May, 2023

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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.

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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.

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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.

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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.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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?

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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.

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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.

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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 [.

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IBM Consulting unveils Center of Excellence for generative AI

IBM Journey to AI blog

IBM Consulting has established a Center of Excellence for generative AI. It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like H

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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.

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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.

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How OpenAI Lost Half a Billion Dollars Due to ChatGPT?

Analytics Vidhya

Following claims of massive losses sustained in building their most recent product, ChatGPT, OpenAI, the AI research firm co-founded by tech titans like Elon Musk and Sam Altman, is making headlines. According to a recent story by The Information, the development of this technology apparently came at a high cost, with losses almost doubling to […] The post How OpenAI Lost Half a Billion Dollars Due to ChatGPT?

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What Are Zero-Shot Prompting and Few-Shot Prompting

Machine Learning Mastery

In the literature on language models, you will often encounter the terms “zero-shot prompting” and “few-shot prompting.” It is important to understand how a large language model generates an output. In this post, you will learn: What is zero-shot and few-shot prompting? How to experiment with them in GPT4All Let’s get started.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Larger language models do in-context learning differently

Google Research AI blog

Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research There have recently been tremendous advances in language models, partly because they can perform tasks with strong performance via in-context learning (ICL), a process whereby models are prompted with a few examples of input-label pairs before performing the task on an unseen evaluation example.

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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.

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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.

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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.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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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.

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Is Avoiding Extinction from AI Really an Urgent Priority?

fast.ai

This article is the result of a collaboration between philosopher Seth Lazar , AI impacts researcher Arvind Narayanan , and fast.ai’s Jeremy Howard. At fast.ai we believe that planning for our future with AI is a complex topic and requires bringing together cross-disciplinary expertise.

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Activation Functions in PyTorch

Machine Learning Mastery

Last Updated on May 3, 2023 As neural networks become increasingly popular in the field of machine learning, it is important to understand the role that activation functions play in their implementation. In this article, you’ll explore the concept of activation functions that are applied to the output of each neuron in a neural network […] The post Activation Functions in PyTorch appeared first on MachineLearningMastery.com.

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Accelerate your speed of business with IBM Event Automation

IBM Journey to AI blog

Customer needs and market dynamics are constantly shifting from one moment to the next. There are thousands of business events flowing through every part of your organization every day. These events can provide a wealth of information about what’s actually happening across your business at any moment in time. Organizations that can capitalize on this continual stream of business intelligence can spot trends, issues and opportunities, address threats, and act quickly.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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3 facts about cloud economics that could help your organization

SAS Software

The shift to cloud computing has dramatically transformed how organizations and businesses store, manage and analyze their data. The benefits of this shift are well-known: Moving to the cloud increases the potential to gain more value their data through faster access, greater scalability and cost-efficiency. All plain sailing, right? Not [.

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Just Calm Down About GPT-4 Already

Flipboard

Rapid and pivotal advances in technology have a way of unsettling people, because they can reverberate mercilessly, sometimes, through business, employment, and cultural spheres. And so it is with the current shock and awe over large language models, such as GPT-4 from OpenAI. It’s a textbook example of the mixture of amazement and, especially, anxiety that often accompanies a tech triumph.

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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?

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Using reinforcement learning for dynamic planning in open-ended conversations

Google Research AI blog

Posted by Deborah Cohen, Staff Research Scientist, and Craig Boutilier, Principal Scientist, Google Research As virtual assistants become ubiquitous, users increasingly interact with them to learn about new topics or obtain recommendations and expect them to deliver capabilities beyond narrow dialogues of one or two turns. Dynamic planning, namely the capability to look ahead and replan based on the flow of the conversation, is an essential ingredient for the making of engaging conversations wit

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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NVIDIA CEO Tells NTU Grads to Run, Not Walk — But Be Prepared to Stumble

NVIDIA

“You are running for food, or you are running from becoming food. And often times, you can’t tell which. Either way, run.” NVIDIA founder and CEO Jensen Huang today urged graduates of National Taiwan University to run hard to seize the unprecedented opportunities that AI will present, but embrace the inevitable failures along the way. Whatever you pursue, he told the 10,000 graduates of the island’s premier university, do it with passion and conviction — and stay humble enough to learn the hard

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‘It’s a New Era for Legal Tech’ – Generative AI + The Law

Artificial Lawyer

Law professor and legal AI expert, Dan Katz, talks to Artificial Lawyer about generative AI and the legal sector. The second and longer version of.

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Welcoming bit.io to Databricks: Investing in the Developer Experience

databricks

We are excited to announce that bit.io is joining Databricks. At Databricks, we’ve always been focused on empowering organizations to solve their toughest p.

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