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Introduction: As software development teams start exploring Generative AI and Large Language Models (LLMs) for test and development work, resulting productivity boosts have generated quite a bit of excitement. From authoring unit tests to code diff summarization and supporting exploratory test work, LLMs are becoming useful assets for...
A couple of years ago, the idea of a tool helping me write user stories or summarise a 50-page requirements document in minutes would have sounded like wishful thinking. Now, it’s just another Tuesday. Generative AI (GenAI) is no longer some distant “future tech” — it’s quietly becoming part of our daily workflows, whether...
Introduction This is a world of fast-changing AI development, one of our significant pain points is tool and service integration with our AI assistants. If we have had any experience with tools of this nature like LangChain or LangGraph, chances are we have had to suffer this pain of having had to write custom code with every new tool...
Initial Thoughts Having spent over a decade working in software development and data engineering, I thought, where is AI right now? Is it capable of eliminating the developer or is there still some time? So, I challenged myself with building an Android app. That was an unfamiliar area for me. While it intrigued me, there were a ton of...
As systems grow more complex and user demands rise, ensuring performance under real-world conditions is more critical than ever. Traditional load testing often falls short in simulating realistic usage patterns. AI offers a promising alternative—bringing adaptive, intelligent load generation to the forefront. But can it truly replicate...
Introduction Content accessibility and engagement are very crucial in this fast-evolving digital marketing landscape. The blog showcases some cutting-edge AI technologies that transform content through multilingual dubbing with lip-syncing, automatic summarization, and topic generation. Infact, we streamlined content adaptation across...
Introduction In the world of software and hardware development, perfection is the ultimate goal. Every line of code, every circuit board, and every interaction must function seamlessly to meet users' ever-growing expectations. Historically, achieving this has been a labor-intensive process, relying heavily on manual testing and...
Introduction The chemical industry is an important part of the economy as it produces and supplies raw materials for various ingredients and use cases. There are thousands of products on the market, all of which have different compositions, technical properties, and requirements for their usage. The correct selection of products is,...
In the evolving landscape of artificial intelligence, creating AI applications that provide accurate, contextual, and reliable responses has become increasingly crucial. Retrieval-augmented generation (RAG) emerges as a powerful framework that addresses this challenge by combining the strengths of information retrieval with generative AI...
Have you ever performed with GenAI chatbots like ChatGPT or Claude? They're first-rate equipment that can help us write, clear up issues, and create content. But just like any generation, they can be susceptible to certain hints or manipulations. One such vulnerability is referred to as a "prompt assault." Let's smash down what this means...
The world of technology has seen a revolutionary shift with the advent of Generative AI (Gen AI), empowering developers, businesses, and creators to innovate like never before. Generative AI refers to systems that can generate content - whether it's text, images, music, or even code—based on a set of inputs. While AI technologies like...
Introduction Fine-tuning large language models for code generation typically requires significant computing power. Many popular models, such as Code LLaMA or CodeT5, demand high-performance GPUs like NVIDIA A100, making them less accessible for most users. However, by leveraging LoRA (Low-Rank Adaptation) and quantization techniques with...
