When people talk about how to get better results with generative AI tools like ChatGPT, they often gravitate towards lists of ready-made prompts. These proven instructions are supposed to produce the desired results like a magic spell. I understand the appeal: It can seem hard to come up with your own winning prompts. It’s disheartening …
A new comprehensive book titled “Foundations of Large Language Models” has been released for free access on arxiv.org, offering readers a structured introduction to LLM technology. The book covers essential concepts and techniques across four chapters, focusing on the fundamental aspects rather than cutting-edge developments. The authors present the material as learning notes, making complex …
Dana DiTomaso, founder of Kick Point Playbook, recently shared insights on leveraging Google Analytics 4 (GA4) and artificial intelligence to improve content strategy and data analysis. Speaking at CMI’s Content and Marketing Trends for 2025 event, DiTomaso emphasized the importance of working with imperfect data while focusing on meaningful trends rather than exact numbers. The …
A comprehensive analysis published by Content Science outlines key strategies for businesses to effectively implement artificial intelligence technologies. Author Cory Bennett presents three main areas organizations should focus on when investing in AI: The article draws on current market data showing the global AI market valued at $621 billion, with projections reaching $2.74 trillion by …
I am not a fan of having articles written by AI alone. In my experience, it still works much better to think of these services as tools and assistants. In that moment, they don’t do the work for you. Instead, they help you do certain tasks faster and more efficiently – including writing. Here’s an …
Reasoning, in the context of artificial intelligence, describes a system’s ability to draw logical conclusions, recognize connections, and derive new insights based on existing information. In AI systems like ChatGPT, reasoning means that they don’t just reproduce memorized answers but can reach independent conclusions by connecting different pieces of information. A simple example: if the …
A new analysis highlights the risks of attributing human characteristics to artificial intelligence systems. In an article published on VentureBeat, Roanie Levy from CCC explains how anthropomorphizing AI can lead to serious misconceptions and problems in business and legal contexts. The practice of describing AI systems as “learning” or “thinking” masks their true nature as …
According to Ben Hylak’s detailed analysis, published as a guest post, OpenAI’s o1 model requires a fundamentally different approach compared to traditional chat models. Hylak, who initially criticized the model but later became a regular user, explains that o1 functions best as a “report generator” rather than a conversational AI. The key to successful o1 …
A comprehensive analysis published by Andy Masley demonstrates that individual use of ChatGPT and other large language models (LLMs) has minimal environmental impact. The study shows that a single ChatGPT query consumes approximately 3 watt-hours of energy, equivalent to watching 10 seconds of streaming video or running a space heater for 2.5 seconds. The research …
Major enterprises are revealing their approaches to scaling generative AI as organizations prepare for widespread adoption in 2025. In an article published by VentureBeat, author Bryson Masse explores how companies like Wayfair and Expedia are combining custom solutions with external platforms to optimize their AI operations. Wayfair’s CTO Fiona Tan reports that the company uses …