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Auto-GPT & AgentGPT: The Groundbreaking AI Innovations You Need to Know

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Auto-GPT & AgentGPT: The Groundbreaking AI Innovations You Need to Know. Imagine living in a world where you have a personal AI assistant that not only understands your needs but is also capable of learning andโ€ฆ.


Google improves Bard to compete with ChatGPT: here's what's new

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Google has recently improved its AI chatbot, Bard, in an effort to rival its competitor, ChatGPT. The tech giant has optimized the AI responses in some areas and made improvements to the chatbot's abilities in mathematics and logic. The first feedback on Bard was not positive, with testers criticizing the many restrictions put in place by Google. In response, the company padlocked the experience to avoid abuses. To address the limitations of Bard, Google has pledged to make improvements to its artificial intelligence.



What is ChatGPT and Can It Do All My Marketing?

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What you would do next if you were planning to get AI to create that book entirely is to do more detailed outlines for each chapter and work through those to build the content. The thing about ChatGPT is that it's a conversation rather than individual tasks knotted together. The software should remember what you're working on and factor that in, though, as we shall see in a bit, it does sometimes go off the tracks which can be frustrating. Now that the genie is well and truly out of the bottle, everyone is into this in the tech world. Microsoft has put some 10 billion into resourcing ChatGPT and there's a pretty feral gold rush-style race going on for dominance. It's not going to stop here and this is only the beginning. Google initially said that they would penalise AI-generated content on their search engine but did practically a total about-face at the beginning of this year when they realised what was happening.


Data Scientist III - Meijer

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As a family company, we serve people and communities. When you work at Meijer, youโ€™re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family โ€“ take care of your career and your community! Meijer Rewards * Weekly pay * Scheduling flexibility * Paid parental leave * Paid education assistance * Care.com/back-up care assistance * Team member discount * Development programs for advancement and career growth Please review the job profile below and apply today! The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. **Position follows hybrid schedule: Monday-Wednesday in office, Thursday-Friday remote.** What You'll Be Doing * Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance * Partner with product development to define requirements which meet system and customer experience needs for data science projects * Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables * Deliver end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet partner needs * Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology * Drive adoption and usage of analytical products and models * Anticipate future business needs and identify opportunities that make substantial difference for organization, and lead the development of analytics initiatives * Responsible to define, document and follow best practices for ML/AI development at Meijer * Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products * Define and analyze Key Performance Indicators to monitor the overall health and measure value of the data products * Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy * Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact * This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required What You'll Bring With You * Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field * Certifications: Azure Data Science Associate, Azure AI, Safe Agile * 4+ years of relevant data science experience in an applied role โ€“ preferable w/in retail, logistics, supply chain or CPG * Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK * Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub * Experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models * Proactive and action oriented * Ability to collaborate with, and present to internal and external partners * Able to learn company systems, processes and tools, and identify opportunities to improve * Detail oriented and organized * Ability to meet production deadlines * Strong communications, interpersonal and organizational skills * Excellent written and verbal communication skills * Understanding of intellectual property rights, compliance and enforcement


Calls for stricter UK oversight of workplace AI amid fears for staff rights

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Campaigners, trade unions and MPs are calling for stricter oversight of the use of artificial intelligence in the workplace, amid growing concerns about its effect on staff rights. The Trades Union Congress (TUC) is holding a half-day conference on Tuesday to highlight the challenges of ensuring workers are treated fairly, as what it calls "management by algorithm" becomes increasingly prevalent. "Making work more rewarding, making it more satisfying, and crucially making it safer and fairer: these are all the possibilities that AI offers us," said Mary Towers, an employment lawyer who runs a TUC project on AI at work. "But what we're saying is, we're at a really important juncture, where the technology is developing so rapidly, and what we have to ask ourselves is, what direction do we want that to take, and how can we ensure that everyone's voice is heard?" The TUC has highlighted the growing use of employee surveillance. The Royal Mail chief executive, Simon Thompson, recently conceded some postal workers' movements were minutely tracked using handheld devices, with the data sused for performance management, for example.


How AI Is Reshaping India's Fintech Industry

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If you are on social media or a regular blog reader, there is no way you can avoid articles about artificial intelligence. It is everywhere, and everyone has something to say about it. Before we go any further, it is critical to understand that not every AI system is advanced enough to cause societal disruption. The reason is that there are different AI types, and the capability of a system will depend on the design type. Who would have thought an AI system created by a startup could challenge a tech giant like Google?


Building your own Object Detector from scratch with Tensorflow

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In this story, we talk about how to build a Deep Learning Object Detector from scratch using TensorFlow. Instead of using a predefined model, we will define each layer in the network and then we will train our model to detect both the object bound box and its class. Finally, we will evaluate the model using IoU metric. TL;DR: need the code right now? Check this colab notebook or this github repository Object Detection is a task concerned in automatically finding semantic objects in an image. Today Object Detectors like YOLO v4/v5 /v7 and v8 achieve state-of-art in terms of accuracy at impressive real time FPS rate.


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Before viewing the Azure Data Factory (ADF) Developer at Applab Systems Inc job, please verify that you are a human and not a robot overlord.


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Before viewing the Data Scientist / ML Engineer at Applab Systems Inc job, please verify that you are a human and not a robot overlord.