Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

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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. Why are Scope 3 emissions difficult to calculate?

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Marktechpost

JANUARY 12, 2024

One of the most important areas of NLP is information extraction (IE), which takes unstructured text and turns it into structured knowledge. At the same time, Llama and other large language models have emerged and are revolutionizing NLP with their exceptional text understanding, generation, and generalization capabilities.

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ODSC - Open Data Science

SEPTEMBER 6, 2023

Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. But as time has gone on, many industries have realized the power of these models. CaseHOLD is a new dataset for legal NLP tasks.

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AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. Answering them, he explained, requires an interdisciplinary approach. AI’s dark side explained We live in a world where anything seems possible with AI.

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Towards AI

OCTOBER 31, 2024

A Complete Guide to Embedding For NLP & Generative AI/LLM By Mdabdullahalhasib This article provides a comprehensive guide to understanding and implementing vector embedding in NLP and generative AI. It also addresses challenges in fine-tuning, such as preserving general capabilities while improving task-specific performance.

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Unite.AI

JANUARY 1, 2025

Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions. In cases where a customer might need support with online platforms, AI can respond in real time, providing customers with instructions in plain, simple language.

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Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. rely on Language Models as their foundation.

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Towards AI

AUGUST 21, 2023

The increment of business applications that are based on Large Language Models has brought the need to measure the quality of the solutions provided by these applications. With these models, we are beginning to use metrics such as BLEU, ROUGE, or METEOR. Metrics that are adapted to the objective of the model.

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Marktechpost

OCTOBER 9, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as machine translation and question-answering. However, a significant challenge remains in understanding the theoretical underpinnings of their performance.

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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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AI Weekly

JUNE 1, 2023

ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained Transformer (GPT) language model to understand and respond to natural language inputs. siliconangle.com Can AI improve cancer care?

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Marktechpost

JULY 22, 2024

Authorship Verification (AV) is critical in natural language processing (NLP), determining whether two texts share the same authorship. Current AV models focus mainly on binary classification, which often lacks transparency. This lack of explainability is a gap in academic interest and a practical concern.

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Marktechpost

SEPTEMBER 18, 2024

Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). This strategy aligns with the growing trend of making AI tools more transparent and explainable.

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ODSC - Open Data Science

MARCH 10, 2025

Researchers and practitioners explored complex architectures, from transformers to reinforcement learning , leading to a surge in sessions on natural language processing (NLP) and computervision. Topics such as explainability (XAI) and AI governance gained traction, reflecting the growing societal impact of AI technologies.

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Towards AI

FEBRUARY 6, 2025

Meme shared by hitoriarchie TAI Curated section Article of the week Unlocking the Potential of Meta LLaMA: A Deep Dive into Its Design, Architecture, and Applications By Shenggang Li This article explores Metas Llama, a large language model designed for efficiency and accessibility.

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Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Beyond traditional search engines, these models represent a new era of intelligent Web browsing agents that go beyond simple keyword searches.

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Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). These models have the potential to revolutionize industries ranging from customer service to scientific research, but their capabilities and limitations are still not fully understood.

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Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. These include few-shot learning, ReAct, chain-of-thought, RAG, and more.

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John Snow Labs

JANUARY 25, 2024

With early customers already in production and presenting public case studies of their successes, John Snow Labs will continue to innovate and improve its large language models (LLMs) for healthcare. The no-code NLP Lab platform has experienced 5x growth by teams training, tuning, and publishing AI models.

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AWS Machine Learning Blog

DECEMBER 23, 2024

This enhancement is achieved by using the graphs ability to model complex relationships and dependencies between data points, providing a more nuanced and contextually accurate foundation for generative AI outputs. How graphs make RAG more accurate In this section, we discuss the ways in which graphs make RAG more accurate.

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IBM Journey to AI blog

SEPTEMBER 7, 2023

And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business. IBM’s Granite foundation models are targeted for business Developed by IBM Research , the Granite models — Granite.13b.instruct

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Towards AI

OCTOBER 8, 2023

Image generated using DALL-E Hi, glad you found your way to this Gentle Introduction to Large Language Models or LLMs. We’ll take a walk along the fantastic landscape of large language models and in the process, discuss some of the core concepts and how/why they work. Let’s get started.

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John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). Large language models (LLMs) are a powerful new technology with the potential to revolutionize many industries.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

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Flipboard

FEBRUARY 19, 2025

But first, we explain technical architecture that makes Alfred such a powerful tool for Andurils workforce. The retrieval component uses Amazon Kendra as the intelligent search service, offering natural language processing (NLP) capabilities, machine learning (ML) powered relevance ranking, and support for multiple data sources and formats.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

included the Slate family of encoder-only models useful for enterprise NLP tasks. We’re happy to now introduce the first iteration of our IBM-developed generative foundation models, Granite. It can also help autocomplete code, modify code and explain code snippets in natural language.

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Marktechpost

MAY 30, 2024

Learners will gain hands-on experience with image classification models using public datasets. Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

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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. The development and use of these models explain the enormous amount of recent AI breakthroughs.

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Flipboard

SEPTEMBER 25, 2023

The companies include: Talc AI, a service for assessing large language models. Talc Photo) Co-founders: Matt Lee and Max Kerr Explain what your startup does in two sentences: We provide end-to-end evaluation of large language model apps. Watto AI, an AI program that generates consulting reports.

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Marktechpost

JULY 7, 2023

Large Language Models (LLMs) and Generative AI, such as GPT engines, have been creating big waves in the AI domain recently, and there is a big hype in the market, both among retail individuals and corporates, to ride this new tech wave.

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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O'Reilly Media

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

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Marktechpost

JUNE 9, 2024

It explains the differences between hand-coded algorithms and trained models, the relationship between machine learning and AI, and the impact of data types on training. Large Language Models This course covers large language models (LLMs), their training, and fine-tuning.

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Marktechpost

JULY 22, 2024

The recent development of large language models (LLMs) has transformed the field of Natural Language Processing (NLP). LLMs show human-level performance in many professional and academic fields, showing a great understanding of language rules and patterns.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

What are large language models? Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. Large language models (LLMs) have taken the field of AI by storm.

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