Vision AI does not only replicate human vision but can also go beyond that in offering highly accurate accounts of environmental features that are not readily visible to the human eye. However, while edge AI has been around for a while, enhancing edge capabilities with computer vision is still a novelty. Those who have ventured into improving production processes, safety, and quality with the help of vision AI, however, are already reaping the benefits.
When equipped with vision AI, industrial enterprises can take full control of their assets on the edge and build a truly collaborative foundation for a multitude of use cases. This will allow them to tackle the challenges of a dynamic setting that includes many unknowns.
Tage wrote about how to prevent ChatGPT from hallucinating a couple of months ago. However, I wanted to dive deeply into one specific thing you can do to completely avoid AI hallucinations. Before I explain how to avoid hallucinations, I need to explain a little bit about what we do when we create a custom ChatGPT chatbot.
What we do is prompt engineering based on an SQL database with VSS capabilities. It could be argued that we jailbreak ChatGPT, but instead of allowing ChatGPT to go completely berserk, we significantly restrict its capabilities to only be able to answer questions related to the data found in our SQL database. To understand the process, it helps to create your custom chatbot, something you can do below.
At Oktane 23, Okta’s annual flagship conference, CEO Todd McKinnon and other executives introduced one of the company’s most ambitious identity and access management (IAM) roadmaps to date during the keynote Go Beyond with AI and Identity.
With pressures in the macro environment, new waves of technology like AI, and an ever-changing threat landscape, organizations today are tasked with more challenges and opportunities than ever before. Okta aims to help companies tackle these demands and thrive amidst the complexities of tomorrow.
Graphs are more relevant and useful today than ever. Thanks to the AI revolution happening right now, engineers are thinking about the opportunities around Gen-AI, leveraging open Gen-AI solutions with dynamic prompting, data grounding, and masking which further pushes them to think about effective solutions like knowledge graphs.
Engineer, Mary is working on a data grounding problem and is considering building their Knowledge Graphfor an AI solution for personalized product recommendations at work, and starts to wonder about
The battle between human users and sneaky bots is a constant struggle in the ever-evolving cybersecurity landscape. And the conventional defense mechanisms, including CAPTCHAs, have been a reliable shield for a long.
However, with the sophistication of cyberattacks and bots becoming smarter, the conventional shield needs a big upgrade since it no longer has the potential to safeguard against modern threat vectors.
In the last few years, cutting-edge technologies and services have drastically changed their directions, dynamics, and use cases. It is quite evident that the recent wave of global technology adoption by industries is overwhelmed by Artificial Intelligence (AI) and its various flavors. AI is becoming increasingly woven into the fabric of our everyday lives, changing the way we live and work. This article discusses the basics of AI/ML, its usage, the evolution of Generative AI, Prompt Engineering, and LangChain.
What Are AI and ML?
AI is the capability of simulating human intelligence and thought processes such as learning and problem-solving. It can perform complex tasks that historically could only be done by humans. Through AI, a non-human system uses mathematical and logical approaches to simulate the reasoning that people use for learning new information and making decisions.
Given the impact GenAI has had, it's been odd to see how unwelcome discussions about GenAI are here and other places.
Then again, it is an existential threat to new and old programmers that don't add these new tools to their repertoire or skill set.
Also, AI/ML has created no end of angst in Hollywood. Last month a company that makes audiobooks reduced its workforce because the AI tool to make audiobooks costs 20USD a month. Everyday voice actors at this point are going to have a rough time going forward except for the big names.
I have stories about the use of AI/ML/GenAI in the circles I run. All use has resulted in higher productivity. Which is good for the company, not so much everyone else.
No company is immune to transformation, not even one with as storied a history as IBM.
This week on Dev Interrupted, Rosalind Radcliffe, the CIO DevSecOps CTO at IBM, joins us to chat about how one of tech's greatest legacy companies is positioning itself for the future.
Telecoms fraud is a prevalent and ever-evolving issue that affects both business and individual customers in the telecommunications industry. It encompasses a range of fraudulent and abusive activities that can cause significant financial damage to companies and individuals alike. Ranging from well-established methods, including PBX hacking and SIMBox bypass, to newly evolving threats, such as flash calls and mobile money fraud, the tactics used by cybercriminals and fraudsters are constantly changing.
Telecoms fraud is booming and costs the world $32.7 billion each year, per a joint report issued by Europol and Trend Micro. The consequences of telecoms fraud can be severe, resulting in not only financial damage but also damage to the brand reputation of telecoms companies. With the increasing use of artificial intelligence (AI) in fraud protection strategies, we set out to explore the impact of this technology on the fight against telecoms fraud.
In recent years, the topic of AI democratization has gained a lot of attention. But what does it really mean, and why is it important? And most importantly, how can we make sure that the democratization of AI is safe and responsible? In this article, we'll explore the concept of AI democratization, how it has evolved, and why it's crucial to closely monitor and manage its use to ensure that it is safe and responsible.
What AI Democratization Used to Be
In the past, AI democratization was primarily associated with "Auto ML" companies and tools. These promised to allow anyone, regardless of their technical knowledge, to build their own AI models. While this may have seemed like a democratization of AI, the reality was that these tools often resulted in mediocre results at best. Most companies realized that to truly derive value from AI, they needed teams of knowledgeable professionals who understood how to build and optimize models.
In today’s article we’ve rounded up ten of the best tools and websites to generate a color palette for your web design project. With some of these tools you can use a photo or image to generate your palette. Some use artificial intelligence. And some are completely unique, with communities that you can check out other designers’ submitted palettes as well as share your own. Let’s check them out!
Your Web Designer Toolbox Unlimited Downloads: 500,000+ Web Templates, Icon Sets, Themes & Design Assets
Create the perfect palette or get inspired by thousands of beautiful color schemes, available in the browser, iOS app, Adobe extension, and Chrome extension.
Whether you’re a professional designer, a starting artist or just a curious beginner in the world of art and design, Paletton is here to help you with all your color palette needs. You don’t need to know the ins and outs of color theory in order to use Paletton’s unique and easy color wheel. All you need to do is choose the basic color you are interested in exploring, and get inspired.
Colormind is a color scheme generator that uses deep learning AI. It can learn color styles from photographs, movies, and popular art. Different datasets are loaded each day.
With Adobe Color, you have access to the powerful harmonization engines for creating beautiful color themes to use in Adobe products. Start your color journey by exploring themes from the Color community. Be inspired by other creatives in curated Trend Galleries from Behance and Adobe Stock. Import photos and images to generate cohesive color palettes from your artwork.
Want a color scheme that perfectly matches your favorite images? With Canva’s color palette generator, you can create color combinations in seconds. Simply upload a photo, and they’ll use the hues in the photo to create your palette.
COLOURlovers is a creative community where people from around the world create and share colors, palettes and patterns, discuss the latest trends and explore colorful articles… All in the spirit of love.
The Allen Institute for AI has introduced the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a free, open-source database that includes 45,000 scholarly articles about COVID-19 and the coronavirus family of viruses. The goal is to streamline access to this pertinent set of resources to the research community around the world.
