Imagine a global insurance firm. Every month, thousands of claims documents flood in—policies, incident reports, legal assessments. The firm implemented a privately-hosted large-language-model solution so internal teams could query and summarise the data on-premises without ever exposing sensitive customer records to a public cloud model. Within six months, they reduced document-processing time, while preserving full …
Banks, insurers, payment firms—your industry (BFSI: Banking, Financial Services, Insurance) sits under intense pressure. Customers expect fast, smart, personalized service. Regulators enforce heavy rules. Fraudsters and cyber threats never sleep. When you add in the promise (and risk) of AI, especially large language models (LLMs), you’ve got to get security and compliance right. Private LLMs …
Healthcare has always been about trust. Patients trust you with their most sensitive information—medical histories, lab results, diagnoses, and even the details of their personal lives. If that data leaks or is misused, the damage is permanent. Regulators know this too, which is why healthcare has some of the strictest compliance rules anywhere. At the …
Artificial Intelligence (AI) has entered a new era where large language models (LLMs) power everything from chatbots and copilots to knowledge retrieval and compliance automation. These massive models, such as GPT-4 or Gemini, have demonstrated groundbreaking capabilities. But their size also creates challenges: they require enormous compute resources, high costs, and specialized infrastructure that most …
Enterprises today are no longer asking if they should adopt generative AI — they are asking how to adopt it safely and strategically. Large Language Models (LLMs) are powering everything from intelligent agents and search to knowledge management and automated documentation. But for many organizations — particularly in healthcare, banking, pharma, defense and manufacturing — …
The rapid growth of generative AI has redefined how enterprises handle customer engagement, automate processes, and extract value from data. Yet, as businesses rush to integrate large language models (LLMs) into their workflows, a critical question arises: where should these models be deployed? Public LLM APIs like OpenAI or Anthropic offer agility, but they introduce …
Artificial Intelligence (AI) is no longer just a buzzword—it’s a business necessity. Organizations across industries are rethinking how they engage customers, optimize operations, and scale growth with AI-powered solutions. At AIVeda, we specialize in delivering custom AI solutions tailored to industry needs. Whether you’re looking to deploy AI chatbots, build enterprise LLMs, create generative content, …
In today’s data-driven world, Artificial Intelligence (AI) plays a pivotal role in transforming how businesses operate and engage with users. One of the foundational techniques that quietly fuels many intelligent systems—from chatbots and recommendation engines to semantic search—is text embeddings. Text embeddings convert words, phrases, or entire documents into numerical vectors. These vectors capture the …
In an increasingly globalized world, effective communication transcends language barriers, making multilingualism more crucial than ever. Enter the realm of E5 Large Instruct Models, revolutionary tools designed to enhance AI communication across diverse languages. These advanced models equip businesses and developers with the capability to create seamless interactions, whether for customer support, content creation, or …
The progress of artificial intelligence has brought big changes to many fields, and natural language processing (NLP) is leading the way. There are numerous tools and setups for creating NLP applications, but Langchain frameworks shine as a strong and adaptable structure that makes making language models easier. In this blog we will discuss about how …