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We believe in AI and every day we innovate to make it better than yesterday. We believe in helping others to benefit from the wonders of AI and also in extending a hand to guide them to step their journey to adapt with future.
AI is everywhere: copilots, chatbots, forecasting models, document automation, agentic workflows. And yet, a surprising number of AI initiatives end the same way: a demo that looks impressive, a pilot that “shows promise,” and then… slow adoption, shaky ROI, and a quiet fade into the backlog. This isn’t because teams lack talent or ambition. It’s […]
Enterprises striving for AI readiness must go beyond training models – they need to seamlessly connect AI systems with real-world business data and processes. Large language models (LLMs) are powerful but traditionally operate in isolation, unable to access up-to-date enterprise information or perform actions in business systems. The Model Context Protocol (MCP) is emerging as […]
We invite you to delve into this publication to explore the frontiers of Generative AI in financial services and witness first-hand the power of a technology that has the potential to transform not only the way we conduct business but the lives of billions.
LLaMA 2 is finally here, and it doesn’t disappoint. The new model has substantial performance improvements over its predecessor and comes with the added perk of being commercially usable. As enthusiasts and developers scramble to get their hands on this powerful tool, many are eager to fine-tune LLAMA2 for various applications. In this article, we’ll […]
Welcome to our guide on Fine-Tuning LLMs with LoRA. Integrating AI and machine learning into various sectors has become a norm as we navigate the accelerating currents of technology. Amid this digital revolution, Large Language Models have emerged as a game-changing tool, opening up a world of untold possibilities. However, these models are often critiqued […]
LLMOps refers to Large Language Model Operations, which involve managing, deploying, and optimizing large language models such as Bloom, OPT, and T5. A proper LLMOPS architecture enables the infrastructure configuration to meet the model’s computational requirements, such as memory, storage, and processing power.
Businesses seeking to adopt large language models can benefit from several cost-saving strategies. These approaches can help you reduce costs while achieving your desired outcomes and realizing the benefits of AI-powered solutions.
Whether you’re an experienced developer or an AI enthusiast, this comprehensive guide will give you the knowledge and insights needed to supercharge your next project with the conversational prowess of ChatGPT.
Artificial intelligence (AI) has made significant strides in recent years, with sophisticated models capable of performing various tasks, from natural language processing to image recognition.
