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Google has big hopes for AI, as evidenced by the consistent improvements to its Gemini chatbot in recent months. Google briefly introduced its vision for a “universal AI agent” aimed to help users with daily tasks at the I/O developer conference in May, hinting that elements of the technology could be incorporated into Gemini soon. Recent insights from The Information have shed more light on its initiative, known internally as Project Jarvis.
As AI-enabled threats proliferate, organizations must master how to prevent and defend against these types of attacks. One popular approach that is generating buzz is to use AI to defend against other, malicious AI. This is, however, only partly effective. AI can be used as a defensive shield, but only if employees have the knowledge to properly use it.
Recently, there’s been a surge of tools claiming to detect AI-generated content with impressive accuracy. But can they really do what they promise? Let’s find out! A recent tweet by Christopher Penn exposes a major flaw: an AI detector confidently declared that the US Declaration of Independence was 97% AI-generated. Yes, a document written over 240 […] The post Does the Rise of AI-generated Content Affect Model Training?
Artem Rodichev is the Founder and CEO of Ex-human , a company focused on building empathetic AI characters for engaging conversations. Before founding Ex-human, Artem was the Head of AI at Replika from 2017 to 2021, where he led the development one of the most popular English-speaking chatbots, growing its user base to 10 million in the U.S. You spent several years as Head of AI at Replika, building one of the most popular conversational AIs.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
By Adam Fourney, Principal Researcher; Gagan Bansal, Senior Researcher; Hussein Mozannar, Senior Researcher; Victor Dibia, Principal Research Software Engineer; Saleema Amershi, Partner Research Manager Contributors: Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric) Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor […]
Last Updated on November 4, 2024 by Editorial Team Author(s): David Sweenor Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. The bridge to responsible innovation must be robust. Photo by author David E. Sweenor As artificial intelligence (AI) becomes ubiquitous, it’s reshaping decision-making in ways that go far beyond the scope of traditional business automation.
Last Updated on November 4, 2024 by Editorial Team Author(s): David Sweenor Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. The bridge to responsible innovation must be robust. Photo by author David E. Sweenor As artificial intelligence (AI) becomes ubiquitous, it’s reshaping decision-making in ways that go far beyond the scope of traditional business automation.
In my latest conversation with ChatGPT, I caught myself saying "please" and "thank you." My wife, overhearing this, couldn't help but laugh at my politeness toward a machine. Had I gone too far in humanizing AI, or was I onto something more profound?
Last Updated on November 4, 2024 by Editorial Team Author(s): Myra Roldan Originally published on Towards AI. Anthropic Claude Computer Use Anthropic’s latest update to their AI models, Claude 3.5 Sonnet and Claude 3.5 Haiku, has introduced a new feature called “computer use.” An interesting choice of name for the service and a bit confusing on how that may work.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Dive deep into your favorite topics without spending anything. TL;DR: A wide range of online courses from Harvard University are available for free on edX.
“A good recruiter can spot an AI-written application from a mile away." With the rise of AI-powered writing assistants, typing up your job application can be quicker than ever.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
As AI abounds, is it time to say goodbye to the role of the SEO marketer? Not quite, says Louis Evans of Tug: professionals able to adapt and innovate will remain in demand – and prosper.
Natural language generation (NLG) is an enthralling area of artificial intelligence (AI) , or more specifically of natural language processing (NLP) , aimed at enabling machines to produce human-like text that drives human-machine communication for problem-solving.
Assessing the risk of postoperative cardiovascular events before performing non-cardiac surgery is clinically important. The current risk score systems for preoperative evaluation may not adequately represent a small subset of high-risk populations. Accordingly, this study aimed at applying iterative random forest to analyze combinations of factors that could potentially be clinically valuable in identifying these high-risk populations.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
AI can already write convincing texts or recognize when machines need maintenance. But could artificial intelligence also one day improve weather forecasts, offer psychotherapy and pursue research into historical topics? It’s already happening.
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.
Evaluating NLP models has become increasingly complex due to issues like benchmark saturation, data contamination, and the variability in test quality. As interest in language generation grows, standard model benchmarking faces challenges from rapidly saturated evaluation datasets, where top models reach near-human performance levels. Creating new, high-quality datasets is resource-intensive, demanding human annotation, data cleaning, and validation.
Author(s): Serj Smorodinsky Originally published on Towards AI. Data science perspective This member-only story is on us. Upgrade to access all of Medium. This is my take, you don’t have to take it If you think that a picture is worth 1000 words, then a video should be worth like a 100,000? Anyhow, you can watch me go over all of the sections live on my channel.
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 and ethics risks before they become problems.
I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. They cover a wide range of different topics, authors and venues. These are not meant to be reviews showing my subjective opinion, but instead I aim to provide a blunt and concise overview of the core contribution of each publication.
In the fast-paced digital age, AI assistants have become essential tools for enhancing productivity, managing workflows, and providing personalized support in our everyday lives. From voice-activated home devices to advanced chatbots, these AI assistants are designed to simplify tasks, answer questions, and help users stay organized, efficient, and informed.
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