Efficiency in AI : Quantization & DistillationWith the noise and disruption created in the AI space with the release of DeepSeek R1, two terms are now heard prominently in the AI landscape: Quantization and Distillation. Today in our blog, let’s see what these terms are and how these processes h...Feb 4, 2025 · 8 min readthinkboundlessai.hashnode.dev
Speculative Decoding in Large Language Models: Advantages & PitfallsLarge Language Models (LLMs) have revolutionized the way we interact with AI. However, as these models grow in size and capability, so do their computational demands. Speculative decoding is a technique designed to speed up text generation in LLMs wi...Nov 24, 2024 · 4 min readthinkboundlessai.hashnode.dev
