May, 2023

article thumbnail

Chatbot Evolution: ChatGPT Vs. Rule-based

Analytics Vidhya

Introduction Chatbots have become an integral part of the digital landscape, revolutionizing the way businesses interact with their customers. From customer service to sales, virtual assistants to voice assistants, chatbot evolution has taken place in everyday lives and in the way companies communicate with their users. The technological capabilities of chatbots have improved over time, […] The post Chatbot Evolution: ChatGPT Vs.

Chatbots 393
article thumbnail

GPT-4 + Stable-Diffusion = ?: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

BAIR

TL;DR : Text Prompt -> LLM -> Intermediate Representation (such as an image layout) -> Stable Diffusion -> Image. Recent advancements in text-to-image generation with diffusion models have yielded remarkable results synthesizing highly realistic and diverse images. However, despite their impressive capabilities, diffusion models, such as Stable Diffusion , often struggle to accurately follow the prompts when spatial or common sense reasoning is required.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Full Story of Large Language Models and RLHF

AssemblyAI

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests. In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI

article thumbnail

Liquid Neural Networks: Definition, Applications, & Challenges

Unite.AI

A neural network (NN) is a machine learning algorithm that imitates the human brain's structure and operational capabilities to recognize patterns from training data. Through its network of interconnected artificial neurons that process and transmit information, neural networks can perform complex tasks such as Facial Recognition , Natural Language Understanding , and predictive analysis without human assistance.

article thumbnail

Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

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

article thumbnail

Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Journey to AI blog

We stand on the frontier of an AI revolution. Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But we’ve faced a paradoxical challenge: automation is labor intensive. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.

More Trending

article thumbnail

Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison

Analytics Vidhya

Introduction As artificial intelligence and machine learning continue to evolve at a rapid pace, we find ourselves in a world where chatbots are becoming increasingly commonplace. Google recently made headlines with the release of Bard, its language model for dialogue applications (LaMDA). It is said to be trained to have more natural and open-ended conversations […] The post Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison appeared first on Analytics Vidhya.

ChatGPT 382
article thumbnail

An early warning system for novel AI risks

DeepMind

AI researchers already use a range of evaluation benchmarks to identify unwanted behaviours in AI systems, such as AI systems making misleading statements, biased decisions, or repeating copyrighted content. Now, as the AI community builds and deploys increasingly powerful AI, we must expand the evaluation portfolio to include the possibility of extreme risks from general-purpose AI models that have strong skills in manipulation, deception, cyber-offense, or other dangerous capabilities.

AI 159
article thumbnail

Introduction to Generative AI

AssemblyAI

The term “Generative AI” has appeared as if out of thin air over the past few months. Looking at Google trends, we can see an aggressive growth in interest even just over the past 12 months. This interest can be attributed to the release of Generative models like DALL-E 2 , Imagen , and ChatGPT. But what does “Generative AI” actually mean?

article thumbnail

What are Large Language Models

Machine Learning Mastery

Last Updated on May 19, 2023 Large language models (LLMs) are recent advances in deep learning models to work on human languages. Some great use case of LLMs has been demonstrated. A large language model is a trained deep-learning model that understands and generates text in a human-like fashion. Behind the scene, it is a […] The post What are Large Language Models appeared first on MachineLearningMastery.com.

article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

article thumbnail

Make SAP ERP deployments future-ready with IBM Cloud

IBM Journey to AI blog

As we navigate an unstable economy, organizations across industries want to be “future-ready,” and that requires systems and processes that can continuously evolve in response to the marketplace demands. For customers who run their operations on SAP, this means modernizing to a cloud ERP platform that supports greater flexibility and agility.

340
340
article thumbnail

A Gentle Introduction to Prompt Engineering

Flipboard

ChatGPT is a service provided by OpenAI that is a conversational large language model. It is widespread, and it is found to be very useful. Behind the scene, it is a large language model. Unlike the other LLMs that generate continuing text from the leading sentence you provided, ChatGPT enables you to ask questions or provide […] The post A Gentle Introduction to Prompt Engineering appeared first on MachineLearningMastery.com.

article thumbnail

Geoffrey Hinton, Godfather of AI Leaves Google, Warns of Potential Dangers Ahead

Analytics Vidhya

Geoffrey Hinton, a pioneer in artificial intelligence (AI) referred to as “the Godfather of AI,” has left Google. He has joined a growing chorus of critics warning of the potential dangers of AI systems. In an interview last week, Dr. Hinton expressed concerns about the technology at the heart of chatbots like ChatGPT and warned […] The post Geoffrey Hinton, Godfather of AI Leaves Google, Warns of Potential Dangers Ahead appeared first on Analytics Vidhya.

article thumbnail

NVIDIA and Microsoft Drive Innovation for Windows PCs in New Era of Generative AI

NVIDIA

Generative AI — in the form of large language model (LLM) applications like ChatGPT, image generators such as Stable Diffusion and Adobe Firefly, and game rendering techniques like NVIDIA DLSS 3 Frame Generation — is rapidly ushering in a new era of computing for productivity, content creation, gaming and more. At the Microsoft Build developer conference, NVIDIA and Microsoft today showcased a suite of advancements in Windows 11 PCs and workstations with NVIDIA RTX GPUs to meet the demands of ge

article thumbnail

From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

article thumbnail

What LeMUR unlocks

AssemblyAI

Apply LLMs to multiple audio transcripts LeMUR enables users to get responses from LLMs on multiple audio files at once and transcripts up to 10 hours in duration, which effectively translates to a context window of ~150K tokens. Without LeMUR LeMUR Reliable & safe outputs Because LeMUR includes safety measures and content filters, it will provide users with responses from an LLM that are less likely to generate harmful or biased language.

LLM 317
article thumbnail

Mojo may be the biggest programming advance in decades

fast.ai

I remember the first time I used the v1.0 of Visual Basic. Back then, it was a program for DOS. Before it, writing programs was extremely complex and I’d never managed to make much progress beyond the most basic toy applications. But with VB, I drew a button on the screen, typed in a single line of code that I wanted to run when that button was clicked, and I had a complete application I could now run.

145
145
article thumbnail

Don’t pause AI development, prioritize ethics instead

IBM Journey to AI blog

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. Thanks to systems like ChatGPT, just about anyone can now use advanced AI models that are not only capable of detecting patterns, honing data, and making recommendations as earlier versions of AI would, but also moving beyond that to create new content, develop original chat responses, and more.

article thumbnail

AI Canon

Flipboard

Source: Midjourney Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re … The post AI Canon appeared first on Andreessen Horowitz.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

article thumbnail

How to Detect and Handle Deepfakes in the Age of AI?

Analytics Vidhya

Artificial intelligence (AI) has brought many advancements in creating media content nearly indistinguishable from that produced by humans. However, while this technology opens up new possibilities for creativity and innovation, it also poses a significant threat: deepfakes. AI can create manipulated images, videos, or audio files known as deepfakes that can be challenging to identify […] The post How to Detect and Handle Deepfakes in the Age of AI?

article thumbnail

Visualizing new ways to protect sharks with data and analytics

SAS Software

Where do hammerhead sharks go at night? And perhaps more importantly, why? Research Scientist and Professor Alex Hearn of the Galapagos Science Center hoped that a team of SAS analytics volunteers would be able to answer that by analyzing data he has collected over nearly two decades. The project is [.

145
145
article thumbnail

Introduction to Large Language Models for Generative AI

AssemblyAI

Generative AI has made great strides in the language domain. OpenAI’s ChatGPT can have context-relevant conversations, even helping with things like debugging code (or generating code from scratch). More recently, the Large Language Model GPT-4 has hit the scene and made ripples for its reported performance, reaching the 90th percentile of human test takers on the Uniform BAR Exam, which is an exam in the United States that is required to become a certified lawyer.

article thumbnail

Resolving code review comments with ML

Google Research AI blog

Posted by Alexander Frömmgen, Staff Software Engineer, and Lera Kharatyan, Senior Software Engineer, Core Systems & Experiences Code-change reviews are a critical part of the software development process at scale, taking a significant amount of the code authors’ and the code reviewers’ time. As part of this process, the reviewer inspects the proposed code and asks the author for code changes through comments written in natural language.

ML 140
article thumbnail

The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

article thumbnail

Connected products at the edge

IBM Journey to AI blog

There are many overlapping business usage scenarios involving both the disciplines of the Internet of Things (IoT) and edge computing. But there is one very practical and promising use case that has been commonly deployed without many people thinking about it: connected products. This use case involves devices and equipment embedded with sensors, software and connectivity that exchange data with other products, operators or environments in real-time.

DevOps 304
article thumbnail

Prompts to Try Asking ChatGPT

Flipboard

Welcome back to On Tech: A.I., a pop-up newsletter that teaches you about artificial intelligence, how it works and how to use it. A few months ago, my colleagues Cade Metz and Kevin Roose explained the inner workings of A.I.

ChatGPT 181
article thumbnail

OpenAI’s New Tool Explains Behavior of Language Model At Every Neuron Level

Analytics Vidhya

In recent news, OpenAI has been working on a groundbreaking tool to interpret an AI model’s behavior at every neuron level. Large language models (LLMs) such as OpenAI’s ChatGPT are often called black boxes. Even data scientists have trouble explaining why a model responds in a particular manner, leading to inventing facts out of nowhere. […] The post OpenAI’s New Tool Explains Behavior of Language Model At Every Neuron Level appeared first on Analytics Vidhya.

article thumbnail

ChatGPT: A Web Designer’s Perspective

Becoming Human

Photo by Rolf van Root on Unsplash As designers, we constantly seek new tools and resources to help create engaging and practical websites. We use a variety of references for our projects, from scouring design blogs and inspiration boards to doing research studies and using many other online resources. If you have been up to date with the latest news and trends, the term ‘ChatGPT’ and its success would have most likely reached your ears.

ChatGPT 138
article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

article thumbnail

How AI helps Marvin's users spend 60% less time analyzing research data

AssemblyAI

Companies need trained researchers to dig deep and understand customers’ biggest pain points in order to compete in today’s hypercompetitive markets. Thankfully, significant strides in AI research–like the research behind Stable Diffusion, modern Large Language Models, and Poisson Flow Generative Models–have now made AI a formidable co-pilot to help companies ask the right questions, make sense of patterns, and build better products.

article thumbnail

Against LLM maximalism

Explosion

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them? Companies have been using language technologies for many years now, often with mixed success.

LLM 135
article thumbnail

Preventive maintenance vs. predictive maintenance

IBM Journey to AI blog

Your maintenance strategy may not be the first thing that springs to mind when thinking about the bottom line. Yet, given that machinery, equipment and systems keep businesses running, maintenance strategies have a major role to play. Without due care and attention, things break—regardless of whether that’s a transformer in an electricity grid, an axle bearing on a train or a refrigerator in a restaurant.