IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. This framework helps streamline and simplify the process for businesses to calculate Scope 3 emissions.

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IBM Journey to AI blog

JANUARY 8, 2024

The judiciary, like the legal system in general, is considered one of the largest “text processing industries” Language, documents, and texts are the raw material of legal and judicial work. As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents.

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IBM Journey to AI blog

MAY 1, 2023

In 1847, George Boole first described a formal language for logic reasoning and in 1936, Alan Turing described the Turing machine. After the success of Deep Blue, IBM again made the headlines with IBM Watson, an AI system capable of answering questions posed in natural language, when it won the quiz show Jeopardy against human champions.

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IBM Journey to AI blog

OCTOBER 17, 2023

They use high temperature heat in many of their processes that is primarily driven by fossil fuel. They are also trying alternate fuels, which come with their own challenges of alternate fuel availability, and the ability to manage processes with fuel-mixes. Fighting climate change requires lowering heavy industry emissions.

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IBM Journey to AI blog

APRIL 18, 2024

But, unlike humans, AGIs don’t experience fatigue or have biological needs and can constantly learn and process information at unimaginable speeds. AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content.

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IBM Journey to AI blog

OCTOBER 9, 2023

How HR departments are using AI AI use in HR refers to the deployment of machine learning (ML), natural language processing (NLP) and other AI technologies to automate human resources tasks and support decision-making. Candidate sourcing and hiring: A common complaint about the hiring process is that it’s slow.

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IBM Journey to AI blog

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. It can also modernize legacy code and translate code from one programming language to another.

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Towards AI

DECEMBER 28, 2023

10+ Python packages for Natural Language Processing that you can’t miss, along with their corresponding code.Foto di Max Duzij su Unsplash Natural Language Processing is the field of Artificial Intelligence that involves text analysis. It combines statistics and mathematics with computational linguistics.

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Unite.AI

JUNE 15, 2023

Natural Language Processing , commonly referred to as NLP, is a field at the intersection of computer science, artificial intelligence, and linguistics. It focuses on enabling computers to understand, interpret, and generate human language.

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IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making.

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IBM Journey to AI blog

NOVEMBER 7, 2023

As businesses undergo digital transformation efforts and integrate data and technology throughout their operations and processes, they create the opportunity to automate business initiatives — however small or large — such as administrative tasks, workflows, monitoring, and integration across platforms. Why automation?

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IBM Journey to AI blog

JUNE 14, 2023

If you want to start a different task or solve a new problem, you often must start the whole process over again—it’s a recurring cost. Starting from this foundation model, you can start solving automation problems easily with AI and using very little data—in some cases, called few-shot learning, just a few examples.

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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. GPT-4 has more parameters than GPT-3, allowing it to store and process a more extensive range of knowledge.

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Towards AI

FEBRUARY 13, 2024

You can ask the chatbot questions, and it will answer in natural language and with code in multiple programming languages. The training process of Decoder-only Transformers Given enough training data, they can also learn to generate code. GitHub Copilot is a commercial example of an AI pair programmer.

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IBM Journey to AI blog

MARCH 8, 2024

These personalized shopping experiences can be deployed in several touchpoints including product pages, email campaigns, and during the checkout process. For example, several optical retailers allow consumers to digitally “try on” a pair of glasses.

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Towards AI

JULY 17, 2023

Natural language processing, computer vision, machine learning I recently moved from the computer vision (CV) domain to the natural language processing (NLP) domain and found some interesting observations. NLP is language-specific, but CV is not. NLP is language-specific, but CV is not.

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Towards AI

JANUARY 30, 2024

While I post the list in this blog, I’m also maintaining a “live” list that is detailed and will keep on updating. Examples: GPT 3.5, The term “Large” refers to the number of trained parameters in the models ( billions of parameters) Examples: GPT 3.5, Therefore used for very specific tasks.

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IBM Journey to AI blog

FEBRUARY 15, 2024

The product uses bleeding edge technology to isolate and understand the human voice in noisy conditions while simultaneously supporting a natural, free-flowing conversation between the customer placing the order and the voice agent. It then listens to process incoming audio and isolate- the human voice.

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Marktechpost

APRIL 16, 2024

In recent years, generative AI has gained significant traction due to its ability to generate novel, realistic, and diverse outputs, revolutionizing creative processes and content generation pipelines. Example: AI artist Robbie Barrat utilizes GANs to produce artworks that challenge traditional concepts of authorship and artistic merit.

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Unite.AI

DECEMBER 15, 2023

Mistral AI which is a Paris-based open-source model startup has challenged norms by releasing its latest large language model (LLM), MoE 8x7B, through a simple torrent link. Often foregoing the usual accompaniments of papers, blogs, or press releases, their strategy has been uniquely effective in capturing the AI community's attention.

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NVIDIA

MARCH 13, 2024

They’re made possible thanks to large language models , deep learning algorithms pretrained on massive datasets — as expansive as the internet itself — that can recognize, summarize, translate, predict and generate text and other forms of content. Learn more about LLM agents on the NVIDIA developer blog.

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AssemblyAI

AUGUST 3, 2023

The rise of Large Language Models (LLMs) is revolutionizing how we interact with technology. Today, ChatGPT and other LLMs can perform cognitive tasks involving natural language that were unimaginable a few years ago. A second language model, call it the preference model. How is it capable of doing this?

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IBM Journey to AI blog

AUGUST 2, 2023

However, I noticed two prominent problems in the IT support process: repetitiveness and availability. For this reason, their problems were not always “new” This meant my troubleshooting process was at times very uniform and repetitive. This type of customer care was a process that could certainly be automated.

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Towards AI

FEBRUARY 6, 2024

Photo by Johannes Plenio on Unsplash Since the 2017 paper “Attention Is All You Need” invented the Transformer architecture, natural language processing (NLP) has seen tremendous growth. And with the release of ChatGPT in November 2022, large language models (LLMs) has captured everyone’s interest.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

On the backend, AI likewise has the potential to supercharge digital modernization in by, for example, automating the migration of legacy software to more flexible cloud-based applications, or accelerating mainframe application modernization. appeared first on IBM Blog. Let’s embrace the age of AI value creation together.

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IBM Journey to AI blog

OCTOBER 25, 2023

But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes.

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Pickl AI

MARCH 27, 2023

It involves the processing of information and following commands is in the same line as that of the human brain. Well, it’s Natural Language Processing which equips the machines to work like a human. Benefits of NLP Natural Language Processing (NLP) is gaining popularity for the right reasons.

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Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). ChatGPT , a chatbot developed by the OpenAI team, is an example of an LLM. This data comes everywhere, including articles, blogs, news sites, and journals.

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Google Research AI blog

MAY 15, 2023

In general, models’ success at in-context learning is enabled by: Their use of semantic prior knowledge from pre-training to predict labels while following the format of in-context examples (e.g., Learning the input-label mappings in context from the presented examples (e.g.,

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Marktechpost

MARCH 3, 2024

The field of Artificial Intelligence (AI) is significantly pushing the envelope of technology, thanks to the amazing capabilities of Large Language Models (LLMs). These models based on Natural Language Processing, Understanding, and Generation have demonstrated exceptional skills and potential in almost every industry.

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Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 As of right now, the architecture can help with language modeling and machine translation. Below are the bullet-points from the blog on what you can do to help. Forge Where are we?

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Becoming Human

FEBRUARY 1, 2023

Meet Mr. ChatGPT: A Large Language Model Trained by OpenAI Hello and welcome to the blog! My name is ChatGPT, and I am a large language model trained by OpenAI. For credits, of image goes to openai.com Language models are a type of artificial intelligence (AI) that is trained to generate human-like text.

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Flipboard

MARCH 1, 2023

AI startups often focus on developing cutting-edge technology and algorithms that analyze and process large amounts of data quickly and accurately. The new age focus uses natural language processing to help businesses create more effective marketing messages. trillion to the global economy by 2030.

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ODSC - Open Data Science

OCTOBER 2, 2023

In the past year, there has been a surge of interest in large language models and LLM agents. As large language models continue their assent into multiple fields, they will begin to branch off and become more domain-specific to tackle complex problems that general LLMs aren’t well suited for.

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AWS Machine Learning Blog

FEBRUARY 16, 2024

Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from both code and natural language prompts. This will start the endpoint deployment process, as shown in the following screenshot.

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Artificial Corner

JULY 7, 2023

Unlocking the Power of AI Language Models through Effective Prompt Crafting Midjourney In the world of artificial intelligence (AI), one of the most exciting and rapidly evolving areas is Natural Language Processing (NLP). For example, if you ask an AI model, “How are you?”, “How are you?” is the prompt.

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