Karini AI appoints Nitin Wagh as Chief Product Officer to drive innovation and growth in Generative AI, leveraging his expertise from Databricks and AWS. Nitin bridges cutting-edge tech with real-world solutions. His deep grasp of GenAI and project leadership ensures our platf...

As enterprises increasingly adopt Large Language Models (LLMs) for diverse generative AI applications, a notable challenge emerges in implementing batch processing pipelines. Unlike real-time processing, batch workflows enable handling large datasets in bulk, making them ideal...

Hype of Generative AI Generative AI is not just a fleeting trend; it's atransformative force that's been captivating global interest. Comparable in significance to the dawn of the internet, its influence extends across various domains, altering the way we search, communicate,...

Introduction Generative AI has become a shared C-Level priority with many enterprises setting goals in their annual statement and numerous press releases. As Generative AI is gaining traction, there is much anticipation around their evolving model performance capabilities. How...

Introduction: In the rapidly evolving landscape of Generative AI (Gen AI), managing the scale and cost of Large Language Models (LLMs) presents a formidable challenge for enterprises diversifying their application portfolios. As organizations increasingly integrate these power...

When creating a RAG (Retrieval Augmented Generation) system, you infuse a Large Language Model (LLM) with fresh, current knowledge. The goal is to make the LLM's responses to queries more factual and reduce instances that might produce incorrect or "hallucinated '' information...

The advent of Generative AI has sparked a wave of enthusiasm among businesses eager to harness its potential for creating Chatbots, companions, and copilots designed to unlock insights from vast datasets. This journey often begins with the art of prompt engineering, which pres...

The business landscape is in perpetual flux, demanding constant adaptation and evolution. Organizations must keep pace with change and strategically outmaneuver it to thrive. In this dynamic environment, embracing disruptive technologies like Generative AI becomes not just an...

In an era where data is the new gold, businesses have grappled with the challenge of data silos - isolated reservoirs of information accessible only to specific organizational factions. This compartmentalization of data is the antithesis of what we term 'healthy' data: informa...

When creating a RAG (Retrieval Augmented Generation) system, you infuse a Large Language Model (LLM) with fresh, current knowledge. The goal is to make the LLM's responses to queries more factual and reduce instances that might produce incorrect or "hallucinated '' information...

Hype of Generative AI Generative AI is not just a fleeting trend; it's a transformative force that's been captivating global interest. Comparable in significance to the dawn of the internet, its influence extends across various domains, altering the way we search, communicate,...

We are thrilled to announce that Karini AI has officially partnered with Amazon Web Services (AWS) as an Independent Software Vendor (ISV). This strategic partnership, effective from October 16, 2023, marks a significant milestone in our journey towards innovation and excellen...

Generative AI is a once-in-a-generation technology, and every enterprise is in a race to embrace it to improve internal productivity across IT, engineering, finance, and HR, as well as improve product experience for external customers. Model providers are steadily improving th...

The business landscape is in perpetual flux, demanding constant adaptation and evolution. Organizations must keep pace with change and strategically outmaneuver it to thrive. In this dynamic environment, embracing disruptive technologies like Generative AI becomes not just an...

The advent of Generative AI has sparked a wave of enthusiasm among businesses eager to harness its potential for creating Chatbots, companions, and copilots designed to unlock insights from vast datasets. This journey often begins with the art of prompt engineering, which pres...

Generative AI has sparked a wave of excitement among businesses eager to create chatbots, companions, and co-pilots for extracting insights from their data. This journey begins with the art of prompt engineering, which includes various approaches like single-shot, few-shot, an...

In an era where data is the new gold, businesses have grappled with the challenge of data silos - isolated reservoirs of information accessible only to specific organizational factions. This compartmentalization of data is the antithesis of what we term 'healthy' data: informa...

In the past twelve months, the corporate landscape has been abuzz with the potential of generative AI as a groundbreaking innovation. Despite broad recognition of its transformative power, many firms have adopted a tentative stance, cautiously navigating the implementation of...

Enterprises are adopting Generative AI to help solve many complex use cases with natural language instructions. Building a Gen AI application involves multiple components such as an LLM, data sources, vector store, prompt engineering, and RAG. GenAIOps defines operational best...

In the fast-evolving landscape of artificial intelligence, Karini AI takes a giant leap forward by introducing a groundbreaking feature aimed at enhancing user experiences - the replacement of the ubiquitous ellipsis with streaming responses. This innovation aligns with the la...

In the ever-evolving landscape of generative AI, the importance of prompt engineering cannot be overstated. As the ecosystem of large language models (LLMs) continues to expand with providers like Amazon Bedrock, Databricks, Anyscale, and others following in the footsteps of t...