In the rapidly evolving generative AI landscape, OpenAI has revolutionized the way developers build prototypes, create demos, and achieve remarkable results with large language models (LLMs). However, when it’s time to put LLMs into production, organizations are increasingly moving away from commercial LLMs like OpenAI in favor of fine-tuned open-source models. What’s driving this shift, and why are developers embracing it? The primary motivations are simple…
AI’s Massive Growth Puts Retail Data in the Spotlight
023 was an incredible year in the development of artificial intelligence (AI). With the massive adoption of technologies like ChatGPT, millions of people are now uncovering new ways to use AI to create content, including email, video animation, and even code.
Since its first debut to the public in 2022, generative AI has dominated headlines and conversations about its potential impact on nearly every aspect of business and life…
Cloud Computing Trends in 2024
In 2024, the trends of cloud computing will be influenced by increasing cloud costs and the expanding use of advanced AI (such as ChatGPT). Businesses continue to move their operations to the cloud, with the goals of becoming more efficient and improving their customers’ experiences. Organizations will continue to use cloud services as a way […]
The Promise and Potential of Human-Like Generative AI Chatbots
They’ve passed SATs, graduate records exams, and medical licensing exams, and programmers have used them to solve obscure coding challenges in seconds. Undoubtedly, generative AI chatbots’ capabilities are astounding, but this doesn’t mean they get it right every time. Despite their success in providing contextually relevant and, for the most part, accurate answers, can generative […]
The Rise of RAG-Based LLMs in 2024
As we step into 2024, one trend stands out prominently on the horizon: the rise of retrieval-augmented generation (RAG) models in the realm of large language models (LLMs). In the wake of challenges posed by hallucinations and training limitations, RAG-based LLMs are emerging as a promising solution that could reshape how enterprises handle data. The surge […]
Three Myths About Generative AI in the Workplace – and How You Can Bust Them
In the past year or so, generative AI has received more media attention than any other type of technology. Up until this point, data science has been at the center of these innovation stories, and rightfully so: None of the next-generation technology tools can work without a strong data science program. As soon as generative […]
Kinetica Launches Quick Start for Deploying Natural Language to SQL
According to a new press release, Kinetica has launched a Quick Start for deploying natural language to SQL on enterprise data, allowing organizations to perform ad-hoc data analysis on real-time, structured data. The offering aims to provide a fast and easy way to load structured data, optimize the SQL-GPT Large Language Model (LLM), and ask […]
Unleashing the Power of AI in Life Sciences
The life sciences industry is generating an increasing number of data points a day. While this data is essential to helping organizations make insight-informed decisions about critical operations, such as in clinical trial development, it is also proving to be a complex and daunting task, taking a significant toll on sponsors and clinical sites. In their quest […]
Balancing Act: The Value of Human Expertise in the Age of Generative AI
Humans are considered the weakest link in the enterprise when it comes to security. Rightfully so, as upwards of 95% of cybersecurity incidents are caused by human error. Humans are fickle, fallible, and unpredictable, making them easy targets for cybercriminals looking to gain entry to organizations’ systems. This makes our reliance on machines that much more important. […]
2024: Fewer Hallucinations, Private LLMs, and IP Challenges for GenAI Content
For those of us who have been in the AI field for a while, we’ve weathered at least two “AI winters,” interspersed with phases of rapid progress. However, 2023 stands out as a pivotal moment in the trajectory of AI. ChatGPT and other large language models (LLMs) have democratized AI for non-experts, offering immense utility, […]