AI in Web Development
Introduction AI in web development has moved far beyond the early idea of a chatbot that simply writes a few lines of code. In current industry practice, AI is becoming part of the full software delivery chain, from planning and prototyping to testing, reviewing, documenting, and communicating releases to non-technical teams. This shift matters because…
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Jayeesha Das
Beyond Static UI: Building “Agentic” Interfaces with Flutter GenUI
Introduction At Payoda Technologies, we have always believed that great software should do more than simply respond to user actions. It should understand context, anticipate needs, and deliver experiences that feel natural and intuitive. For many years, mobile development followed a structured approach where developers designed fixed screens and users navigated through them in…
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Jayeesha Das
Context Engineering: The New Prompt Engineering for AI Agents
Prompt engineering got us started. Context engineering is what actually makes AI systems work. Introduction For a while, prompt engineering was seen as the defining skill in the AI space. Crafting carefully structured instructions to guide large language models (LLMs) felt like the key to unlocking better outputs. But the landscape is evolving. Today, the…
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Jayeesha Das
Understanding the Large Language Models (LLMs)
Large Language Models (LLMs) are changing the way humans interact with machines. Code writing, content creation, the tutoring process for students, and the usage of intelligent assistants are just a few examples where LLMs have paved the way to become the building blocks of modern computing technology. The following discussion will provide you with a…
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Jayeesha Das
How Payoda’s AI Automation Outperforms Outdated Tools
Introduction: Automation has been a major driver of digital transformation for a long time. It has been eliminating repetitive tasks and making operations more efficient. Moreover, many organizations have come to the realization that traditional automation tools, which have been a major breakthrough, can barely cope with the current dynamic business environments. These legacy systems…
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Priyadharshini
Unlocking the Power of Sentence Transformers and Text Embeddings in LLMs
Introduction: Large Language Models (LLMs) have dramatically transformed the field of natural language processing (NLP). At the heart of their effectiveness lies one powerful concept: text embeddings. These text embeddings—dense vector representations of language—enable machines to understand, compare, and generate human-like text with remarkable precision. One of the most reliable tools for generating high-quality text…
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Priyadharshini
Fine-Tuning LLMs with LoRA Adapters: A Comprehensive Guide
Introduction Fine-tuning large language models (LLMs) can be computationally expensive and resource-intensive. Low-Rank Adaptation (LoRA) provides a more efficient and affordable way to fine-tune these models. In this blog, we’ll explore what Low-Rank Adaptation (LoRA) is, how it works, and how to apply it for fine-tuning an LLM. What is LoRA? Low-Rank Adaptation (LoRA) is…
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Priyadharshini
The Fundamentals of NLP: How Machines Understand Human Language
Introduction In recent years, Natural Language Processing (NLP) has transformed the way humans interact with machines. From voice assistants like Siri and Alexa to chatbots providing customer support, NLP lies at the heart of many AI-driven technologies. However, a key question remains: how do machines actually understand human language, which is filled with nuance, slang,…
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Priyadharshini
Agentic AI: The Future of Independent and Purposeful Intelligence
Introduction Artificial intelligence (AI) is growing fast, and “Agentic AI” is a new type that’s changing how we think about technology. Unlike traditional AI, it focuses on being independent, flexible, and purposeful. But what does it really mean? Let’s explore Agentic AI, its uses, and its future, with a simple example to explain. What is…
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Priyadharshini
Deep Learning and Neural Networks Applications Across Industries
In recent years, deep learning and neural networks have emerged as transformative technologies, reshaping industries with their unmatched capabilities in data analysis, automation, and decision-making. From healthcare to entertainment, the scope of Deep Learning Applications is rapidly expanding, offering innovative solutions to complex problems. In this blog, we explore how these technologies are being integrated…
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