Stay ahead with our in-depth blog series on the newest frontiers in artificial intelligence. Explore emerging topics such as AI security, agentic AI systems, and the quest for explainable AI. Learn how innovators tackle ethical risks, design autonomous agents, and enhance model transparency and accountability. Get actionable insights into regulatory trends, technical breakthroughs, and real-world examples that shape tomorrow’s intelligent systems.
The release of ChatGPT in November 2022 opened the eyes of most of the world to the power of large language models (LLMs). This is the core technology that underpins ChatGPT and its rivals Claude, Gemini, Perplexity, etc, as well as their image-generating cousins Midjourney, Leonardo, Imagen, Firefly and Sora. Excitement about LLMs reached a…
Generative artificial intelligence (AI) technology, such as ChatGPT and its rivals, depends heavily on training data, but what if that training data is deliberately poisoned? The large language models (LLMs) technology that underlie generative AI go through three stages of training. The models are fed vast amounts of raw data, such as The Common Corpus,…
Large language models (LLMs) are the underlying technology of popular generative AI applications like ChatGPT, Gemini, Claude, Perplexity and Grok. They are well known for their ability to generate fluent text in response to natural language prompts from users, such as: “write me an essay on the industrial revolution”, or “draft me a letter for…
“Large language models” (LLMs) underly all the current generative artificial intelligence (gen AI) tools such as ChatGPT, Claude, Perplexity, Gemini and Grok. The same technology is also the basis for the AI image and video tools like Midjourney, DALL-E! Leonardo, Firefly and Stable Diffusion. Before we get into the main thrust of this blog, which…
The hottest topic at the moment in artificial intelligence (AI) is “agentic AI”. This is the idea of AI systems that have autonomous decision-making ability and the ability to take action. In principle, these may be actions without human supervision. This is quite different from the current use of chatbots such as Claude, Perplexity, Grok…
Ever since OpenAI’s ChatGPT burst on the scene in November 2022, there has been a buzz of excitement about the possible use cases for generative AI. From medical imaging to writing marketing material, from generating illustrations to translating between languages, generative AI has created a popular wave of awareness that is rare for a new…
In the emerging world of AI, how can we get the best out of our new silicon helpers? Large language models (LLMs) are the basis of all generative AI tools such as ChatGPT, Claude, Perplexity, LLAMA and Gemini. They can understand and generate human text based on huge amounts of training data, such as large…
The latest trend in the AI world is “agentic AI”, where AI agents are linked together and given autonomy to make decisions and carry out actions. For example, you might use a current AI tool like ChatGPT to research a holiday for you, checking for flights, hotels, and restaurants in your chosen destination. An agentic…
There has been a flood of interest and investment in AI since the release of OpenAI’s ChatGPT in November 2022, which gained a remarkable hundred million users in two months. By comparison, Instagram took two and a half years to reach that milestone. Enterprises have scrambled to assess its impact, and explore the wide range…
In the fast-moving world of artificial intelligence (AI), we have seen the initial excitement around ChatGPT lead to a flood of investment, both in competitor start-up AI companies and in enterprise investment in AI. Company executives are seeking productivity advantages from AI in areas ranging from customer service to software coding through to image interpretation and…