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Google Gemini: everything you need to know about the new generative artificial intelligence platform



Google is trying to impress with Gemini, its flagship suite of generative AI models, applications and services.

So what are Gemini? How can you use it? And how does it compare to the competition?

To help you sustain with the latest Gemini developments, we have created this handy guide, which we’ll keep updating as new Gemini models, features, and news about Google’s plans for Gemini grow to be available.

What is Gemini?

Gemini is owned by Google long promised, a family of next-generation GenAI models developed by Google’s artificial intelligence labs DeepMind and Google Research. It is available in three flavors:

  • Gemini Ultrathe best Gemini model.
  • Gemini Pro“lite” Gemini model.
  • Gemini Nanoa smaller “distilled” model that works on mobile devices like the Pixel 8 Pro.

All Gemini models were trained to be “natively multimodal” – in other words, able to work with and use greater than just words. They were pre-trained and tuned based on various audio files, images and videos, a big set of codebases and text in various languages.

This distinguishes Gemini from models akin to Google’s LaMDA, which was trained solely on text data. LaMDA cannot understand or generate anything beyond text (e.g. essays, email drafts), but this isn’t the case with Gemini models.

What is the difference between Gemini Apps and Gemini Models?

Image credits: Google

Google, proving once more that it has no talent for branding, didn’t make it clear from the starting that Gemini was separate and distinct from the Gemini web and mobile app (formerly Bard). Gemini Apps is solely an interface through which you can access certain Gemini models – consider it like Google’s GenAI client.

Incidentally, Gemini applications and models are also completely independent of Imagen 2, Google’s text-to-image model available in a few of the company’s development tools and environments.

What can Gemini do?

Because Gemini models are multimodal, they will theoretically perform a spread of multimodal tasks, from transcribing speech to adding captions to images and videos to creating graphics. Some of those features have already reached the product stage (more on that later), and Google guarantees that each one of them – and more – can be available in the near future.

Of course, it is a bit difficult to take the company’s word for it.

Google seriously fell in need of expectations when it got here to the original Bard launch. Recently, it caused a stir by publishing a video purporting to show the capabilities of Gemini, which turned out to be highly fabricated and kind of aspirational.

Still, assuming Google is kind of honest in its claims, here’s what the various tiers of Gemini will give you the option to do once they reach their full potential:

Gemini Ultra

Google claims that Gemini Ultra – thanks to its multimodality – may help with physics homework, solve step-by-step problems in a worksheet and indicate possible errors in already accomplished answers.

Gemini Ultra can be used for tasks akin to identifying scientific articles relevant to a selected problem, Google says, extracting information from those articles and “updating” a graph from one by generating the formulas needed to recreate the graph with newer data.

Gemini Ultra technically supports image generation as mentioned earlier. However, this feature has not yet been implemented in the finished model – perhaps because the mechanism is more complex than the way applications akin to ChatGPT generate images. Instead of passing hints to a picture generator (akin to DALL-E 3 for ChatGPT), Gemini generates images “natively” with no intermediate step.

Gemini Ultra is accessible as an API through Vertex AI, Google’s fully managed platform for AI developers, and AI Studio, Google’s online tool for application and platform developers. It also supports Gemini apps – but not totally free. Access to Gemini Ultra through what Google calls Gemini Advanced requires a subscription to the Google One AI premium plan, which is priced at $20 monthly.

The AI ​​Premium plan also connects Gemini to your broader Google Workspace account—think emails in Gmail, documents in Docs, presentations in Sheets, and Google Meet recordings. This is useful, for instance, when Gemini is summarizing emails or taking notes during a video call.

Gemini Pro

Google claims that Gemini Pro is an improvement over LaMDA by way of inference, planning and understanding capabilities.

Independent test by Carnegie Mellon and BerriAI researchers found that the initial version of Gemini Pro was actually higher than OpenAI’s GPT-3.5 at handling longer and more complex reasoning chains. However, the study also found that, like all major language models, this version of Gemini Pro particularly struggled with math problems involving several digits, and users found examples of faulty reasoning and obvious errors.

However, Google promised countermeasures – and the first one got here in the type of Gemini 1.5 Pro.

Designed as a drop-in substitute, Gemini 1.5 Pro has been improved in lots of areas compared to its predecessor, perhaps most notably in the amount of information it could actually process. Gemini 1.5 Pro can write ~700,000 words or ~30,000 lines of code – 35 times greater than Gemini 1.0 Pro. Moreover – the model is multimodal – it isn’t limited to text. Gemini 1.5 Pro can analyze up to 11 hours of audio or an hour of video in various languages, albeit at a slow pace (e.g., looking for a scene in an hour-long movie takes 30 seconds to a minute).

Gemini 1.5 Pro entered public preview on Vertex AI in April.

An additional endpoint, Gemini Pro Vision, can process text images – including photos and videos – and display text according to the GPT-4 model with Vision OpenAI.


Using Gemini Pro with Vertex AI. Image credits: Twins

Within Vertex AI, developers can tailor Gemini Pro to specific contexts and use cases through a tuning or “grounding” process. Gemini Pro can be connected to external third-party APIs to perform specific actions.

AI Studio includes workflows for creating structured chat prompts using Gemini Pro. Developers have access to each Gemini Pro and Gemini Pro Vision endpoints and might adjust model temperature to control creative scope and supply examples with tone and elegance instructions, in addition to fine-tune security settings.

Gemini Nano

The Gemini Nano is a much smaller version of the Gemini Pro and Ultra models, and is powerful enough to run directly on (some) phones, slightly than sending the job to a server somewhere. So far, it supports several features on the Pixel 8 Pro, Pixel 8, and Samsung Galaxy S24, including Summarize in Recorder and Smart Reply in Gboard.

The Recorder app, which allows users to record and transcribe audio with the touch of a button, provides a Gemini-powered summary of recorded conversations, interviews, presentations and more. Users receive these summaries even in the event that they do not have a signal or Wi-Fi connection available – and in a nod to privacy, no data leaves their phone.

Gemini Nano can be available on Gboard, Google’s keyboard app. There, it supports a feature called Smart Reply that helps you suggest the next thing you’ll want to say while chatting in the messaging app. The feature initially only works with WhatsApp, but can be available in additional apps over time, Google says.

In the Google News app on supported devices, the Nano enables Magic Compose, which allows you to compose messages in styles akin to “excited”, “formal”, and “lyrical”.

Is Gemini higher than OpenAI’s GPT-4?

Google has had this occur a number of times advertised Gemini’s benchmarking superiority, claiming that Gemini Ultra outperforms current state-of-the-art results on “30 of 32 commonly used academic benchmarks used in the research and development of large language models.” Meanwhile, the company claims that Gemini 1.5 Pro is best able to perform tasks akin to summarizing content, brainstorming, and writing higher than Gemini Ultra in some situations; it will probably change with the premiere of the next Ultra model.

However, leaving aside the query of whether the benchmarks actually indicate a greater model, the results that Google indicates appear to be only barely higher than the corresponding OpenAI models. And – as mentioned earlier – some initial impressions weren’t great, each amongst users and others scientists mentioning that the older version of Gemini Pro tends to misinterpret basic facts, has translation issues, and provides poor coding suggestions.

How much does Gemini cost?

Gemini 1.5 Pro is free to use in Gemini apps and, for now, in AI Studio and Vertex AI.

However, when Gemini 1.5 Pro leaves the preview in Vertex, the model will cost $0.0025 per character, while the output will cost $0.00005 per character. Vertex customers pay per 1,000 characters (roughly 140 to 250 words) and, for models like the Gemini Pro Vision, per image ($0.0025).

Let’s assume a 500-word article incorporates 2,000 characters. To summarize this text with the Gemini 1.5 Pro will cost $5. Meanwhile, generating an article of comparable length will cost $0.1.

Pricing for the Ultra has not yet been announced.

Where can you try Gemini?

Gemini Pro

The easiest place to use Gemini Pro is in the Gemini apps. Pro and Ultra respond to queries in multiple languages.

Gemini Pro and Ultra are also available in preview on Vertex AI via API. The API is currently free to use “within limits” and supports certain regions including Europe, in addition to features akin to chat and filtering.

Elsewhere, Gemini Pro and Ultra might be present in AI Studio. Using this service, developers can iterate on Gemini-based prompts and chatbots after which obtain API keys to use them of their applications or export the code to a more complete IDE.

Code Assistant (formerly AI duo for programmers), Google’s suite of AI-based code completion and generation tools uses Gemini models. Developers could make “large-scale” changes to code bases, akin to updating file dependencies and reviewing large snippets of code.

Google has introduced Gemini models in its development tools for the Chrome and Firebase mobile development platform and database creation and management tools. It has also introduced new security products based on Gemini technology, e.g Gemini in Threat Intelligence, a component of Google’s Mandiant cybersecurity platform that may analyze large chunks of probably malicious code and enable users to search in natural language for persistent threats or indicators of compromise.

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Registration for Startup Battlefield 200 closes tomorrow




Holy procrastination, startup founders! Tomorrow is your last likelihood to use to Startup Battlefield 200 at TechCrunch Disrupt 2024. Your last likelihood to take the Disrupt stage and pitch to an enormous audience full of first-tier global investors, a whole bunch of media outlets, and lots of other influential movers and shakers.

To the purpose: This great opportunity will soon end. Submit your application to 11:59 p.m. PDT Tomorrow, .

Summary: Benefits of Startup Battlefield 200 at TC Disrupt 2024

Once again, just a little louder for the founders within the back who can have missed our previous notes on the perks and advantages that Startup Battlefield 200 (SB 200) firms receive:

Full access to Disrupt: SB 200 founders attend Disrupt for free and receive 4 additional tickets and VIP access to all presentations, breaks and roundtables.

Free exhibition space for your entire show: SB 200 will probably be the one early-stage startup allowed to exhibit at Disrupt.

Investor interest and media exposure: Investors hunting for future unicorns and journalists looking for the subsequent big story will head to the exhibit floor to fulfill and greet the founders of SB 200.

Pitching workshops and training: SB 200 founders will probably be invited to exclusive workshops and masterclasses within the weeks leading as much as Disrupt, including special pitch training led by TechCrunch staff.

Brief information for investors and Best Contributors editors: This training will come in useful while you hit the Pitch Showcase stage. You will receive invaluable feedback and should even find your way into an investor’s portfolio.

Odds for $100,000: TechCrunch editors will select 20 startups from SB 200 to grow to be Startup Battlefield finalists. The founders of those 20 firms will receive private coaching, be featured in a TechCrunch article, and perform continue to exist stage in front of your entire Disrupt audience. The ultimate winner will take home a $100,000 zero-equity prize.

TechCrunch Disrupt will happen October 28-30 in San Francisco. Your opportunity to step onto the worldwide Disrupt stage and speed up your startup’s growth will soon come to a halt. Apply for Startup Battlefield 200 – By When?By 23:59 PDT Tomorrow. Do it!

Is your organization enthusiastic about sponsoring or exhibiting at TechCrunch Disrupt 2024? Contact our sponsorship sales team via by completing this manner.

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Apple begins a new era with Apple Intelligence




The Apple Worldwide Developers Conference focused heavily on artificial intelligence. Apple has unveiled its Apple Intelligence generative artificial intelligence offering, which will probably be available on iOS later this 12 months. iOS 18 could have a host of new features, including the flexibility to schedule text messages and customize the house screen, major updates to Siri – including ChatGPT integration – and AI-generated emojis. In case you missed it, we have put together a handy summary of every thing Apple announced.

Tesla CEO Elon Musk secured enough shareholder votes to approve a stock option compensation package for 2018. The vote means he could receive a payout of as much as $56 billion, which could be the most important CEO pay package in history, but a judge in Delaware still must issue a final decision after she ruled the package was unfair.

In terms of funding news, Mistral AI has closed its much-talked about Series B funding round. The company secured €600 million (about $640 million at today’s exchange rates) in equity and debt. The new round values ​​the startup at $6 billion because it continues to compete with OpenAI, Anthropic and other AI giants.


Former NSA chief joins OpenAI: Former NSA chief, retired Army Gen. Paul Nakasone, will join OpenAI’s board and serve on its security subcommittee. read more

Tesla shareholders sue Elon Musk: Shareholders Tesla is suing Elon Musk and board members over Musk’s decision to found xAI. They claim that talent and resources are being diverted from Tesla to the new startup. read more

BeReal is bought: The French publisher of mobile applications and games Voodoo acquired BeReal for EUR 500 million. BeReal co-founder and CEO Alexis Barreyat will leave the corporate after a transition period. read more

You can hand over rings: Apple has finally allowed users to pause activity rings on Apple Watch, which is particularly useful in the event you’re sick or otherwise unable to interact in physical activity. read more

Raspberry Pi goes public: The maker of small, low-cost single-board computers priced its IPO on the London Stock Exchange at 2.80 kilos a share, valuing it at $690 million at today’s exchange rates, and quickly rose to three.70 kilos a share. read more

iPads finally get a calculator app: iPads could have a dedicated calculator app for the primary time. But, teachers, watch out. The app includes Math Notes, a new feature that does the mathematics calculations for you. read more

A new smartphone that doesn’t distract your attention: Minimalist smartphone maker Light has announced its latest model. The Light Phone III doesn’t have social media or web access, but it surely does have a larger OLED display and camera. read more

Spotify introduces internal solutions: Spotify is moving deeper into the promoting space with its first in-house creative agency, Creative Lab. The company said it’s going to also begin testing AI generative promoting. read more

Will your device have iOS 18?: Apple’s iOS 18 will probably be compatible with many Apple devices this fall, but when you wish to take full advantage of Apple Intelligence, you might have to update. read more


Apple Intelligence doesn’t attempt to be flashy: With iOS 18, Apple is taking a more cautious approach. Rather than overwhelming users with too many AI features, the corporate is rigorously implementing AI where it believes it may well actually be useful. While Apple’s AI actually is not that flashy, Sarah Perez says it’s the corporate’s way of setting the stakes for what an AI-powered device should find a way to do. read more

Tesla fans participate within the vote: Tesla and its fans have fought an unprecedented battle over Elon Musk’s $56 billion compensation package. Over the past few months, Tesla’s biggest fans have been continually attempting to get out of the vote. Sean O’Kane is examining the myriad calls to motion on Issue X to get shareholders to vote yes and reinforce their belief that Tesla is nothing without Musk. read more

Why Y Combinator encourages small seed rounds: In 2024, many Y Combinator startups only want small seed rounds, but that might scare off many institutional seed VCs. If YC startups treat these rounds more like pre-seed funding, perhaps things won’t be so bad. However, as Rebecca Szkutak writes, there are risks if firms label these smaller rounds as “seed rounds” with the goal of raising the A rank again. read more

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Subscription vitamin company Care/of is closing




Care/A company offering personalized vitamin packages via subscription says that as of Monday, June 17, it can cancel all subscriptions and can not accept recent orders.

This news doesn’t come completely out of the blue, as Care/of previously revealed to the New York Department of Labor sawing that it plans to put off all 143 employees by July 3 as a result of “loss of financial resources.” Now the company is speaking in additional detail and decisively in regards to the closure, including: yesterday’s post on Instagram thanking customers and saying, “Unfortunately, we no longer have the resources to operate in the way we have been doing.”

The post doesn’t completely close the door to a relaunch, stating: “We are actively exploring options for the brand, but don’t have anything final to share right now. We hope to be in a spot where we are able to share more information soon.”

Founded in 2016 by Craig Elbert and Akash Shah, Care/of asked customers to finish a quiz about their lifestyle and values, based on which it really useful a personalised mix of vitamins and supplements. Investors included Juxtapose, Goodwater Capital, Tusk Venture Partners, Bullish and RRE Ventures.

pharmaceutical giant Bayer acquired a majority stake within the company in Care/of in 2020. Earlier this month, Bayer Chief Strategic Communications Officer Christin Miller said NutraIngredients that “stopping further investments in Care/of will enable Bayer to better invest in future innovations that help people manage their health.”

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