Prompt engineering tools are software platforms that help business owners, content creators and prompt engineers craft effective prompts that maximize output from their large language models (LLMs) and generative AI tools. In other words, the best prompt engineering tools provide you with the instructions and support for getting your AI tools to create what you want, whether that’s a piece of marketing copy or an AI image of a burning castle for an advertisement. Typically, the leading prompting tools offer searchable prompt libraries where you can pay for – or freely access – high-quality, pr ..read more

Retrieval-augmented generation, or RAG, is a technique for enhancing the output of large language models by incorporating information from external knowledge bases or sources. By retrieving relevant data or documents before generating a response, RAG improves the generated text’s accuracy, reliability, and informativeness. This approach helps ground the generated content in external sources of information, ensuring that the output is more contextually relevant and factually accurate. Read on to learn more about RAG, how it works, its use cases, and how it differs from the traditional process o ..read more

A deepfake is a type of synthetic media where the likeness of someone in an existing image or video is replaced with someone else’s likeness using artificial intelligence. This technology utilizes sophisticated AI algorithms to create or manipulate audio and video content with a high degree of realism. Deepfake technology represents one of the most intriguing – and controversial – advancements in artificial intelligence today. As deepfakes become more accessible and their quality continues to improve, they pose significant challenges and opportunities across various sectors, including media, e ..read more

While AI modeling involves building computational models that enable AI software to learn from data and create content, AI model optimization techniques enhance the efficiency and effectiveness of these artificial intelligence systems. The process of optimizing an AI model is crucial to create AI models that are high performing, consume reasonable amounts of resources, and are highly applicable to complex real-world scenarios. From model optimization strategies like model pruning to regularization, it’s possible to fine tune models to not only perform more accurately in rigorous use cases but ..read more

Cisco made big news in late 2023 when it announced it was acquiring Splunk for $28B, making it, by far, the largest acquisition in the company’s history. This move created massive speculation from Cisco watchers as to why the company was making such a bold move. The most obvious thought was that it could help the security business, which Cisco is currently revamping with its security cloud. There was also the possibility that it could add another dimension to its network business. Other advantages include full stack observability and using the data in Splunk’s services group to drive better bu ..read more

Large language models and the AI tools they support have a remarkable ability to skyrocket operational efficiency for businesses of all sizes and industries. Today’s best general-use large language models can streamline a large variety of business tasks, from content creation and customer service to data analysis and document processing. Able to understand and generate human-like text, LLMs aid in tasks like writing social media posts and ad copy, crafting personalized responses to customer inquiries, summarizing data for decision-making, and even helping your team come up with new ideas that ..read more

Artificial intelligence (AI) social media tools are software built to enhance and optimize social media marketing efforts in a wide variety of ways. These AI social media apps help automate content creation, scheduling, monitoring, engagement, and audience-targeting tasks. Some AI tools even offer advanced capabilities that enable analyzing data, identifying trends, making data-driven recommendations, and helping businesses better understand and reach their target audience on social media platforms. Our review of the top AI social media software evaluated several platforms and selected the bes ..read more

When you combine artificial intelligence (AI) with customer relationship management (CRM) systems, you get AI CRM use cases that facilitate a more intelligent, data-driven approach to engaging with customers. AI’s integration with CRM helps organizations get a deeper understanding of customer behaviors, preferences, and patterns, which in turn paves the way for higher customer satisfaction through more personalized and more efficient interactions. To make the most of AI in CRM, organizations need to ensure data accuracy, privacy, and security, as these best practices form the foundation of all ..read more

Certainly there is massive hype about AI and its potential, and this excitement is as prevalent in cybersecurity as in any tech sector. The attitude among companies almost seems to be: sprinkle some AI magic on the network and – voila! – the perimeter is suddenly well protected. In contrast, SentinelOne’s Gregor Stewart takes a very pragmatic view of AI in cybersecurity. When I spoke with him in a recent eSpeaks video, he detailed some key ways that companies can use AI to boost the effectiveness of their cybersecurity strategy. Additionally, he spoke in-depth about the challenges of AI, and a ..read more

Salesforce is a comprehensive CRM solution that has long offered cutting-edge cloud technologies for customer relationship management, and in recent months, the platform has reached new heights with generative artificial intelligence and AI-powered features, made possible through Einstein. To better understand how AI works in the Salesforce platform and how different business teams can take advantage of this technology, I did an in-depth study of Salesforce’s AI strategy and specific products and features. This guide covers these AI capabilities in detail. Visit Salesforce Featured Partners: C ..read more