Google introduces a trio of new AI models named Gemma 2, which emphasize security, transparency, and accessibility. The Gemma 2 2B model is optimized for regular computers, ShieldGemma protects against toxic content, and Gemma Scope allows detailed analysis of model functioning. Google aims to democratize AI and build trust.
Google embarks on a quest for more ethical and transparent artificial intelligence. As part of this effort, it has released a trio of new generative AI models named Gemma 2, which promise higher security, lower hardware requirements, and smoother operation.
Unlike the Gemini models, which Google uses for its own products, the Gemma series is intended for more open use by developers and researchers. Similar to Meta's Llama project, Google is also striving to build trust and collaboration in the AI field.
The first innovation is the Gemma 2 2B model, designed for generating and analyzing text. Its greatest advantage is the ability to run on less powerful devices. This opens the door to a wide range of users. The model is available through platforms like Vertex AI, Kaggle, and Google AI Studio.
The new ShieldGemma introduced a set of safety classifiers whose task is to identify and block harmful content. This includes manifestations of hate, harassment, and sexually explicit materials. In short, ShieldGemma acts as a filter that checks both the input data for the model and its outputs.
The final addition is Gemma Scope, a tool enabling detailed analysis of the Gemma 2 model's functioning. Google describes it as a set of specialized neural networks that unpack the complex information processed by the model into a more comprehensible form.
Researchers can better understand how Gemma 2 identifies patterns, processes data, and generates results. The release of the Gemma 2 models comes shortly after the U.S. Department of Commerce supported open AI models in its report.
These make generative AI accessible to smaller companies, non-profits, and independent developers. Additionally, the report highlighted the need for tools to monitor and regulate these models to minimize potential risks.
OpenAI has introduced a new series of AI models called o1, which promise a revolution in complex thinking and problem-solving. The o1 models excel in fields such as science, programming, and mathematics, achieving results comparable to those of doctoral students. OpenAI has also focused on safety and developed a new training approach to prevent AI misuse.
Think of the breathtaking vision of the future from the movie Blade Runner – holographic ads, cyberspace, and ubiquitous networks. Can this fiction become reality? Find out what we can expect from the internet of the future and how the boundaries between reality and the virtual world will blur.
Network ethernet cables are typically used for data transmission. However, the IEEE 802.3af and 802.3at standards also define the function of power over a network cable. This way, you can power small network devices without the need for an additional power cable. Let's focus on the advantages and disadvantages of PoE (Power over Ethernet) and its specifics.
Are lag and high ping ruining your online gaming experience? Find out what internet speed is really needed for a smooth gaming experience and how to optimize your connection. We'll reveal tips on router settings, the impact of latency on different game genres, and other useful advice to help you become the master of virtual battlefields.
Do you feel safe in the digital world? Cybercrime is like a virus spreading at lightning speed, targeting unsuspecting victims. Ransomware, attacks on the Internet of Things, sophisticated social engineering techniques – threats lurk around every corner. Read on to learn how to defend against cyber predators and protect your data and privacy in the online jungle.
Chatbots with feelings? Emotional AI is a new trend promising a revolution in customer care. Can artificial intelligence truly recognize human emotions, and how could this technology be utilized? Join us to explore the principles of emotional AI, its potential, risks, and the ethical questions associated with machines reading emotions.