Businesses have relied on traditional Interactive Voice Response systems to automate phone interactions. These systems often feel robotic, force users to navigate frustrating menus, and fail to create any sense of personal connection. They are functional, but not conversational. Efficient, but not engaging.
Voice AI changes that reality.
It introduces intelligent voice agents that speak…
More than 7 out of every 10 shopping carts are abandoned before checkout, a staggering 70.19% global average.
Why? Not pricing. Not shipping. But uncertainty and frustration. Shoppers don’t know how something will look on them, or fit their space, or suit them.
That’s your drop-off signal!
Today’s digital shopper expects more than product grids.…
This report dives into real-world experiments evaluating the developer experience, usefulness, and code quality output of modern AI tools. Focusing on Claude Code and Figma MCP integration in a React Native project, the study uncovers practical insights, highlighting both the promise and quirks of using agentic AI for frontend tasks. From managing language selection screens…
Project Reboot – A new default is Shuru’s internal initiative to reshape how teams engage with AI in software development. As AI tools become ubiquitous, their adoption across teams remains uneven. With this series, we’re not just trying to change that – we’re committing to doing it in public.
From tool usage data across our…
The capacity to swiftly and effectively extract data from databases is valuable in today’s data-driven environment.
MQL is a tool which can be used to ask queries in Natural Language and get a response in SQL query.
Art of crafting prompts that not only make your interactions with language models, like ChatGPT, exciting but also ensure accurate and invaluable outputs.
One intriguing and rapidly evolving aspect of AI is generative AI, a subfield that pushes the boundaries of creativity and imagination.
The accomplishments of large language models are attributed to the architecture that they follow – Transformer Models
At the core of LangChain lies the concept of chaining different components together to tackle complex problems using LLMs. These chains can consist of multiple components sourced from various modules within Langchain.
Learn how you can offer a better customer service experience by leveraging Generative AI and Large Language Models (LLMs).
