Unite.AI

JUNE 6, 2023

Real-Time Insights Traditional NLP models are trained on large but limited data since they cannot access the web to fetch the latest data. It can help authors, screenwriters, copywriters, and marketers in creating plots, writing character dialogues, fresh ad copies, and blogs. 3 Major Benefits of AutoGPT & How It Supercharges NLP?

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IBM Journey to AI blog

FEBRUARY 14, 2024

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.

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Unite.AI

APRIL 2, 2024

This blog post dives into the exciting future of presentations, exploring how AI is empowering speakers to create impactful and engaging experiences for their audiences. Also, its knowledge is limited to the most recent data it's been trained on. How AI Helps Users in Public Speaking 1.

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IBM Journey to AI blog

JANUARY 18, 2024

The latest artificial intelligence (AI) chatbots , also known as intelligent virtual assistants or virtual agents, not only understand natural conversations thanks to advanced language models but also proactively automate various tasks using conversational AI technology. ” The advantages of chatbots surround us.

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IBM Journey to AI blog

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. For example, natural language understanding (NLU) focuses on comprehension, enabling systems to grasp the context, sentiment and intent behind user messages.

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IBM Journey to AI blog

DECEMBER 7, 2023

AI-powered customer service does not necessarily mean that all interactions will be self-serve. Generative AI-based customer service team training All talent development will benefit from personalized training built on generative AI, but customer service training will see specific benefits.

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AI Weekly

DECEMBER 14, 2023

billion-parameter model Phi-2 showcases outstanding reasoning and language understanding capabilities, setting a new standard for performance among base language models with less than 13 billion parameters. He was in the city for its inaugural Formula 1 race, which had drawn 315,000 visitors including Rihanna and Kylie Minogue.

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IBM Journey to AI blog

OCTOBER 10, 2023

Organizations around the world are trying to understand the best way to harness these exciting new developments in AI while balancing the inherent risks of using these models in an enterprise context at scale. This is done using our new transformer model , achieving higher accuracy with dramatically less training needed.

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Marktechpost

JANUARY 27, 2024

It is the world’s third-most-capable multimodal model; only GPT4-V and Gemini Ultra are ahead yet surpassed Gemini Pro in Multimodal Language Understanding (MMLU) and Multimodal Model Understanding (MOU). In their recent blog post, the Adept AI researchers highlighted that the formulation of Fuyu-Heavy was very challenging.

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IBM Journey to AI blog

JANUARY 25, 2024

Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English. Though designed with good intentions, the issue is that most AI model owners do not understand how to evaluate the risks for their use case. How are you assessing fairness?

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Towards AI

DECEMBER 31, 2023

weak-to-strong superalignment analogy (figure 1 from the paper) The main results and takeaways have been summarized quite well in the official blog post. This blog post offers a complementary overview of some key technical concepts and methodologies introduced in this paper for learning purposes.

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Becoming Human

MAY 16, 2023

Generative Pre-trained Transformer 4 (GPT-4) is the latest iteration of the groundbreaking GPT series of language models developed by OpenAI. It is trained on a diverse dataset comprising books, articles, and web pages, providing a comprehensive understanding of human language and context.

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IBM Journey to AI blog

SEPTEMBER 5, 2023

In this blog, we’ll touch on different types of chatbots with various degrees of technological sophistication and discuss which makes the most sense for your business. Operating on basic keyword detection, these kinds of chatbots are relatively easy to train and work well when asked pre-defined questions.

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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations. Often, the more data an algorithm is trained on, the more accurate its predictions. But data has to come from somewhere.

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Pickl AI

APRIL 8, 2024

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. This blog delves into 13 of the biggest recent AI failure examples that have occurred in recent years, highlighting the challenges and ethical considerations that accompany this rapidly evolving technology.

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IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. Foundation models can apply what they learn from one situation to another through self-supervised and transfer learning.

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AssemblyAI

MARCH 15, 2023

These changes yield speedups of 29% at inference time and 36% at training time with respect to the original, unmodified Conformer architecture, while at the same time achieving better or similar word-error-rate accuracy. Faster training times enabled our team to run more experiments in order to find the best set of hyperparameters.

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IBM Journey to AI blog

DECEMBER 20, 2023

As more customers look to solve their issues online or through self-service, organizations that fail to use advanced technologies to better serve customer needs will fail at customer experience. CRMs help organizations better understand their customers and find ways to provide more value.

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IBM Journey to AI blog

APRIL 24, 2024

Cybersecurity researchers discovered that hackers can create self-propagating worms that spread by tricking LLM-powered virtual assistants into emailing malware to unsuspecting contacts. Training users to spot prompts hidden in malicious emails and websites can thwart some injection attempts.

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IBM Journey to AI blog

AUGUST 2, 2023

Today’s HR departments struggle to efficiently manage human resource operations and routine tasks, wasting time daily answering employees’ FAQs in the absence of a self-service system. The chatbot is trained to ask for feedback while communicating with employees and analyzing the information.

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Towards AI

MAY 11, 2023

The journey begins with understanding NLP basics, covering essential concepts, techniques, and algorithms. We then delve into deep learning for NLP, exploring the architecture and training of neural networks for text processing. Next, we explore Transformers and Self Attention, which have revolutionized NLP and empowered LLMs.

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IBM Journey to AI blog

JUNE 23, 2023

Digital transformation Insurance companies are reducing cost and providing better customer experience by using automation, digitizing the business, and encouraging customers to use self-service channels. On the other hand, self-supervised learning is computer powered, requires little labeling and is quick, automated and efficient.

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IBM Journey to AI blog

AUGUST 28, 2023

This approach would center on a “self-service” model, empowering users to source and share key data. Building on this new strategic direction, the team focused on deploying the greatly enhanced self-service Cognos Analytics capabilities to supplement the current and successful operational reporting platform.

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IBM Journey to AI blog

JUNE 14, 2023

And then you need highly specialized, expensive and difficult to find skills to work the magic of training an AI model. But that’s all changing thanks to pre-trained, open source foundation models. Sometimes, you don’t know what data a model was trained on because the creators of those models won’t tell you.

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Unite.AI

OCTOBER 7, 2023

But to enable IoE globally, we need technologies that can connect “everything” and understand massive amounts of information to deliver intelligent outcomes. The acquired data can be analyzed using AI-based agriculture systems trained to generate meaningful insights, helping farmers and land owners make timely decisions about their yields.

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IBM Journey to AI blog

JANUARY 19, 2024

Customers will use AI- and ML-driven self-service tools, such as generative AI apps and conversational AI chatbots, to get the information they need. For example, AI-driven chatbots can better understand what customers want and deliver the solution to them quicker because they were trained on previous customer data.

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Towards AI

JANUARY 10, 2024

Every day, new research and new information flood our technical newsletter subscriptions and our favorite technical blogs. By fundamentals, I mean to understand the whole landscape of Generative AI, which is not just a synonym for Large Language Models (LLMs). I will start with my understanding of two approaches to Machine Learning.

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AssemblyAI

AUGUST 3, 2023

This piece should be helpful to anyone who wants a better understanding of LLMs and the challenges in making them safe and reliable. RLHF as Human Preference Tuning RLHF is about teaching an AI model to understand human values and preferences. The core idea of RLHF revolves around training such reward models.

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Becoming Human

MAY 22, 2023

Training an RL agent involves a trial-and-error process where the agent learns from its actions and the subsequent rewards or penalties it receives. In this blog, we will explore the steps involved in training your first RL agent, along with code snippets to illustrate the process. import torch import torch.nn

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IBM Journey to AI blog

JUNE 23, 2023

We realize that outcomes will depend on how these models are trained (by F&A professionals together with their peers in information technology), and that some models may not be able to understand the context of certain F&A concepts, which could lead to inaccurate or misleading results.

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IBM Journey to AI blog

FEBRUARY 12, 2024

It is important to understand customer behaviors on various channels. As you move up the tiers more rewards are given spanning from early access to new product launches, higher discounts, additional birthday perks, makeup training classes, and even complimentary full-sized products.

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IBM Journey to AI blog

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. This is inherently risky. Some of these risks include: 1.

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IBM Journey to AI blog

OCTOBER 9, 2023

AI has the potential to assist in recommending personalized training modules for career mobility. By analyzing data on each employee, such as their skills and preferences, AI could tailor their training according to personal goals. AI-powered HR chatbots can help empower employees with fast answers and self-service support.

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Mlearning.ai

APRIL 18, 2023

Understanding the DINOv2 Model, its Advantages, and its Applications in Computer Vision Introduction : Meta AI, has recently open-sourced DINOv2, a self-supervised learning method for training computer vision models. References: Meta AI Blog BECOME a WRITER at MLearning.ai What is DINOv2?

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Ofemwire

MARCH 1, 2024

Understanding Gemini AI Prompts Gemini AI prompts are queries or requests made to an artificial intelligence system named Gemini. ” Understand the AI’s Capabilities : Gemini AI has been trained on a vast dataset and can generate responses based on the patterns it has learned.

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IBM Journey to AI blog

JANUARY 26, 2024

Maintenance workers need to consume a lot of energy to check up the equipment data to understand and learn new skills, resulting in not only low maintenance efficiency, but also leading to a decline in employee satisfaction and loyalty.

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Marktechpost

DECEMBER 18, 2023

LLMs excel at understanding and generating human-like text, enabling them to comprehend and generate responses that mimic human language, improving communication between machines and humans. It combines a pre-trained LLM with an evaluator, which guards against confabulations and incorrect ideas. Check out the Paper and Blog.

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