Unite.AI

SEPTEMBER 1, 2023

Let’s begin here: Yes, the opportunities for Generative AI (GenAI) are immense. Many companies have experience with natural language processing (NLP) and low-level chatbots, but GenAI is accelerating how data can be integrated, interpreted, and converted into business outcomes. until relatively recently.

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Analytics Vidhya

NOVEMBER 1, 2023

Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing.

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NVIDIA

MARCH 18, 2024

NVIDIA GTC , running this week at the San Jose Convention Center, will spotlight the groundbreaking work NVIDIA and its partners are doing to bring the transformative power of generative AI , large language models and visual language models to the mobility sector.

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Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Unite.AI

MARCH 1, 2024

Transformers Transformers are a revolutionary type of neural network architecture that has come to dominate natural language processing in recent years. Transformers process data in parallel across attention-based blocks, allowing them to model complex long-range dependencies in sequences.

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Towards AI

JANUARY 30, 2024

Author(s): Abhinav Kimothi Originally published on Towards AI. Being new to the world of Generative AI, one can feel a little overwhelmed by the jargon. LLMs have been considered game-changers because of their ability to generate coherent text. All LLMs are next “token” prediction models. Examples: GPT 3.5,

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. These task-specific prompts are then fed into the LLM, which is tasked with predicting the likelihood of interaction between a particular user and item.

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SAS Software

MAY 1, 2024

SAS' Federica Citterio answers the perennial data science question: "How can I trust (generative) LLM to provide a reliable, non-hallucinated result?" The post Five steps to improve information extraction using trustworthy generative AI appeared first on SAS Blogs.

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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. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? Generative AI is igniting a new era of innovation within the back office.

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AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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NVIDIA

NOVEMBER 16, 2023

Generative AI , the most transformative tool of our time, enables a kind of digital jiu jitsu. In a recent survey , CEOs said cybersecurity is one of their top three concerns, and they see generative AI as a lead technology that will deliver competitive advantages. Generative AI brings both risks and benefits.

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Marktechpost

DECEMBER 12, 2023

Chatbots often use large language models (LLMs), known for their many useful skills, including natural language processing, reasoning, and tool proficiency. They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM).

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ODSC - Open Data Science

NOVEMBER 8, 2023

Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. It is also used to customize LLMs for specific applications, such as customer service chatbots or medical diagnosis systems.

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Analytics Vidhya

OCTOBER 19, 2023

Introduction Step into the forefront of language processing! In a realm where language is an essential link between humanity and technology, the strides made in Natural Language Processing have unlocked some extraordinary heights.

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Topbots

FEBRUARY 19, 2024

However, building a successful LLM application involves much more than just leveraging advanced technology. When embarking on the journey of building an LLM application, one of the first and most crucial decisions is choosing the foundation model. Create Targeted Evaluation Sets for Comparing LLM Performance in Your Specific Use Case.

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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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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. This course is ideal for those interested in the latest in natural language processing technologies.

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Unite.AI

OCTOBER 19, 2023

The same prompts that enable LLMs to engage in meaningful dialogue can be manipulated with malicious intent. Sequoia Capital projected that “generative AI can enhance the efficiency and creativity of professionals by at least 10%. A prompt injection attack is when a hacker feeds a text prompt to an LLM or chatbot.

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Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business.

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AI Weekly

FEBRUARY 22, 2024

artificialintelligence-news.com Google’s new AI hub in Paris proves that Google feels insecure about AI This morning, Google’s CEO Sundar Pichai inaugurated a new hub in Paris dedicated to AI. ucf.edu Generative AI and Generative Conversations: Contrasting Futures for Organizational Change?

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Salmon Run

FEBRUARY 24, 2024

I got into Natural Language Processing (NLP) and Machine Learning (ML) through Search. And this led me into Generative AI (GenAI), which led me back to Search via Retrieval Augmented Generation (RAG).

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Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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Allen AI

FEBRUARY 1, 2024

This empowers researchers and developers to use the best and open models to advance the science of language models collectively. Open foundation models have been critical in driving a burst of innovation and development around generative AI,” said Yann LeCun, Chief AI Scientist at Meta.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In either case, as knowledge management becomes more complex, generative AI presents a game-changing opportunity for enterprises to connect people to the information they need to perform and innovate. To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist.

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Analytics Vidhya

APRIL 19, 2023

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG).

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Towards AI

NOVEMBER 17, 2023

After one year of implementing AI features for various businesses, I share my perspective on the mistakes I see companies making with LLMs, but also which strategy to adopt. 2023 has been the year of massive achievement in artificial intelligence, especially in Natural Language Processing with Large Language Models (LLMs).

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Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. RL offers a natural solution to bridge the gap between the optimized object (e.g.,

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AWS Machine Learning Blog

JUNE 13, 2023

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. LangChain requires an LLM to be defined.

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ODSC - Open Data Science

MARCH 12, 2024

With large language models and generative AI reshaping the digital landscape, what isn’t talked about enough is how these technologies have also revolutionized and significantly shifted the landscape of hardware requirements. That’s because the computational power required to train and run LLMs and generative AI is immense.

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Towards AI

MAY 20, 2023

Technical Challenges Building a custom Language Model (LLM) involves challenges related to model architecture, training, evaluation, and validation. Choosing the appropriate architecture and parameters requires expertise, and training custom LLMs demands advanced machine-learning skills.

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AWS Machine Learning Blog

AUGUST 30, 2023

It enables translation of reports into human readable language, thereby alleviating the patients’ burden of reading through lengthy and obscure reports. To solve this problem, we propose the use of generative AI, a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

They are able to connect insights across these diverse data types to gain a more comprehensive understanding and generate appropriate responses. Multi-modal agents, in conjunction with generative AI, are finding a wide spread application in financial markets. The following screenshot shows an example of the UI.

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NVIDIA

NOVEMBER 15, 2023

To understand the latest advance in generative AI , imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. So, What Is Retrieval-Augmented Generation?

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AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.

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Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5

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