1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model. Read more …
Ranking accuracy versus absolute accuracy Taken by the author and her Border Collie. “Be thankful for what you have. Be fearless for what you want” How long would you keep your Gym membership before you decide to cancel it? or Netflix if you are a series fan but busier than usual to allocate 2 hours …
Our approach to analyzing and mitigating future risks posed by advanced AI models Google DeepMind has consistently pushed the boundaries of AI, developing models that have transformed our understanding of what’s possible. We believe that AI technology on the horizon will provide society with invaluable tools to help tackle critical global challenges, such as climate …
Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno In an ideal world, we would like to work with datasets that are clean, complete and accurate. However, real-world data rarely meets our expectation. We often encounter datasets with noise, inconsistencies, outliers and missingness, which requires careful handling to get effective results. …
How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety Last year, the UK Government hosted the first major global Summit on frontier AI safety at Bletchley Park. It focused the world’s attention on rapid progress at the frontier of AI development and delivered concrete international action to respond to …
Helping you decide whether you want to be a data scientist or machine learning engineer Photo by Mohammad Rahmani on Unsplash A new role that has popped up in the tech space over the past few years is the machine learning engineer (MLE). Some people often confuse MLE with a data scientist; however, there is …
The Difference Between ML Engineers and Data Scientists | by Egor Howell | Nov, 2024 Read More »
Acknowledgements This work was made possible by the contributions of: Ankush Gupta, Nick Pezzotti, Pavel Khrushkov, Tobenna Peter Igwe, Kazuya Kawakami, Mateusz Malinowski, Jacob Kelly, Yan Wu, Xinyu Wang, Abhishek Sharma, Ali Razavi, Eric Lau, Serena Zhang, Brendan Shillingford, Yelin Kim, Eleni Shaw, Signe Nørly, Andeep Toor, Irina Blok, Gregory Shaw, Pen Li, Scott Wisdom, …
How to create reliable and scalable GenAI Agents for real-world applications Image by author — created with Flux 1.1 Pro Generative AI agents are changing the landscape of how businesses interact with their users and customers. From personalised travel search experiences to virtual assistants that simplify troubleshooting, these intelligent systems help companies deliver faster, smarter, …
Artificial Intelligence (AI) is no longer a futuristic concept; it’s a present-day reality reshaping business operations across industries. From streamlining processes to enhancing decision-making, AI technologies are driving unprecedented levels of efficiency and innovation. This transformation is not just about automation; it’s about fundamentally reimagining how businesses operate in the digital age. A 2023 McKinsey …
Top AI Technologies: Transforming Business Operations Guide Read More »
Quantum computers have the potential to revolutionize drug discovery, material design and fundamental physics — that is, if we can get them to work reliably. Certain problems, which would take a conventional computer billions of years to solve, would take a quantum computer just hours. However, these new processors are more prone to noise than …
