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 4Oct 4
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 271Sep 271
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 26Aug 26
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 25Aug 25
Ollama, Java, Neural Chat, Data ExtractionSource: https://github.com/ollama/ollama/tree/main/examples/typescript-functioncallingAug 19Aug 19
Llama3.1 & Java & OOPSCore Java Program to add remove functions at runtime. while calling LLMs.Aug 11Aug 11
Llama3.1 Function Call in JavaIf you are running out of patience in trying it out, just simple follow theseAug 11Aug 11
Objective Driven Prompt SystemTo implement a system using “PROMPTS” Java library that takes an objective, generates questions based on that objective, retrieves answers…Jun 13Jun 13
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 24May 24
Parameter Sensitivity Analysis“Parameter Sensitivity Analysis” is a technique used in engineering, science, and various fields to assess how changes in the input…Dec 23, 2023Dec 23, 2023