Karen White’s Post

Is AI really that smart?: Maybe money, time and resources management are growing our LLM dumber. Continue reading on Generative AI » #genai #generativeai #ai

Interesting article on AI from Sequoia Capital

Google has introduced Gemini 1.5, a pioneering AI model with an "experimental" context window capable of processing up to one million tokens, greatly surpassing its predecessors in length capacity. This advancement enables the model to handle extraordinarily lengthy text for context and meaning comprehension. Gemini 1.5 demonstrates remarkable performance on various tasks involving long text, video, or speech inputs and utilizes a Mixture-of-Experts

If you enjoy learning about the architecture underlying AI models, this article is one of the more accessible ones I've found. The author also does a great job describing the bigger picture of artificial intelligence and where the future could lead in terms of model development and real life applications. #ailiteracy #keeplearning #ceoinsights

The dynamic duo of generative AI and synthetic data is set to transform the data landscape as we know it - these technologies address critical issues, ranging from data scarcity and privacy concerns to regulatory compliance, thereby unlocking new potential for AI development. The future of synthetic data is promising, with an ever-expanding range of applications across industries. Its ability to provide an abundant, diverse, and privacy-compliant data source could be the key to unlocking revolutionary AI solutions and propelling us toward a more data-driven future. #capgemini #capgeminiinvent #genAI #syntheticdata

Learn about the best practices and guidelines to build trust and integrate responsible AI across the ML lifecycle.

Will the next leap in AI be based on VERSES, and not the resource hungry LLM ways of programming? Will AGI thus be energy efficient - like the human brain? Interesting article!! https://lnkd.in/dnxkcHNF

Interesting interview with the CIA on Generative AI, lots of great Q&A. One of my favorites is "Can you name your large-language model partners?" Answer: As a smart customer, we are not tying our boat to a specific set of LLMs or a specific set of vendors. We are evaluating and using practically all the high-runner LLMs out there, both commercial-grade and open source. We are not viewing the LLM market as a singular one where a single lab is better than the others. https://lnkd.in/eBkUKBJW

In this holistic point of view, Rajat Khare brings us the very realities of our world in tech. while staying real, he is provoking a very attainable , democratic and progressive view of future...

From high school teachers and software developers to corporate legal teams, everyone is grappling with the implications of the rapid development of generative AI. What does it all mean? What are the risks? And how can we keep up with the pace of change? Learn more in our blog: https://lnkd.in/gB3cBq6C