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Google has replaced 1000’s of its employees with AI. Meta reportedly laid off 60 technical program managers at Instagram Discord is laying off 17 percent of employees. You NEED to stay ahead and upskill yourself in the field of artificial intelligence. Here are some free online course that will help : ChatGPT Basics Playlist : https://lnkd.in/d7n2Pp2d Midjourney Basics Playlist : MidJourney AI Art Tutorials and Videos Introduction to AI for Business : https://lnkd.in/d-PjdWCV Artificial Intelligence: Preparing Your Career for AI : https://lnkd.in/d_mGCsPk OpenAI GPT course : https://lnkd.in/dumxSfp6 Continuous learning and skill development are crucial for you to stay competitive in the job market. 💡 Found this post useful? recycle RESHARE the post so that more people get to know this 👉 Follow Uttam Gupta for more! #TheGrowthGuy #jobs #ai #freecourses #layoffs


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    How best can we support teachers in their adoption of Generative AI? This is a question I'll try to answer at tomorrow's Stanford's AI + Education Summit. Here's my answer based on the work we have done training teachers on GenAI over the past 6 months.   First, the reality is that even a year after the launch of ChatGPT we are still very much in the early stages of adoption.   • Per a recent EdWeek survey, 2/3rds of teachers have NEVER used AI in their classroom and only 2% have used it “a lot.”   Second, the current perceptions of GenAI run the gamut.     • Fear and uncertainty are common with nearly 50% of teachers saying they’re uncomfortable with GenAI.     • Cheating (72%) and the potential negative impact to learning (60%) are prevalent fears     • But there is also enthusiasm about GenAI’s potential - half said they were “excited or optimistic” about the potential of these tools.    We see all of this in every workshop we have run regardless of audience. By the end of our sessions, we often see that the same educators who are concerned about AI’s downsides are the same ones who light up when they see the tools in action.   So what’s the best path forward for responsible adoption?   At AI for Education Education, our focus is on building capacity and finding value, not becoming experts.   Here are our 5 top strategies:w   1. Comprehensive AI Literacy Training:    Educating the entire school community is vital for understanding AI's wide-reaching impacts and potential, fostering future readiness, enhancing learning, and enabling the informed decision-making that will help guide the future of AI.   2. Job-Embedded GenAI Applications    Focus on integrating AI directly into educators' daily tasks and responsibilities, showcasing practical uses of AI in educational settings that drive productivity and quality of instruction.   3. Strong Guidance on Responsible Use   We stress the need for clear guidelines on the appropriate use of GenAI by students and teachers, ensuring that AI tools are used in a manner that augments a user's ability and is deployed in an ethical manner is key.   4. Safe/Reliable GenAI Tools for Students   We must develop and implement student-focused GenAI tools that are both safe and reliable, fostering a secure learning environment.   5. Dedicated Resources for Innovation    We advocate for dedicated resources to support experimentation and innovation, encouraging continuous development and improvement of GenAI tools and methods in education.   Of course, none of this can be done without a strong change management strategy and dedicated budgets - but with these keys we believe it's possible to support teachers adoption of GenAI. For the link to the study: https://lnkd.in/eHz6883G #aiforeducation #aieducation #teachingwithAI #GenAI #responsibleAI


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      Macros are live on the Flutter master channel. This will replace also freezed, json_serializable and other code generations packages. It will take care of boiler plate code. See from 50 lines of code to 1 line of code. PS: I'm loving freezed #flutter #dart


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        Major AI Developments in January 2024 Here's everything you need to know: Jan 1st week: - Baidu chatbot passes 100M users - Stanford introduces Mobile ALOHA - GitHub's Al chatbot is now for all coders - Google and MIT Researchers introduce Synclr - Copilot is made available on iOS and Android - Nvidia CEO Net worth surpasses Warren Buffett - Developed 'life2vec' that can predict when you will die Jan 2nd week: - OpenAl's GPT store was live - Pika Labs announced Expand Canvas. - Microsoft's upcoming Al feature in Notepad - Intel spins off enterprise AI company Articul8 - Getty Images and Nvidia launch Generative Al by iStock Jan 3rd week: - Meta launches MAGNET - Microsoft launched "Copilot Pro" - Stability Al Launches Stable Code 3B - Altman says human-level AI is coming - Adobe Premiere Pro gets new Al updates - Amazon brings image generator to Fire TV - Intel spins off enterprise AI company Articul8 - RunwayML introduced the Multi-Motion Brush - Avi Schiffmann is making an AI-powered ‘Wearable Mom’ Jan 4th week: - Google introduced Lumiere - Microsoft's worth hits $3 Trillion - Adobe introduces ActAnywhere  - Meta has started training Llama 3 - OpenAl gets new upgrades to its GPT models. - Google introduces Gemini Al model in Search ads - MIT and Google Researchers propose Health-LLM - Humanoid robots to enter the workforce at BMW - Zuck plans to develop and build open-source AGI. - The Galaxy S24 series arrives with a huge focus on AI. - Google announced Al-powered features for education Jan 5th week: - Cornell researchers unveil MambaByte - Shopify to add an AI-Powered Media Editor - OpenAI shipped a new ‘GPT mentions’ feature - iOS 17.4 beta has signs of an AI-improved Siri - Alibaba Cloud introduces serverless AI solution - Oracle embeds GenAI across the Technology stack - Google's Bard surpasses GPT-4 in the leaderboard - AI Voice Generator Market to Reach US$4398M by 2028 --- P.S. Did you enjoy this post? Feel free to repost it for your audience ♻️ And follow Sachin B #linkedin #chatgpt #ai #artificialintelligence #trends


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          Profile picture of Jérémy Grandillon

          Jérémy Grandillon

          @jeremygrandillon

          If you're like me, you love a good video, even more so when it's about AI! But with so much content out there, how do you ensure you're getting the best? I've done the legwork for you, handpicking 7 YouTube channels to stay on the edge of AI 👇 (No. 5 is my fav, what's yours? 🤓)

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            193

            Has the world of AI sparked your curiosity yet? As we continuously step into the future, technology's pivotal role goes unquestioned. At the centre of this intriguing journey lies Artificial Intelligence: a topic of debate, admiration, and apprehension. AI is no longer just a figment of sci-fi movies; it is shaping our reality in incredible ways - from autonomous cars to personalised online shopping experiences; it has successfully ushered in a new era of convenience. In the realm of business strategy and innovation, AI is proving to be an indispensable tool. It's driving predictive analytics, automating operations and even crafting more personalised customer experiences. Companies failing to recognise and implement AI are likely to lag. But this doesn't imply that the human element will be completely replaced. In fact, it's about creating a harmonious blend of human intellect and AI capabilities. The question is, how ready are we for this transformative phase? Concluding thoughts? Embrace change; adapt to AI! 🤖


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              AI competition is weird. But this goes deeper than "Which LLM is best??" or companies on the left trying back the winning horse. Behind the scenes is a cloud war and a chip war - that's where the money is. Let’s take a look: ++++++++++++++++++++++++++++++ 1. This is a cloud war. Let’s take Anthropic, for example. They’re committing to use AWS as its primary cloud provider. That could translate into billions in revenue for AWS as Anthropic scales up. By investing in Anthropic and its large language model Claude, Amazon is positioning itself to reap the benefits of the growing AI market. As Claude gains popularity and drives more businesses to adopt AI solutions, it funnels money back to Amazon through increased usage of AWS services. This strategic investment not only strengthens Amazon's position in the AI space but also creates a virtuous cycle of growth for its cloud business. Guys - everyone is doing this. Investing huge amounts and getting it back in cloud services. That should command our attention. The war between MS Azure, Google Cloud and AWS is worth billions and it’s only going to get bigger. ++++++++++++++++++++++++++++++ 2. This is a chip war. Chips are everything - they’re the engines. And up till now Nvidia has ruled the world. But let’s just look at the last few weeks: Nvidia: The company announced the H200 GPU on November 13. This new chip is designed for AI work and upgrades the H100 with 1.4x more memory bandwidth and 1.8x more memory capacity. The first H200 chips are expected to be released in the 2nd quarter of 2024. Microsoft: Microsoft unveiled the Maia 100 artificial intelligence chip on November 15. The chip is designed for AI tasks and generative AI. The company hasn’t provided a specific timeline for the release of the Maia 100, but it is expected to arrive in early 2024 Amazon: Amazon Web Services (AWS) announced the next generation of two AWS-designed chip families—AWS Graviton4 and AWS Trainium2—on November 28. These chips are designed for a broad range of customer workloads, including ML and AI applications - that was at their big show in Vegas. And Google has jumped in to this race as well. So what's happening in this graphic? These investments are hedges. They're land grabs for cloud services They're trying to get their chips to be the dominant chips. Gonna be an interesting year ahead.


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                New: introducing Panda, performance debugging for databases using LLM agents. Super interesting & a best practice case study for building autonomous agents. Traditional performance debugging in databases is challenging and often yields vague or generic solutions. At Amazon, we've been working on a new framework, Panda, which aims to enhance pre-trained LLMs for more effective database troubleshooting. It's a cool project, and even if you're not into performance optimization and debugging of databases, it's a great case study of how to build autonomous agents with AI. Panda incorporates four main components: Grounding, Verification, Affordance, and Feedback. These components work together to provide actionable, accurate recommendations tailored to specific database systems. The four main components of Panda are designed to enhance database performance debugging: 🌳 Grounding: This involves contextualizing the problem within the specific database environment, considering unique factors and settings. ✅ Verification: This step focuses on ensuring the accuracy and relevance of the proposed solutions. 🦾 Affordance: This component is about identifying feasible actions that can be taken in the specific database context. ♻️ Feedback: This involves analyzing the effectiveness of implemented solutions and adjusting strategies accordingly. Each component contributes to a comprehensive and tailored approach to database performance debugging. For a more details, you can visit the publication linked below.


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                  56 AI tools for business productivity: + Content Gen & Writing + Image Gen & Editing + Video Gen & Editing + Design & Visuals 📌 Comment "send" to get PDF copy of guide 🔄 REPOST to help others use AI tools 👉 Follow me Andrew Bolis for AI tips #ai #marketing #sales #business #productivity

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                    New short course on Building Applications with Vector Databases, taught by Pinecone's board member Tim Tully! At the heart of a vector database is the ability to store a collection of vectors and then query against that, meaning input a new vector and find similar ones. This is useful for many AI applications. In this course, you'll learn how to use vector databases to build: (i) Semantic Search: Create a text search tool that goes beyond keyword matching, and instead focuses on the meaning of content.  (ii) RAG (retrieval augmented generation): Enhance your LLM output by incorporating context from sources the model wasn't trained on. (iii) Recommender System: Combine semantic search and RAG to recommend topics, and demonstrate it with a news article recommender. (iv) Hybrid Search: Build an application that finds items using both images and descriptive text -- by combining both sparse and dense vector representations of the data -- using an eCommerce dataset as an example. (v) Image Similarity: Use image vector embeddings to create an app to compare facial features, using a database of public figures to determine the likeness between them. (vi) Anomaly Detection: Build an anomaly detection app that identifies unusual patterns in network communication logs. I hope you’ll enjoy learning how to build all of these types of applications! Please sign up here: https://lnkd.in/gwy52pbG


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                    Michele Russo

                    @russom

                    This is the best way to create your AI clone. Step 1. No install needed. Just the internet. 🗹 Search “Synthesia” on Google. 🗹 Create an account & go to “Avatars”. 🗹 Click on “Create avatar" before step 2. Step 2. Record yourself. 🗹 You record 3 different videos. 🗹 You say exactly what they ask you to. 🗹 Look at the camera as much as possible. Step 3. Upload it on Synthesia. 🗹 Upload the 3 videos. 🗹 Give your avatar a name. 🗹 Record a video consent of yourself. Step 4. Explore Synthesia. 🗹 Make your avatar say whatever. 🗹 120+ languages supported by Synthesia. 🗹 150+ other AI avatars are available. Final step. Watch me doing it live. You're still confused about the process. So I made a private video about the "how". You want to receive it. So follow these steps: 1. Comment "avatar". 2. Repost this post (without any text). 3. Send me a message so I can send you the link.


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                    The worst thing about AI technology? It's going to: • Eliminate jobs • Create confusion • Cause misinformation • Elevate our bullsh*t detectors • Increase the amount of crap content The best thing about AI technology? It's going to: • Create new markets • Change peoples' lives • Give way for authenticity • Automate time-consuming tasks • Enhance one-person business models • Increase the speed of ideas → execution And so much more. My recommendation? Become so good at: 🤝 Selling that people can't resist you ✍️ Writing that people can't ignore you 🧠 Thinking that people can't control you 🪄 Adapting that people can't predict you That you become a full-stack human in 2024 👽 --- 📌 P.S. I helped a student gain 6.9M+ views & 4.3k followers (In just 30 days starting damn-near from scratch) And now I'm sharing the exact system we used Get it here: jonbrosio.com/mastercourse


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                      We use the last AI to scan Twitter and look for the best and highest quality tweets about many topics. The same AI powers Tweet Hunter which helps thousands creators build a Twitter audience to grow their business faster.


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