In the new AI arms race that is on today, the speed at which the biggies are throwing these untested models into the public domain is unsettling given the potential damage it can cause to society at large. Read On. #ai #genai #gemini
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Director of Operations at Media Genesis | AI Business Strategist & Attorney | Integrating AI Innovation with Legal Expertise in Website Accessibility
In the latest twist of Google's well-known penchant for rebranding, Bard supposedly will transform into Gemini on Feb 7th, unveiling not just a new name but an ambitious overhaul. As Gemini aims to redefine the landscape with its Ultra model, this move could catalyze a new era in the competitive AI space, reminding us once again of Google's flair for innovation and notorious habit of shaking up names and expectations. Stay tuned as we embrace this exciting chapter in AI's evolution. Maybe. 😎 This is Google after all. #GoogleGemini #AIRevolution #TechNews
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OK, we've all had a good hoot and holler about the #gemini chatbot's racially diverse Nazi soldiers. But Google's screw-ups actually provided a huge public service. Let my colleague Clive Crook explain: [[The laughable screw-ups in the Gemini chatbot’s image-generation — racially diverse Nazi soldiers? —offered a salutary glimpse of an Orwellian dystopia. And in so doing, they also highlighted vital questions of opacity, trust, range of application, and truth that deserve more attention as we contemplate where AI will lead.... Even if errors could be reliably identified and counted, the criteria for judging the performance of AI models are unclear. People make mistakes all the time. If AI makes fewer mistakes than humans, would that be good enough? For many purposes (including full self-driving) I’d be inclined to say yes, but the domain of questions put to AI must be suitably narrow. One of the questions I wouldn’t want AI to answer is, “If AI makes fewer mistakes than humans, would that be good enough?”]] Lots to chew on here about #AI and where it will lead. Give it a look. https://lnkd.in/eCvrV5pW
Google’s Bad Gemini Rollout Did the World a Favor
bloomberg.com
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Exploring Google's AI-First Mindset: What Sets It Apart from Traditional Companies https://lnkd.in/du26VUmr 👍 ✔️ㅤ ✔️ㅤ 🔻 🔻 ˡᶦᵏᵉ ˢᵘᵇˢᶜʳⁱᵇᵉ ᶜᵒᵐᵐᵉⁿᵗ ˢᵃᵛᵉ ˢʰᵃʳᵉ #AI #Innovation #Google #CareerInsights #TechLife #FutureOfWork #AIEvolution
What is Google actually like as an AI-First Company?
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Engineering Billion-Dollar Algorithms at Stealth Startup | X-Rappi, X-Greycroft, X-Literati | Passionate About Solving Impossible Puzzles
Is this a failure in RAG or a failure in hyper-parameter optimization? Perhaps both. For me, this demonstrates the importance of controlling the temperature parameter of an LLM. Some tasks require creativity. But with creativity can come hallucinations. So in the cases where we expect a purely and solely factual response, the temperature really has to be dialed down. I’ve seen so many posts online about engineers complaining that a particular LLM is not intelligent. And then they realized all they needed to do was turn the temperature down. It’s entirely possible that the system that Google has built here is truly impressive under the hood. But if you have chosen the wrong hyper-parameters, it doesn’t matter. This is why it is critical to test the landscape of hyper parameters as part of their online A/B testing process.
Google has managed to scale hallucinations. Despite months of testing before release, users of Google’s new “AI Overviews” have found loads of hallucinations (some potentially harmful). While this was inevitable, it does highlight some of the key flaws of RAG, which was ironically designed to reduce hallucinations: - Presenting all sources equally to an LLM, which is typical in most RAG systems, leads to gross misinterpretations. - Satire and irony is often only obvious with much broader context making it very difficult for an LLM to detect in an augmented generation setting. This feature has been very poorly received in general. Pulling off huge horizontal AI integrations is extremely challenging, even for Google.
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Senior Software and DevSecOps Engineer | Driven by curiosity | 2x WebSummit dev ticket winner | TIM WCAP class 2015 | Down-to-earth person with sky-high ambitions
A quick recap on #Google Search powered by #GeminiAI. This is the "quality" of one of the biggest companies out there applied to their biggest and most profitable product, Search, which in turn powers #ads. Yet the level of hallucinations is so high we should question if we can use Google at all to ask those questions. And Alphabet CEO has recently said it has no idea how to fix #GenAI hallucinations. Damn interesting.
Google has managed to scale hallucinations. Despite months of testing before release, users of Google’s new “AI Overviews” have found loads of hallucinations (some potentially harmful). While this was inevitable, it does highlight some of the key flaws of RAG, which was ironically designed to reduce hallucinations: - Presenting all sources equally to an LLM, which is typical in most RAG systems, leads to gross misinterpretations. - Satire and irony is often only obvious with much broader context making it very difficult for an LLM to detect in an augmented generation setting. This feature has been very poorly received in general. Pulling off huge horizontal AI integrations is extremely challenging, even for Google.
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NLP | LLMs | GenAI | Deep Learning | Python Application Developer (AI/ML) @ Dexian Bangladesh
Hallucinations from Gemini are on a different level.
Google has managed to scale hallucinations. Despite months of testing before release, users of Google’s new “AI Overviews” have found loads of hallucinations (some potentially harmful). While this was inevitable, it does highlight some of the key flaws of RAG, which was ironically designed to reduce hallucinations: - Presenting all sources equally to an LLM, which is typical in most RAG systems, leads to gross misinterpretations. - Satire and irony is often only obvious with much broader context making it very difficult for an LLM to detect in an augmented generation setting. This feature has been very poorly received in general. Pulling off huge horizontal AI integrations is extremely challenging, even for Google.
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Google's AI, Gemini, recently faced a hiccup, painting a vivid picture of what happens when innovation races ahead without a thorough check. This oversight led to a $90-billion drop for Alphabet, shining a light on the fine line between advancing fast and ensuring accuracy. CEO Sundar Pichai admitted the missteps with Gemini, which made headlines for generating historically inaccurate images and answers. This ranged from altering history with an Asian founding father to misjudging the impact of figures like Adolf Hitler and Elon Musk, sparking widespread debate. This situation reveals more than just a technical glitch; it shows a hurried push to stay ahead in the AI game, sometimes at the cost of reliability. Google's rush led to overlooked errors, sparking a conversation about the balance between innovation and the integrity of our digital narratives. 🌱 A Moment to Reflect: As Google works to mend Gemini, the bigger task is regaining trust. It's a reminder for all in tech: moving fast is exciting, but moving wisely builds the future we all believe in. What do you think is the key to balancing innovation with accuracy in the world of AI? #AIethics #Technology #Google #InnovationWithCare
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Google just dropped a bombshell!, they unveiled Gemini, their most powerful AI system ever. This groundbreaking technology breaks new ground in several ways: Multimodal Mastermind: Unlike its predecessors, Gemini can juggle images, audio, video, and text with ease, thanks to the combined efforts of Google DeepMind, Google Research, and other brilliant minds across the company. Flexes Across Devices: Whether you're crunching data in a server farm or checking your phone, Gemini seamlessly adapts, showcasing remarkable flexibility. Efficiency Champion: Not only is Gemini powerful, but it's also resource-efficient, making it a practical choice for diverse applications. This is a monumental day for AI, and Gemini's potential is truly captivating. We can't wait to see how this innovative technology shapes the future!#googleadwords #performancemarketing #marketgrowth #googleadscampaign #geminiai #gemini #google
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Data Science, Google Ads | Data Science Coach | Helping Data Scientists Level Up in their Careers
Google IO 2024 was 🔥 Fun fact: Did you know the name "I/O" is taken from the number googol, with the "I" representing the first digit "1" in a googol and the "O" representing the second digit "0" in the number! 🤓 1. Universal AI agent, Project Astra, with multimodal understanding and real-time conversational capabilities. https://lnkd.in/ev76sKqv 2. Gemini is now integrated with the Android operating system, with features like Circle-to-Search https://lnkd.in/e9-9sbdg 3. Multimodality and long-context comes to life with Workspace, allowing for summarization of meetings and emails https://lnkd.in/eN7rxDs9 4. Google Search with multi-step reasoning capabilities and improved experience in planning, researching, brainstorming, and complexity adjustments https://lnkd.in/epkm_i9d 5. New AI safeguards to protect against misuse and make learning engaging and accessible, while also being responsible. https://lnkd.in/euNG62JR Which update did you love the most? 👏
Project Astra: Our vision for the future of AI assistants
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Master Data Management Specialist | Azure, Reltio & Neo4j Certified | SQL & Python Expert | PSGCT '21
100 Things Google Announced at I/O 2024: The Future is Here!🚀 Google unveiled an extraordinary 100 developments that will impact the world of technology for decades to come. ♻ No matter your area of interest, whether that means life-changing AI advances, new hardware pieces of technology, or green initiatives, Google has something for you. 📱 Please refer to the Google blog for more information on Google’s 100 other announcements! Link: https://lnkd.in/dU6RXaCv What are your thoughts on these announcements? Share your thoughts in the comments below! #GoogleIO #Tech #FutureOfTech #AI #GoogleCloud #GoogleSearch #GoogleWorkspace #Google
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