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Introducing FreedomGPT: The Unfiltered AI Powerhouse Freedom GPT is a groundbreaking open-source AI technology developed by Age of AI, an Austin-based AI venture capital firm. This state-of-the-art chatbot is programmed to recognize and prioritize ethical considerations without any censorship filter, unlike ChatGPT, which comes with censorship compliance and certain safety rules that prevent it from […] The post FreedomGPT: Personal, Bold and Uncensored Chatbot Running Locally on Your PC a
The move towards monitoring HR tools and applications for bias is gaining traction worldwide, driven by various global and domestic data privacy laws and the US Equal Employment Opportunity Commission (EEOC). In line with this trend, the New York City Council has enacted new regulations requiring organizations to conduct yearly bias audits on automated employment decision-making tools used by HR departments.
AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.
As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines. Microsoft Research Asia has taken this technology a step further by introducing VisualGPT. This AI model incorporates Visual […] The post Microsoft Releases VisualGPT: Combines Language and Visuals appeared first on Analytics Vidhya.
After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Building ML infrastructure and integrating ML models with the larger business are major bottlenecks to AI adoption [1,2,3].
After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Building ML infrastructure and integrating ML models with the larger business are major bottlenecks to AI adoption [1,2,3].
Example of embodied commonsense reasoning. A robot proactively identifies a remote on the floor and knows it is out of place without instruction. Then, the robot figures out where to place it in the scene and manipulates it there. For robots to operate effectively in the world, they should be more than explicit step-by-step instruction followers. Robots should take actions in situations when there is a clear violation of the normal circumstances and be able to infer relevant context from partial
Autonomous agents may mark an important step toward a world where AI-driven systems are smart enough to work on their own, without need of human involvement.
Introduction Are you a data scientist looking for an exciting and informative read? Look no further, because I’ve got a treat for you! My latest blog post is jam-packed with fun and innovative experiments that I conducted with ChatGPT over the weekend. In this experiment, I put ChatGPT to the test and challenged it to […] The post How to Use ChatGPT as a Data Scientist?
A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions. A well-designed data foundation can also be a game-changer when it comes to managing ESG (environmental, social, and governance) commitments.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.
Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).
In enterprise security, speed is everything. The quicker an analyst can pinpoint legitimate threat signals, the faster they can identify whether there’s a breach, and how to respond.
Artificial General Intelligence: Unlocking Unprecedented Wisdom and Insight In an eye-opening interview, Ilya Sutskever, Co-founder and Chief Data Scientist at OpenAI, unveiled the untapped potential of Artificial General Intelligence (AGI). Sutskever touched upon key aspects of AGI, including token prediction, reinforcement learning, multistep reasoning, and the pursuit of meaning.
At IBM, we strive each day to achieve our purpose; to be the catalyst that helps makes the world work better. We endeavor to be at the forefront of groundbreaking changes in the industries we serve and the global community at large. None of this would be possible without skilled and talented IBMers. Businesses should make equity in the workplace a priority.
Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.
At AI Impacts, we’ve been looking into how people, institutions, and society approach novel, powerful technologies. One part of this is our technological temptations project , in which we are looking into cases where some actors had a strong incentive to develop or deploy a technology, but chose not to or showed hesitation or caution in their approach.
How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.
Introduction More businesses are moving online these days, and consumers are ordering online instead of traveling to the store to buy. Zomato and Swiggy are popular online platforms for ordering food products. Other examples are Uber Eats, Food Panda, and Deliveroo, which also have similar services. They provide food delivery options. If the order is […] The post Food Delivery Time Prediction with LSTM Neural Network appeared first on Analytics Vidhya.
Organizations are increasingly seeking more choice and flexibility as they modernize their mission-critical workloads. But each organization is at a different point and has different goals when transforming their businesses and modernizing their SAP environments. Some organizations are looking to improve business operations by moving from legacy ERP to SAP S/4HANA®, SAP’s next-generation ERP software, while others want to replace manual processes with AI and automation.
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
Remote interviews are the new normal, with over 60% of HR professionals now using video during the recruitment process. Many companies are turning to hiring intelligence platforms like Screenloop to help manage this virtual interview process at scale. Hiring intelligence platforms offer a variety of tools that help HR and management teams promote easy collaboration, facilitate candidate skill and job matching, summarize key sections of interviews, surface searchable insights, and reduce hiring b
The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.
The past three months have been transformative for the IBM Ecosystem. Our investment in the ecosystem is deeper than ever before, and momentum is accelerating across all partner types as they continue to scale and innovate. This demonstrates their commitment to clients, deep expertise and hunger to collaborate and co-create with us. Thanks to each of our partners and the many IBMers working alongside them, we’ve accomplished some incredible things.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Today, Databricks sets a new standard for ETL (Extract, Transform, Load) price and performance. While customers have been using Databricks for their ETL.
Introduction In recent years, deploying Containers has become a common trend in many companies. Applications are built, then turned into Images, and these Containers are run in the cloud to be visible to everyone. Containerization provides isolation of the application from the operating system. And a Containerized application can run anywhere in different operating systems […] The post Cloud Run as a Serverless Platform to Deploy Containers appeared first on Analytics Vidhya.
The world of business demands the right decisions to succeed. For Al Rabie —a prominent juice manufacturing company in the Middle East—their reality was no different. However, their manual planning and budgeting process in spreadsheets posed several challenges, including lack of control, delayed data, poor execution, and the need for continuous follow-up with IT for actual data.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.
A journal article listed the mean, median, and size for subgroups of the data, but did not report the overall mean or median. A SAS programmer wondered what, if any, inferences could be made about the overall mean and median for the data. The answer is that you can calculate [.] The post Means and medians of subgroups appeared first on SAS Blogs.
Amazon is throwing its hat into the generative AI ring. But rather than build AI models entirely by itself, it’s recruiting third parties to host models on AWS.
Indian Government Set to Revolutionize Taxation Using Data Analytics The evolution of technology has proven to be beneficial for the finance industry. Predicting the future using Artificial Intelligence (AI), data analytics, and machine learning (ML). The Government of India is thus utilizing this technology in a complex process like taxation to make tax filing more […] The post Revolutionizing Taxation: How India Uses AI & ML to Improve the Tax Process appeared first on Analytics Vi
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