IBM Journey to AI blog

MAY 15, 2023

Powered by AI you can trust, and an intuitive user interface, Watson Assistant empowers users with the tools to build intelligent virtual agents and deliver automated self-service support across all channels and touch-points. The new Watson Assistant capabilities are planned to be released this year. Stay tuned for more announcements.

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Unite.AI

NOVEMBER 11, 2023

In this blog, we explore ChatGPT prompts specifically tailored for HR professionals, each designed to tackle a unique aspect of the HR domain. Creating Employee Engagement Surveys Understanding and enhancing employee engagement is vital for retaining talent and maintaining a productive work environment.

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ChatGPT Continuous Learning Prompt Engineer Prompt Engineering 342

BAIR

MAY 29, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. The text directly below gets tweets to work. Please adjust according to your post.

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IBM Journey to AI blog

MAY 17, 2024

As with other models, business leaders should first understand their business goals before diving into this model. Business leaders understand the benefits of cloud native and, though new to the technology, team members have basic technical understanding. Service ownership is established and distributed to self-sufficient teams.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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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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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

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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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

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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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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NVIDIA

MARCH 21, 2024

Crafted in a popular format used for standard rendering applications, the generated shapes can be easily served up in virtual environments for developing video games, ad campaigns, design projects or virtual training grounds for robotics. “A LATTE3D was trained using NVIDIA A100 Tensor Core GPUs. and online through March 21.

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AI Researcher AI Research Robotics Computer Vision 121

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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IBM Journey to AI blog

NOVEMBER 16, 2023

Equipping the current and future workforce with green skills According to new Morning Consult research commissioned by IBM, 71% of business leaders surveyed anticipate their business will emphasize sustainability skills criteria in their hiring in the next two years, with 92% expecting to invest in sustainability training in the next year.

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Unite.AI

MAY 27, 2024

In this comprehensive technical blog, we'll delve into the latest cutting-edge techniques and strategies that are shaping the future of prompt engineering. This approach involves constructing a synthetic training dataset that demonstrates the proper use of various text-to-text APIs. apple => pomme 2. house => maison 3.

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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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Unite.AI

MAY 2, 2024

In this technical blog, we will explore techniques for estimating and optimizing memory consumption during LLM inference and fine-tuning across various hardware setups. This reduces training time linearly with the number of GPUs but does not reduce the peak memory requirement on each GPU.

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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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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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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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AssemblyAI

MAY 3, 2023

A language model can predict the most probable word (or words) to follow this phrase, based on the statistical patterns it has learned during training. How are these models trained to do this? During the training process, an LM is fed with a large corpus (dataset) of text and tasked with predicting the next word in a sentence.

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IBM Journey to AI blog

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. They can also perform self-supervised learning to generalize and apply their knowledge to new tasks. models are trained on IBM’s curated, enterprise-focused data lake.

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Marktechpost

JUNE 9, 2023

All of these models require a huge corpus of data to train. This model has a lot of promise and potential to improve how current models train. It combines two self-supervised learning architectures, contrastive learning, and masked data modeling. And most of the successful systems rely on annotated datasets to teach themselves.

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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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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

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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Chatbots AI Chatbots Conversational AI NLP 146

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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Metadata Explainability Automation AI 179

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

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

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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Chatbots Conversational AI Natural Language Processing Artificial Intelligence 154

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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Automation Neural Network Large Language Models Generative AI 141

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

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

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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LLM Large Language Models Chatbots Artificial Intelligence 210

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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