Gemini AI

What is Google’s Gemini AI? | Full Guide

Do you know that? Google recently launched a new multimodal AI model, “Gemini AI” that will understand and identify text, photos, music, video, and code. Everything you need to know about Gemini will be covered in our article, including what it is. how it operates, how strong it is, and what it will be able to do.

What Is Gemini?

Gemini is a new and strong artificial intelligence model by Google that can recognize not only text but also photos, videos, and sounds. It can complete challenging problems in math, physics, and other subjects. It may also be used in various types of programming languages to learn and generate high-quality code.

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What are the different versions of Gemini?

Gemini AI

The model has three confirmed sizes: Gemini Ultra, Gemini Pro, and Gemini Nano; each of them has their own set of capabilities.

Gemini Nano:

This model’s size is designed to operate on smartphones, especially the Google Pixel 8. It is designed to carry out AI-intensive on-device functions (such as text summarization and reply suggestion within chat apps). Without requiring a connection to other servers.

Gemini Pro:

Gemini Pro can run on the latest version of Bard. It has the ability to process complex questions and respond quickly. 

Gemini Ultra:

Google says that the Gemini Ultra is the most qualified model. Even though it is currently not ready for public use. According to Google, Gemini Ultra outperforms the “state-of-the-art on 30 of the 32 commonly used academic benchmarks used in the creation and research of large language models (LLMs).”

Gemini Ultra is the first model to surpass human specialists in this domain, with an MMLU (massive multitask language understanding) score of 90.0%. The MMLU analyzes general knowledge and problem-solving skills in 57 subject areas, including math, physics, history, law, medicine, and ethics.

Gemini AI

Is Gemini AI better than ChatGPT?

Gemini AI
  • The most advanced AI ChatGPT 4.0 contains 1.75 trillion parameters. Gemini, on the other hand, is said to exceed this figure. Reports say it will have 30 trillion or even 65 trillion parameters. However, the strength of an AI system is more than just large parameter values.
  • Google says that Gemini Ultra had an MMLU score of 90%, while GPT-4 received a score of 86.4%.
  • According to a SemiAnalysis study, Gemini is going to “smash” ChatGPT 4.0. Gemini may become up to five times more powerful than ChatGPT 4.0 by the end of 2023, according to SemiAnalysis.

FAQ’s for Gemini AI

Q: Who designed Gemini?

Google and Alphabet designed this super cool Gemini AI, which is the corporation’s most powerful AI model ever. Google DeepMind also assisted in developing Gemini.

Q: How can you use Gemini AI?

A refined version of Gemini Pro is now used by Google Bard, which is compatible with Pixel devices. In the upcoming months, Google intends to release it for Chrome, Duet AI, Ads, and Search. Developers can access Gemini Pro starting on December 13 through Google Cloud Vertex AI or Google AI Studio’s Gemini API.

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Q: What things can Gemini AI do?

It operates numerous functions, as vast as it’s consumption of data. Think of:

  1. Personalized medical diagnosis: Provides more precise and detailed diagnoses through the analysis of multimodal data, such as medical scans and patient histories.
  1. Interactive storytelling: Using Gemini’s ability for language, sound, and image, you can make compelling stories that relate to your choices and thoughts.
  1. Natural language-based code generation: Software development has become easier by converting your concepts into code that follows commands in natural language.
  1. Improved search engines: Deliver incredibly useful outcomes by combining your search history, visual hints, and query wording.
  1. Recognize languages visually: If you show Gemini a live video feed of a music score with Italian notation, it will quickly figure out what it means and explain it to you.

Conclusion:

Google has made a great impact with the launch of Gemini AI. This new multimodal AI is more precise and has a vast array of abilities that outsmart GPT-4. It does not stop here; We will discover more mind-blowing abilities of Gemini Ultra. Gemini will be used by programmers to write, automate, and improve cloud and edge operations and boost sales. It will incorporate into futuristic Google tech smartphones, applications, APIs, and much more. It will also be used to build chatbots and AI assistants.

Read Our Blog: The Role Of AI In Cyber Security: A Double-Edged Sword

AI in cyber security

The Role Of AI In Cyber Security: A Double-Edged Sword

We live in a world where the role of AI in cyber security is revolutionising by improving threat detection and prevention capabilities.  As we indulge in the dark side of AI, we shed light on how technology may be used for bad objectives like making self-driving weapons, abusing social media, or sharing misleading information.  You’ll see in this article why some scientists fear it could present a larger threat than nuclear weapons.

Pros and Cons of AI in Cyber security

AI has massive effects on cyber security, both in terms of improving protection and introducing new difficulties and hazards. So lets take a brief look on whether cyber security is good or bad for us?

Pros of AI in Cyber security

AI in cyber security
  1. AI-powered cybersecurity systems can analyse vast amounts of data in real time, allowing for speedy and accurate threat identification
  2. Removing compromised systems, stopping criminal activities, and launching cleanup processes are all examples of computerized responses.
  3. Algorithms for artificial intelligence can learn from fresh data indefinitely and react to changing dangers. This continuous learning mechanism guarantees that cybersecurity safeguards stay current and effective in the face of new attack strategies.
  4. Based on past data and current patterns, AI may predict possible security flaws and hazards.
  5. AI-driven cyber security products excel at quickly spotting suspicious activity, analysing network activity constantly, and doing real-time threat analysis.

Cons of AI in Cybersecurity

AI in cyber security
  1. False alerts or fake negatives (failing to identify real threats) produced by AI systems might result in the waste of resources or the neglect of dangers.
  2. It can be challenging and expensive to integrate AI into the current cybersecurity architecture.
  3. Insufficient or inaccurate data might result in incorrect conclusions and reduce the effectiveness of threat detection.
  4. AI-driven cyber security solutions bring up moral issues, including privacy concerns and decision-making biases.
  5. By altering input data, cybercriminals might try to trick AI systems, leading to false conclusions and failed security.

How AI in Cyber security is a Double Edge Sword?

AI in cyber security

Just imagine you’re normally doing your work and suddenly your system starts playing scary music, then it starts to blink, and suddenly it shuts down entirely without any warning. Imagine this on a large scale; the malfunction will be frightening. Here are some reasons why some researchers think AI might be even more hazardous than nuclear weapons:

Combat with AI

Imagine a day when AI-controlled robotic arms fight wars instead of people.  In the wrong hands, these robot arms may theoretically be designed to murder without any human involvement, making them a very lethal instrument.

AI and social engineering

The dangers of AI extend beyond the physical world. It presents a serious risk in both the physical and digital realms. Imagine an AI with the power to influence social media platforms, disseminate false information, and significantly destabilize civilizations on a larger scale than we have seen in recent years. Isn’t it a terrifying thought?

AI Rules and Ethics

When it comes to AI in particular, immense power also comes with enormous responsibility. It’s vital that we think about the moral effects of this technology’s evolution as it develops further. To guarantee that AI is utilized properly and not negatively, stronger oversight is required.

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Future of AI in Cyber Security

AI in cyber security

Artificially generated neural networks may one day be used to increase the security of a system or an organisation by gradually understanding the patterns involved. It basically looks for possible dangers that share a similar property, and those that are found are immediately stopped. When combined with cyber security, artificial intelligence technology makes it challenging for hackers to break into something because the technology constantly learns from different situations, making it challenging for them to surpass the system’s intelligence as it advances through the learning process.

Conclusion:

The role of AI systems in cyber security is to cut through huge amounts of information, identify trends, and make sensible choices in real-time. AI has the potential to greatly enhance human lives and advance science. But if it is not properly managed and regulated, technology may become dangerous. We must be cautious when developing and using AI. To stop abuse and keep control of this deadly technology, stronger oversight is required.

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