What Lies Ahead? Decoding the Future of Enterprise Tech
80 results
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Understanding and Maximizing Large Language Models (LLMs)
As organizations embrace the Age of AI, particularly through the use of Large Language Models (LLMs) for tasks like translation and summarization, effective implementation requires fine-tuning and prompt engineering to maximize productivity and ensure high-quality outputs.
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Generative AI LLMs (Part 2)
In the second part of this series, we unpack Large Language Model components such as fine-tuning and prompt engineering.
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Developing Privacy Techniques for Secure Vector Databases and LLMs
Click Here to View Presentation Deck In the rapidly evolving landscape of Large Language Models (LLMs) and AI-driven applications, vector databases have emerged as a crucial component for efficient similarity search and information retrieval. However, as these systems handle increasingly sensitive and personal data, ensuring privacy and security is also becoming increasingly important. This presentation...…
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IBM Granite LLM Now Available Through the Generative AI Hub in SAP AI Core
IBM has introduced the Granite 13b.chat large language model for SAP users through the SAP AI core on SAP BTP, enhancing generative AI capabilities while addressing the cautious adoption of AI in core business functions, with a focus on trust, transparency, and ethical scaling of AI applications.
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Harnessing Generative AI for the Legal Industry: Opportunities, Risks, and Strategies
Businesses are increasingly embracing Generative AI capabilities. The legal industry, in particular, presents numerous opportunities for innovation by leveraging Generative AI (Gen AI) effectively. This is particularly evident when dealing with text-based outputs, as legal professionals often need to sift through a large number of documents and other unstructured content like images and videos. Additionally,…
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Make AI Work for Your Business!
The SAP Business Technology Platform effectively customizes AI solutions to meet unique business needs by integrating relevant data management tools and Large Language Models, enabling organizations to drive transformation and streamline decision-making while ensuring data security and governance.
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AI and the manufacturing cycle train
At the Hannover Messe 2024, SAP executives presented insights and updates on where the company is heading in manufacturing and how this all ties in with its AI strategy.
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Generative AI in Business Applications and Software Testing
Generative AI is an advanced form of artificial intelligence that utilizes machine learning and deep learning to create original data based on existing patterns, significantly enhancing business efficiency and software development processes by automating tasks, improving productivity, and facilitating collaboration.
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Generative AI Future Trends and Responsible AI (Part 3)
This article discusses the need for Responsible AI and future trends of these tools as the field rapidly evolves.
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