Large Language Models
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Software Development
Building Self-Evaluating AI Systems
AI systems are increasingly being designed to do more than generate responses to user requests. Applications can retrieve information from…
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Java
LLM Fine-Tuning: SFT, LoRA, QLoRA, RAG and Prompting
Large language models can perform many tasks without any additional training. They can answer questions, summarize text, generate code, classify…
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Java
Extracting Reliable Structured Data from LLMs
Large language models are good at understanding natural language, but applications usually need information in a predictable form. A customer…
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Software Development
What is vLLM? A Quickstart Guide
Large language models have become easier to integrate into applications, but running them efficiently is still a major engineering challenge.…
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Enterprise Java
How to Switch Between AI Models Automatically
AI applications do not always need the same language model for every request. A simple factual question may only require…
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Enterprise Java
From LLMs to LangChain: Building practical AI Applications
Software development is entering a new phase driven by Large Language Models (LLMs). These models allow developers to move beyond…
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Software Development
Designing Reliable AI Agent Systems
Over the past few years, artificial intelligence has evolved from a largely experimental research field into a fundamental part of…
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Enterprise Java
An Introduction to Using simple-openai in Java
Modern Java applications increasingly utilise large language models for tasks such as text generation and structured data extraction; however, provider-specific…
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Software Development
Decoding the Security Risks of Large Language Models
Welcome to the era of Large Language Models (LLMs), where the promise of solving organizational challenges is vast. However, amidst…
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