Ontology and Knowledge Representation in the Context of AI and LLMsOntology as a concept is rarely discussed in the context of Large Language Models (LLMs). However, it is foundational to how knowledge is…3d ago3d ago
Published inredbus India BlogHow LLMs Transformed Our Customer Service with Efficient Query Handling and Cost ReductionIn today’s fast-paced, digital-first world, customer service is no longer about simply answering questions; it’s about solving problems…Oct 4, 2024Oct 4, 2024
MapDB with PrometheusPrometheus works by scraping metrics from endpoints that expose data in a specific format (OpenMetrics format). You’ll need to create an…Sep 27, 20241Sep 27, 20241
Agent Group Interactions | Ollama, Llama3.1 & Java : Part 2/3Agentic AI seems to be the next level of utilisation of LLMs to accomplish more complicated problem solving. While the fundamentally the…Aug 26, 2024Aug 26, 2024
Agent Group Interactions | Ollama, Llama3.1 & Java : Part 1In the series of three articles, here is the first article introducing possibility of creating a universe of “AI Agents” that can…Aug 25, 2024Aug 25, 2024
Ollama, Java, Neural Chat, Data ExtractionSource: https://github.com/ollama/ollama/tree/main/examples/typescript-functioncallingAug 19, 2024Aug 19, 2024
Llama3.1 & Java & OOPSCore Java Program to add remove functions at runtime. while calling LLMs.Aug 11, 2024Aug 11, 2024
Llama3.1 Function Call in JavaIf you are running out of patience in trying it out, just simple follow theseAug 11, 2024Aug 11, 2024
Objective Driven Prompt SystemTo implement a system using “PROMPTS” Java library that takes an objective, generates questions based on that objective, retrieves answers…Jun 13, 2024Jun 13, 2024
Published inredbus India BlogDesign Pattern For AI Backend: Chain of Responsibility Pattern & Strategy PatternIn this article, we will walk through the process of developing a dynamic prompt handling system in Java. This system is designed to manage…May 24, 2024May 24, 2024