For Android users, Gemini can also replace Google Assistant. Because Gemini is connected to the web, you can also use it for enhanced search summaries, pulling in real-time information from online sources. It can also be used to generate images from simple descriptions using Google’s Imagen 3 text-to-image model.

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Gemini 2.0 Flash, which can use tools like Google Search and interact with external APIs, outperforms some of the larger Gemini 1.5 models on benchmarks measuring coding and image analysis. Developers can control the model’s creative range and provide examples to give tone and style instructions — and also tune Pro’s safety settings. Google says that its latest Pro model, Gemini 2.0 Pro, is its best yet for coding and complex prompts. Because Gemini models are multimodal, they can perform a range of multimodal tasks, from transcribing speech to captioning images and videos in real-time.
Pichai faced growing calls to resign, including from technology analysts Ben Thompson and Om Malik. Hassabis stated that Gemini’s ability to generate images of people would be restored within two weeks; it was ultimately relaunched in late August, powered by its new Imagen 3 model. In an internal memo to employees, Pichai called the debacle offensive and unacceptable, promising structural and technical changes. In response, Krawczyk said that Google was “working to improve these kinds of depictions immediately”, and Google paused Gemini’s ability to generate images of people.
We’ll note here that the ethics and legality of training models on public data, in some cases without the data owners’ knowledge or consent, are murky. This sets Gemini apart from models such as Google’s own LaMDA, which was trained exclusively on text data. All Gemini models were trained to be natively multimodal — that is, able to work with and analyze more than just text.
Originally launched as Bard, the chatbot was rebranded as Gemini in early 2024, merging with Duet AI in a new Android app deployment. Within weeks the company launched Gemini 2.0 Experimental Advanced, apparently the full version of the current generation. The first version to be released was Gemini 2.0 Flash Experimental, a high performance multimodal model, which supports tool use like Google search, and function calling for code generation. These 2B and 7B parameter models were seen as a direct response to Meta’s release of the Llama model family. As the names suggest, the models ranged from high power down to petite versions designed to run on phones and other small devices.

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• Gemini Advanced users can create Gems, custom chatbots on desktop and mobile powered by Gemini models.
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• The Gemini apps aren’t the only means of recruiting Gemini models’ assistance with tasks.
• Google released a major update to the chatbot in September, integrating it into many of its products through “extensions”, adding a button to attempt to fact-check AI-generated responses through Google Search, and allowing users to share conversation threads.
• Apple has said that it’s in talks to put Gemini and other third-party models to use for a number of features in its Apple Intelligence suite.
• It’s available in the Gemini apps on mobile and the Pixel Buds Pro 2, where it can be accessed even when your phone’s locked.

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It’s like having a personalized research agent that helps you get up to speed on just about anything. Want to understand the DNA replication process or how to build something by hand? The Wall Street Journal’s editorial board wrote that Gemini’s “apparently ingrained woke biases” were “fueling a backlash toward AI on the political right, which is joining the left in calling for more regulation.”

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Musk and other users targeted Krawczyk, resurfacing his past comments discussing race, leading Krawczyk to withdraw from X and LinkedIn. These images were derided on social media, including by conservatives who cited them as evidence of Google’s “wokeness”. Google also launched “Gemini Advanced with Ultra 1.0”, available via a “Google One AI Premium” subscription, incorporated Gemini into its Messages app on Android, and announced a partnership with Stack Overflow. On February 8, 2024, Bard and Duet AI were unified under the Gemini brand, with a mobile app launched on Android and the service integrated into the Google app on iOS.
While Gemini as a chatbot might get most of the new models and attention from AI aficionados, most of the eyes on AI will be going to Gemini on mobile. The other side of Google takes those models and puts them into products. DeepMind and Google AI lead the research and release the models. Google is both a research and a product company. At the same time the company also made a surprising foray into open model territory, with the launch of the free Gemma product.

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Pichai revealed on March 31 that the company intended to “upgrade” Bard by basing it on PaLM, a newer and more powerful LLM from Google, rather than LaMDA. Shortly after Bard’s initial launch, Google reorganized the team behind Google Assistant, the company’s virtual assistant, to focus on Bard instead. Bard is trained by third-party contractors hired by Google, including Appen and Accenture workers, whom Business Insider and Bloomberg News reported were placed under extreme pressure, overworked, and underpaid.

• Using it on your smartphone unlocks more features than the web-based version.
• Create high-quality, 8-second videos with our latest video generation models.
• The Gemini architecture is trained natively on multiple data types, allowing the models to process and generate text, computer code, images, audio, and video simultaneously.
• In November 2022, OpenAI launched ChatGPT, a chatbot based on the GPT-3 family of large language models (LLMs).
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• For example, one Google model variant, Gemini 2.0 Flash Thinking, is the first Gemini version with the ability to think and reason as OpenAI o1 does.

Accuracy is improving, but results still need to be cross-checked. Using it on your smartphone unlocks more features than the web-based version. Gemini isn’t immune from inaccuracies and reviews elsewhere have reported that the model can misunderstand the detail of what it’s being asked. We noted some bugs, but many of those have been ironed out since, with plenty of new features added.
For most users, Gemini is best seen as an alternative to ChatGPT. There’s also Gemini Nano for on-device AI processing. All of these are underpinned by a large language model, which was released as Gemini in December 2023. Some features may also only be available in certain countries. AI tools are updated regularly and it is possible that some features have changed since this article was written.

Google released a major update to the chatbot in September, integrating it into many of its products through “extensions”, adding a button to attempt to fact-check AI-generated responses through Google Search, and allowing users to share conversation threads. Bard took center stage during the annual Google I/O keynote in May 2023, with Pichai and Hsiao announcing a series of updates to Bard, including the adoption of PaLM 2, integration with other Google products and third-party services, expansion to 180 countries, support for additional languages, and new features. Unlike Microsoft’s approach with Bing Chat, Bard was launched as a standalone web application featuring a text box and a disclaimer that the chatbot “may display inaccurate or offensive information that doesn’t represent Google’s views”.
Google ended its contract with Appen in January 2024, while image generation was added to Bard the next month, using Google Brain’s Imagen 2 text-to-image model. In October, during the company’s annual Made by Google event, Hsiao unveiled “Assistant with Bard”, an upgraded version of the Google Assistant which was integrated with Bard. Online users later discovered that Google Search was indexing Bard conversation threads on which users had enabled sharing; Google stated that this was an error which was corrected. Google also introduced the “Google-Extended” web crawler as part of its search engine’s robots.txt indexing file to allow web publishers to opt-out of allowing Bard to scan them for training. An invite-only chatroom (“server”) on Discord was created in July, consisting of users who heavily used Bard. Bard gained the ability to assist in coding in April, being compatible with more than 20 programming languages at launch.
Google’s AI Studio platform offers templates for creating structured chat prompts with Pro. In Google’s Vertex AI platform, developers can customize Gemini Pro to specific contexts and use cases via a fine-tuning or “grounding” process. 2.0 Pro outperforms its predecessor, Gemini 1.5 Pro, in benchmarks measuring programming, reasoning, math, and factual accuracy. Of course, Google offers no fix for some of the underlying problems with generative AI technology today, like its encoded biases and tendency to make things up (i.e., hallucinate). Many of these capabilities have reached the product stage, and Google is promising much more in the not-too-distant future. With Gemini Live enabled, you can interrupt Gemini while the chatbot’s speaking to ask a clarifying question, and it’ll adapt to your speech patterns in real-time.

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In early 2024, Google suspended the model’s ability to generate images of people after users reported historical inaccuracies and bias in its depictions of human subjects. Commentators jungliwin have highlighted the models’ benchmarks in coding and retrieval tasks as competitive with OpenAI’s GPT-4 and GPT-5. The 1.5 and 3.0 model generations introduced extended context windows, enabling the analysis of large datasets such as entire codebases, long-form videos, or extensive document archives in a single prompt. Google distributes the technology in varying capacities, ranging from efficient on-device versions (“Nano”) and cost-effective, high-throughput variants (“Flash”) to high-compute models designed for complex reasoning (“Pro” and “Ultra”). The latest Gemini model launch has been accompanied by a series of major Google application releases or previews tied into the new model.
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The models integrate into the Google ecosystem through the Gemini mobile app, which functions as an overlay assistant on Android devices, and through the Vertex AI platform for third-party developers. The Gemini architecture is trained natively on multiple data types, allowing the models to process and generate text, computer code, images, audio, and video simultaneously. On Android developers can even use the Gemini Nano model in their own apps without having to use a cloud-based, or costly model to perform basic tasks.