It should be obvious now that what is termed a marginal improvement in AI models are enormous technological leaps and that guardrails for major AI… Read More »LLMs: Agenda tips for the AI alignment and safety summits
Discover how AI is revolutionizing healthcare, enhancing patient care, and driving innovation in the industry.
Image by René Bittner from Pixabay I had the opportunity courtesy of managing director Sheena Tu of Techequity-ai to attend a good portion of their… Read More »Pill bots, agents and solving gen AI’s data challenges: Takeaways from the AI Summit
Workforce dynamics and assigning job roles according to changing workforce nature can be challenging things. You can see that there are various new technologies, techniques,… Read More »The impact of AI-powered automation on workforce dynamics and job roles
Matchmaking has existed for millennia across cultures, but technology has rapidly accelerated the search for love in the 20th and 21st centuries. Scientific advancements have… Read More »The scientific quest to decode digital matchmaking
In the age of digital transformation, data is considered one of the most valuable assets for both businesses and individuals. Organizations across industries collect and… Read More »The critical role of identity verification services in preventing data breaches
Artificial intelligence (AI) has made its way into nearly every facet of running a small or mid-sized business in the modern age. When programmed appropriately,… Read More »Why AI bias is a cybersecurity risk — and how to address it
In the rapidly evolving landscape of data management and analytics, the concept of the Modern Data Stack has emerged as a powerful solution to harness… Read More »What is the Modern Data Stack?
The Retrieval Augmented Generation (RAG) paradigm has popularized the notion of supplementing prompts for GenAI models with trusted enterprise data. Many organizations utilize this practice… Read More »Revamping prompt augmentation: Multi-agent architecture and LangGraph
