Best LinkedIn posts about Google Bard

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The best LinkedIn posts about Google Bard

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UPDATE 2. It appeared a lot of data was incorrect in this table, I am sorry for not cross checking it. GameMakers mentioned Google Bard and that should have indicated something.😉 I keep this post for education and experiment purposes, please do not share it as real data. 🤓 Thanks 👊 Joseph Kim Rytis Jadzevičius Sergei Klimov Michael Metzger Kosala U. Xavier Liard and others for the crowdsourced investigation 🤘 Please fill out the new Poll whether AI generated content should be marked by law - find in the comments🙏 UPDATED 1. CD Projekt Red actual revenue ('21) was under 1 BN and the headcount around 1k, meaning around 100k/employee/year. ORIGINAL POST: Check out this list of the biggest game development companies with revenue greater than $100k per employee! 💪💪💪 Please keep in mind that some companies may be missing from the list due to unclear data, as noted by the source GameMakers. #GameDev #InterestingFacts #FridayMotivation


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    Hi Network! We are organizing an SEO mastermind in Pune for people in the city who are working in the SEO industry. The session will be full of powerful insights and industry-first discussions that will fuel your appetite for advanced SEO. This is the first meet-up we are organizing and plan to organize many more in the future. Since this is one of the first events, it is invite-only. We only have 9 seats left, use the form link in the link added in comments to book your seat today! Agenda for the session: 30 min - Introduction 20 min - Growth content framework case study by Swapnil 15 min - Tech success - Case study by Mahendra 30 min - Refreshments & networking 30 min - Open Discussion - Future of SEO industry post Open AI and Google Bard 10 min - Final message & feedback Let's grow Pune's SEO community together! #seo #pune #punemeetup #marketing #content


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      ChatGPT and Google Bard may soon be able to write content better than I can. But here’s some things that AI tools won’t be able to emulate 👇 1️⃣ Your experiences Ultimately, it’s your successes and failures that buy you credibility on LinkedIn. 10+ different accounts could write the exact same post about ‘How to monetise your personal brand’ The exact same copy, the exact same cadence. And yet, the creator that’s managed to walk the walk will ALWAYS gain the most traction. Why? Because your audience will better understand the value of your words. 2️⃣ Your journey Another reason why people follow you: they’re invested in your journey. The ups, the downs, and everything in between. Sites like LinkedIn are primarily places for people to connect, and learn, from one another. Let’s not lose sight of that. 3️⃣ Your personality When it comes to finding your tribe, personality matters. The accounts you follow, the content that you engage with, and the people that you DM. AI tools are exactly that: tools. They’re not going to sink the creator economy. They’re going to help us work smarter, faster, and more effectively. It’s certainly an exciting time to be alive. I’m all in favour of doing less of what a robot can do for me, to focus more on what only I can share. What are your thoughts on AI in this space?


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      ChatGPT V/S Google Bard


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        Can IA truly revolutionize the influence market? 🤖 With the rise of Chat GPT, Google Bard and more, we can wonder how the influence market will be impacted. Here are my thoughts 👇 IA can become a real assistant to generate ideas, hooks, video scripts etc. Some softwares can even edit videos in seconds, generate background and more. It is a huge time saver for creators. For brands, it can be interesting to look into IA for UGC content especially for ads.  But is it ever gonna replace content creators? I don’t think it’s that easy. Users follow and appreciate creators for their personality, their emotions, how relatable they are. Complicated to display that with AI influencers. However, famous virtual influencers count millions of followers like Lu do Magalu or Imma Gram. At Stargazer , we’ve invested in IA for our clients. Our tech team is constantly working on improving our services. Want to learn more? Contact me! 


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          ChatGPT vs Google Bard: Which AI will win?


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          Chat GPT vs Google Bard After Microsoft's $10 Billion investment in Open AI, Google responded by launching its AI Chatbot "Bard". What do you think, which OpenAI has more potential? Comment below #investment #google #Microsoft #comment #AI #technology #openai


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          Generative AI space is changing faster than ever.🚀 With the recent announcement of a partnership between Microsoft and Open AI! Google Bard wants a piece of the Gen AI Market, which is growing at a 25X rate. And ChatSonic was recognised as one of the best products in the market by Microsoft and Satya Nadella at Bing AI Launch; Chatsonic performed over 2.5 million generations in the last two months and was recognised by G2 as the fastest-growing internet product for 2023 with the likes of Airtable Notion and Zapier Keep watching out for the space. The technology team headed by Nafeen Abdul and Samanyou Garg is working on building some great integrations.


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            How to develop AI intuition as a Product Manager?   With the onset of Chat GPT and Google BARD, we are more aware of AI than ever before. AI is everywhere, almost every major application we use on a daily basis from Netflix to Linkedin, uses AI.   AI Intuition-> The ability to look for applications of AI in the products we build.   To develop AI intuition, make it a habit to think about these questions whenever you experience a new product - 1. What is the objective? 2. Which algorithm was used? 3. What are the variables? 4. What are the constraints? 5. What are the data sources?   ------------------------------------------------------------------- Background on what each of these mean:   1. Objective: Defining what you want the ML algorithm to accomplish. (Ex - Search algorithm; For a search to be successful, it needs to return the most relevant result for a random input)   2. Algorithm: 3 main types of Machine Learning algorithms ~Supervised Learning: Used when we can classify observations into specific labels (Ex - Predicting house prices: Variables -> square footage, no of rooms, facilities available, etc. and it's corresponding price (specific label)) ~Unsupervised Learning: Used when we need to classify observations by identifying patterns (Ex - Netflix Movie Suggestions based on usage data and data about people similar to you in parameters like age, gender etc.) ~Reinforcement Learning: Used when algorithm take actions and learns from results (Ex - Self driving cars)   3. Variables: Variables help our algorithm learn and improve, they help us personalise the user's experience by making it more relevant. (Ex - In an Amazon search algorithm, the variables that help improve the search experience would be price, brand or the shipping cost)   4. Constraints: Constraints are rules that limit the flexibility of our algorithm and limit the results. (Ex - For LinkedIn news feed on the home page, a constraint could be to only show updates from people in one's network to avoid showing content from people that users might not recognise)   5. Data Sources: 3 primary data types ~User Activity Data: Collected by capturing how users interact with our product ~Feedback Data: Collected explicitly from users who provided feedback about our product (in product, in context prompts) ~Offline or 3rd Party Data: Collected outside the scope of product -------------------------------------------------------------------   I found this course by Tomer Cohen, "Becoming an AI-First Product Leader" particularly helpful in getting started on this journey, highly recommend it. Happy Learning! #ai #machinelearning #productmanagement


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              🥇Google Bard AI vs Chat GPT !! 🍵OR Google vs Microsoft 🖥️ WOW Good News for the Tech Industry! Tech giant Google has announced plans to launch an artificial intelligence (AI)-based chat software called Bard to take on Chat-GPT, which has become people's favorited in recent months. Bard will draw information from the data and sources already available on the internet. While Chat GPT’s knowledge is limited to the events till 2021, Bard will have access to the latest date and will be able to provide more fresh information. Bard, in addition to being integrated with Google's search engine, will have access to a multitude of data, giving it an edge over Chat GPT, which is backed by Microsoft. While Chat GPT is prone to providing some factual errors and making up stuff, Google’s Bard AI is believed to provide more accurate data to the users. Bard AI has an advantage over other AI platforms, such as Chat GPT, in terms of the depth and range of information it can access thanks to Google's enormous data collection. Bard will be able to distill difficult subjects into digestible, chitchat-worthy chunks. The goal is to spread knowledge more widely in a manner that is clear and can encourage learning in everyone, including kids. Whereas, Chat GPT creates content in response to the text prompt. Google LinkedIn #google #software #ai #tech #data #linkedin #learning #artificialintelligence #microsoft


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                Shashwat Ghosh

                @shashwatghosh

                Will AI take away your job? This a common question raised amongst friend circles, colleagues and in water cooler conversations. Generative AI space is super-hot space right now, and many folks are worried about the direction taken by this technology. Undoubtedly the old order of the corporate world will be disrupted (oh, I hate to use this word!). I want to share my thoughts on this topic and hope to help you structure a new way of thinking. >> Impact of AI on jobs will largely depend on how we approach and integrate these technologies into our work. >> Naysayers will argue that most jobs will be redundant or repetitive stuff will vanish. My question is that who will decide what is repetitive or redundant…its human beings like us...right? >> Broader point is if you consider AI as an ally who can assist and make you more productive and efficient, you will be a winner. >> Instead of replacing jobs, AI can automate repetitive tasks, freeing time for more strategic and creative work. This shift will require people to develop new skills and adapt to changing job roles. AI-powered applications and tools can be leveraged in numerous ways, including research, writing assistance, translation, summarization, SEO content creation, and more. Some recent developments in this space include: - Microsoft 365 Copilot – Tell me someone who has used it so far (not talking about watching their fancy product video). - Google Bard(Lamda version) – Opened for the waitlist in UK/ US…not available in India. - AI for Google Workspace – Similar to Microsoft's Copilot, but I'm yet to meet a person who has used it. For those without coding experience, user-friendly options like Poe and Bing AI can help you leverage AI in your daily tasks. Quick snapshots for both these options are given in the carousel. #TechWrapIndia #b2bmarketing #automation #futureofwork

                  Carousel - preview not available right now


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                  It was a HUGE week in generative AI: • Google Bard • Adobe Firefly • Bing Image Gen • Github Copilot X • ChatGPT plugins • Generative Canva • Roblox Generative • Nvidia DGX Power • Runway Text-to-video • Microsoft’s Notion killer Here’s what you need to know.


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                  Google Bard 1 : ChatGPT 0 Just had a chance to play with Google Bard and it's definitely a lot snappier (and scrappier) than OpenAI's ChatGPT. Bard - straight out of the gates and not taking any prisoners. ChatGPT - struggles to get's Bard's name right. What are your impressions so far? #google #openai #chatgpt #googlebard


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