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Ragas and Langfuse Integration – Quick Guide and Overview
With large language models (LLMs) being used in a variety of applications today, it has become essential to monitor and evaluate their responses to ensure accuracy and quality. Effective evaluation h...
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Modernizing Legacy Applications with Generative AI: Lessons from R&D Projects
As digital transformation accelerates, modernizing legacy applications has become essential for businesses to stay competitive. The application modernization market size, valued at USD 21.32 billion...
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How to Make Your Enterprise Data Ready for AI
As AI continues to transform industries, one thing becomes increasingly clear: the success of AI-driven initiatives depends not just on algorithms but on the quality and readiness of the data that fu...
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Challenges of the Legacy Migration Process and Best Practices to Mitigate Them
Legacy software is the backbone of many organizations, but as technology advances, these systems can become more of a burden than a benefit. Migrating from a legacy system to a modern solution is a d...
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GrapeChat – the LLM RAG for Enterprise
LLM is an extremely hot topic nowadays. In our company, we drive several projects for our customers using this technology. There are more and more tools, researches, and resources, including no-code,...
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Choosing the Right Approach: How Generative AI Powers Legacy System Modernization
In today's rapidly evolving digital landscape, the need to modernize legacy systems and applications is becoming increasingly critical for organizations aiming to stay competitive. Once the backbone...
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How to Design the LLM Hub Platform for Enterprises
In today's fast-paced digital landscape, businesses constantly seek ways to boost efficiency and cut costs. With the rising demand for seamless customer interactions and smoother internal processes,...
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Integrating Generative AI with Knowledge Graphs for Enhanced Data Analytics
The integration of generative AI into data analytics is transforming business data management and interpretation, opening vast possibilities across industries. Recent statistics from a Gartner sur...
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From Silos to Synergy: How LLM Hubs Facilitate Chatbot Integration
In today's tech-driven business environment, large language models (LLM)-powered chatbots are revolutionizing operations across a myriad of sectors, including recruitment, procurement, and marketing....
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Addressing Data Governance Challenges in Enterprises Through the Use of LLM Hubs
In an era where more than 80% of enterprises are expected to use Generative AI by 2026, up from less than 5% in 2023, the integration of AI chatbots is becoming increasingly common. This adoption...
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Exploring Texas Instruments Edge AI: Hardware Acceleration for Efficient Computation
In recent years, the field of artificial intelligence (AI) has witnessed a transformative shift towards edge computing, enabling intelligent decision-making to occur directly on devices rather than r...
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How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 3
Blend AI assistant concepts together This series of articles starts with a general chatbot description – what it is, how to deploy the model, and how to call it. The second part is about tailori...
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How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 2
Making the chatbot more suitable Recently we’ve built a simple chatbot, using an Azure-hosted GPT 4 Turbo instance. It’s a great starting point, but we definitely need more to fulfill any busi...
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How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 1
Artificial Intelligence is everywhere - my laundry dryer is “powered by AI” (whatever it means), and I suppose there are some fridges on the market that take photos of their content to send you a...
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Generative AI in Automotive: How Industry Leaders Drive Transformation
Generative AI is quickly emerging as one of the key drivers of automotive innovation. This shift is not just a future possibility; it's already happening. In 2023, the generative AI market in the aut...
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