VENDORiQ: Adobe Firefly’s Position in the Generative AI Landscape
Uncover how Adobe Firefly’s AI integration enhances creative workflows, offering user control, diverse output capabilities, and seamless integration with Adobe’s suite of tools.
Uncover how Adobe Firefly’s AI integration enhances creative workflows, offering user control, diverse output capabilities, and seamless integration with Adobe’s suite of tools.
Adobe Express simplifies content creation processes, enabling efficient and on-brand solutions for all teams.
The generative AI (genAI) hype cycle is currently experiencing its trough of disillusionment, particularly in the application of retrieval augmented generation pipelines to enterprise applications. Despite numerous attempts, these systems have struggled to reduce hallucinations in output to levels acceptable for enterprise use. However, amidst this challenging period, a promising approach is emerging: the fusion of knowledge graphs into AI applications. Will it deliver?
DevOps. MLOps. LLMOps. Do IT teams need yet another buzzword? While it may be tempting to think of large language model ops (LLMOps) as a subset of machine learning ops (MLOps), that would prevent us from exploiting the real benefits of building enterprise applications with large language models (LLMs) – scale and speed of development.
Adobe’s Firefly Video Model is reshaping content creation with advanced generative AI capabilities, revolutionising digital workflows.
Adobe’s latest updates in Photoshop and Illustrator are transforming creative workflows with cutting-edge technology and AI-powered features.
This paper outlines the key technological developments driving changes in retrieval augmented generation (RAG). Mapping those changes on a non-linear trajectory, we predict the near future, and provide actionable recommendations for organisations to stay ahead of the curve in the rapidly evolving landscape of enterprise artificial intelligence (AI).
When all you have are large language models (LLMs), everything looks like a prompt. Enterprises must avoid falling into the trap of the law of the instrument, a.k.a. Maslow’s Hammer.
Legacy systems are typically challenging for CIOs – they often support critical business processes; they are expensive to replace and increasingly don’t meet business needs. As a result, they have been historically placed into the too hard basket. CIOs with significant legacy issues need to develop a deliberate strategy to address these challenges, rather than the squeaky wheel approach.