AI News

FEBRUARY 15, 2024

Researchers at Amazon have trained a new large language model (LLM) for text-to-speech that they claim exhibits “emergent” abilities. The post Amazon trains 980M parameter LLM with ’emergent abilities’ appeared first on AI News.

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Analytics Vidhya

FEBRUARY 8, 2024

Introduction In the rapidly evolving field of Natural Language Processing (NLP), one of the most intriguing challenges is converting natural language queries into SQL statements, known as Text2SQL.

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Marktechpost

DECEMBER 6, 2024

The rapid adoption of Large Language Models (LLMs) in various industries calls for a robust framework to ensure their secure, ethical, and reliable deployment. Lets look at 20 essential guardrails designed to uphold security, privacy, relevance, quality, and functionality in LLM applications.

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Marktechpost

DECEMBER 19, 2024

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Conclusion Picotron represents a step forward in LLM training frameworks, addressing long-standing challenges associated with 4D parallelization.

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Unite.AI

MARCH 26, 2025

This evolution of LLMs is enabling engineers to evolve embodied AI beyond performing some repetitive tasks. A key advantage of LLMs is their ability to improve natural language interaction with robots. Beyond communication, LLMs can assist with decision-making and planning.

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Analytics Vidhya

OCTOBER 9, 2023

Introduction Large language models, or LLMs, have taken the world of natural language processing by storm. They are powerful AI systems designed to generate human-like text and comprehend and respond to natural language inputs.

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Unite.AI

SEPTEMBER 19, 2024

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Why LLM APIs Matter for Enterprises LLM APIs enable enterprises to access state-of-the-art AI capabilities without building and maintaining complex infrastructure.

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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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Unite.AI

MARCH 16, 2025

Meta AIs Multimodal Iterative LLM Solver (MILS) is a development that changes this. Unlike traditional models that require retraining for every new task, MILS uses zero-shot learning to interpret and process unseen data formats without prior exposure. 8B, that creates multiple possible interpretations of the input.

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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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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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Unite.AI

JANUARY 11, 2025

Large Language Models (LLMs) have changed how we handle natural language processing. For example, an LLM can guide you through buying a jacket but cant place the order for you. A memory component could help LLM to keeps track of past actions, enabling it adapting to new scenarios.

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Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). This paper explored models using fine-tuning and transfer learning.

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Unite.AI

NOVEMBER 11, 2024

They process and generate text that mimics human communication. This raises an important question: Do LLMs remember the same way humans do? At the leading edge of Natural Language Processing (NLP) , models like GPT-4 are trained on vast datasets. They understand and generate language with high accuracy.

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Unite.AI

APRIL 5, 2025

In recent years, the AI field has been captivated by the success of large language models (LLMs). Initially designed for natural language processing, these models have evolved into powerful reasoning tools capable of tackling complex problems with human-like step-by-step thought process.

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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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Unite.AI

APRIL 17, 2025

AI has shown value for the large organizations that have resources to carefully implement it through their own LLM models and software. But Small and Medium-Sized Businesses (SMBs) dont have the same resources, so they must figure out how to best use the power of LLMs.

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Analytics Vidhya

JUNE 13, 2024

Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation and analysis.

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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. Using their extensive training data, LLM-based agents deeply understand language patterns, information, and contextual nuances.

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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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AWS Machine Learning Blog

MARCH 5, 2025

Enter Chronos , a cutting-edge family of time series models that uses the power of large language model ( LLM ) architectures to break through these hurdles. Zero shot results are from Chronos: Learning the Language of Time Series. Outside of work, he enjoys game development and rock climbing.

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Analytics Vidhya

MAY 8, 2023

Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.

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Flipboard

NOVEMBER 20, 2024

The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. In this post, we explore an innovative approach that uses LLMs on Amazon Bedrock to intelligently extract metadata filters from natural language queries.

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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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Unite.AI

MARCH 23, 2025

Reliance on third-party LLM providers could impact operational costs and scalability. Natural Language Processing (NLP): Built-in NLP capabilities for understanding user intents and extracting key information. Live chat is only available on higher-priced plans. Standard plans offer limited analytical capabilities.

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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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Unite.AI

JULY 5, 2023

Their latest large language model (LLM) MPT-30B is making waves across the AI community. The MPT-30B: A Powerful LLM That Exceeds GPT-3 MPT-30B is an open-source and commercially licensed decoder-based LLM that is more powerful than GPT-3-175B with only 17% of GPT-3 parameters, i.e., 30B.

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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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ODSC - Open Data Science

APRIL 4, 2025

In the evolving field of natural language processing (NLP), data labeling remains a critical step in training machine learning models. To address these challenges, organizations are increasingly turning to LLM-automated annotationleveraging Large Language Models (LLMs) to automate and streamline the labeling process.

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Analytics Vidhya

JUNE 6, 2024

This will help the large language models understand English text and generate meaningful full tokens during the generation period. One of the other common tasks in Natural Language Processing is the Sequence Classification Task. […] The post How to Finetune Llama 3 for Sequence Classification?

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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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Analytics Vidhya

SEPTEMBER 21, 2023

Introduction Large language models (LLMs) are prominent innovation pillars in the ever-evolving landscape of artificial intelligence. These models, like GPT-3, have showcased impressive natural language processing and content generation capabilities.

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Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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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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Unite.AI

OCTOBER 27, 2024

Developers can easily connect their applications with various LLM providers, databases, and external services while maintaining a clean and consistent API. js includes ready-to-use models for tasks like image classification, pose estimation, sound recognition, and natural language processing, all accessible through an intuitive API.

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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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Flipboard

MARCH 31, 2025

Flows empower users to define sophisticated workflows that combine regular code, single LLM calls, and potentially multiple crews, through conditional logic, loops, and real-time state management. Flows CrewAI Flows provide a structured, event-driven framework to orchestrate complex, multi-step AI automations seamlessly.

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