Organizations are rapidly adopting generative AI (gen AI) into their production processes due to the potential for increased efficiency, personalized experiences, and better decision-making. READ ARTICLE
OpenAI's latest text-to-video model, Sora, could revolutionize the way automakers create marketing materials by generating high-quality videos from mere descriptions, potentially saving millions in costs and resources. READ ARTICLE
Prompt engineering is crucial for getting the most out of generative AI in eDiscovery. By carefully crafting prompts, you can ensure that the AI generates accurate, relevant, and helpful results. READ ARTICLE
Small language models (SLMs) are emerging as a more efficient and accessible alternative to large language models (LLMs). Despite having less processing power, some SLMs achieve comparable performance to LLMs in specific tasks, making them attractive for businesses with limited resources and specific needs. READ ARTICLE
The key takeaway is that the EvoPrompt approach which combines evolutionary algorithms and prompt engineering is a powerful and promising new technique for optimizing interactions with large language models. It outperforms manual prompt engineering and other automated methods in efficiency, scalability, and performance. READ ARTICLE