Unite.AI

SEPTEMBER 20, 2023

How Hugging Face Facilitates NLP and LLM Projects Hugging Face has made working with LLMs simpler by offering: A range of pre-trained models to choose from. A great resource available through Hugging Face is the Open LLM Leaderboard. Tools and examples to fine-tune these models to your specific needs.

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LLM NLP BERT Python 342

Unite.AI

OCTOBER 30, 2024

There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform.

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Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). These models, like GPT-3 and GPT-4, can generate highly coherent and contextually relevant text.

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Flipboard

MARCH 31, 2025

The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25% of enterprises using generative AI will deploy AI agents, growing to 50% by 2027.

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Analytics Vidhya

DECEMBER 12, 2023

Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.

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LLM Large Language Models Natural Language Processing Machine Learning 108

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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Flipboard

JANUARY 14, 2025

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. This setup enables you to use data for generative purposes and remain compliant with security regulations.

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Analytics Vidhya

SEPTEMBER 18, 2024

Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits.

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Unite.AI

JULY 5, 2023

MosaicML is a generative AI company that provides AI deployment and scalability solutions. Their latest large language model (LLM) MPT-30B is making waves across the AI community. On the HumanEval dataset, the model surpasses purpose-built LLM models, such as the StarCoder series.

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AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

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LLM Natural Language Processing ML Computer Vision 96

Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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Unite.AI

AUGUST 8, 2023

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. billion R&D budget to generative AI, as indicated by CEO Tim Cook.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously.

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Flipboard

FEBRUARY 10, 2025

DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. Generative AI on SageMaker AI SageMaker AI, a fully managed service, provides a comprehensive suite of tools designed to deliver high-performance, cost-efficient machine learning (ML) and generative AI solutions for diverse use cases.

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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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AWS Machine Learning Blog

FEBRUARY 6, 2025

AetionAI, Aetions set of generative AI capabilities, are embedded across the AEP and applications. Aetion chose to use Amazon Bedrock for working with large language models (LLMs) due to its vast model selection from multiple providers, security posture, extensibility, and ease of use.

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BAIR

MARCH 11, 2024

These fantastic individuals bring with them a wealth of knowledge, fresh ideas, and a drive to continue contributing to the advancement of AI. Specifically, I work on methods that algorithmically generates diverse training environments (i.e., learning scenarios) for autonomous agents to improve generalization and sample efficiency.

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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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Analytics Vidhya

JULY 18, 2024

Introduction Imagine a world where AI-generated content is astonishingly accurate and incredibly reliable. Welcome to the forefront of artificial intelligence and natural language processing, where an exciting new approach is taking shape: the Chain of Verification (CoV).

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. This framework is designed as a compound AI system to drive the fine-tuning workflow for performance improvement, versatility, and reusability.

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AWS Machine Learning Blog

FEBRUARY 5, 2025

As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. We will provide a brief introduction to guardrails and the Nemo Guardrails framework for managing LLM interactions.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.

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LLM Generative AI Machine Learning Prompt Engineer 102

AWS Machine Learning Blog

JANUARY 30, 2025

The use of unsupervised learning methods on semi-structured data along with generative AI has been transformative in unlocking hidden insights. AetionAI is a set of generative AI capabilities embedded across the core environment and applications. Smart Subgroups Interpreter is an AetionAI feature in Discover.

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Generative AI Natural Language Processing Machine Learning Prompt Engineer 66

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? An open-source model, Google created BERT in 2018.

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Marktechpost

NOVEMBER 30, 2024

Generative AI systems transform how humans interact with technology, offering groundbreaking natural language processing and content generation capabilities. However, these systems pose significant risks, particularly in generating unsafe or policy-violating content.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM in SageMaker JumpStart is available in two sizes: Medical LLM – Small and Medical LLM – Medium.

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ODSC - Open Data Science

MARCH 4, 2025

Be sure to check out their talk, Guardrails in Generative AI Workflows via Orchestration , there! Artificial Intelligence has been one of the fastest-growing technology fields, and generative AI has been at its forefront. For LLM output, this can check that the generated output is appropriate for end-user viewing.

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Marktechpost

JULY 3, 2024

In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications.

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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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AWS Machine Learning Blog

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. LLM integration The preprocessed text is fed into a powerful LLM tailored for the healthcare and life sciences (HCLS) domain.

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LLM NLP Data Integration AI 101

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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Unite.AI

JULY 26, 2024

As the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a significant need across different domains. The two latest examples are Open AI’s ChatGPT-4 and Meta’s latest Llama 3. As LLMs evolve, they will likely become more context-aware, multimodal, and energy-efficient.

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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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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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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

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