Taking Control of Enterprise Large Language Model AI
Discover strategies to effectively manage large language models (LLMs) in your enterprise and optimise your AI solution for better outcomes.
Discover strategies to effectively manage large language models (LLMs) in your enterprise and optimise your AI solution for better outcomes.
How can behavioural AI help enterprises better engage with their customers for long-term retention? IBRS looks into the potential of such a technology to address their needs.
Learn how AI and workforce trust are transforming the future of work. Prioritising transparency and collaboration to align technology with employee needs and values.
Otter.ai introduced its intelligent chat feature Otter AI Chat. What does this imply about data privacy concerns, especially for enterprise users?
The integration of AI and low-code tools into software development has raised speculations about the demand for software engineers. What impact does AI and AI-powered low-code have on the future of coding professionals? How will the landscape of software development change?
OpenAI’s recent changes to its data collection and retention policies are a welcome transition to data privacy. But why should enterprises remain vigilant?
Google joins leading AI developers in preventing financial crimes to support financial enterprises in avoiding potential penalties or legal repercussions due to money laundering cases. What does this imply for the financial services industry?
Meta AI is set to release Llama 2, an open source AI model in a bid to disrupt the AI industry. Should enterprises trust the model?
Proposals to protect the public against the risks associated with AI technology have been proposed. IBRS looks into the need for AI regulations that promote the development and deployment of AI in a manner with respect to ethical standards, fairness, accountability, and transparency.