AI News

JUNE 28, 2023

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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Unite.AI

OCTOBER 27, 2024

The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications. is its intuitive approach to neural network training and implementation. environments.

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Unite.AI

OCTOBER 24, 2023

Large Language Models (LLMs) have carved a unique niche, offering unparalleled capabilities in understanding and generating human-like text. The power of LLMs can be traced back to their enormous size, often having billions of parameters. Notably: PaLM , BLOOM, etc.

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Snorkel AI

JANUARY 22, 2025

The neural network architecture of large language models makes them black boxes. Neither data scientists nor developers can tell you how any individual model weight impacts its output; they often cant reliably predict how small changes in the input will change the output. Aligning an LLM works similarly.

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Unite.AI

OCTOBER 16, 2023

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. These models are trained on vast datasets encompassing a broad spectrum of internet text.

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Unite.AI

NOVEMBER 28, 2023

Recently, text-based Large Language Model (LLM) frameworks have shown remarkable abilities, achieving human-level performance in a wide range of Natural Language Processing (NLP) tasks. This approach trains large language models to more effectively follow open-ended user instructions.

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Analytics Vidhya

JULY 27, 2023

LSTM, the brainchild of Dr. Sepp Hochreiter and Juergen Schmidhuber, revolutionized neural networks. But now, Hochreiter reveals a hidden successor to LSTM called “XLSTM,” aiming to take down […] The post The Challenger Aiming to Dethrone OpenAI’s LLM Supremacy: XLSTM appeared first on Analytics Vidhya.

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Marktechpost

APRIL 25, 2024

Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative.

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AI News

DECEMBER 7, 2023

He outlined key attributes of neural networks, embeddings, and transformers, focusing on large language models as a shared foundation. Neural networks — described as probabilistic and adaptable — form the backbone of AI, mimicking human learning processes.

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Unite.AI

FEBRUARY 19, 2025

Large language models (LLMs) like OpenAIs o3 , Googles Gemini 2.0 , and DeepSeeks R1 have shown remarkable progress in tackling complex problems, generating human-like text, and even writing code with precision. But do these models actually reason , or are they just exceptionally good at planning ?

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Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts.

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Marktechpost

MARCH 20, 2024

The development and refinement of large language models (LLMs) mark a significant step in the progress of machine learning. These sophisticated algorithms, designed to mimic human language, are at the heart of modern technological conveniences, powering everything from digital assistants to content creation tools.

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The MLOps Blog

JANUARY 23, 2025

TL;DR Multimodal Large Language Models (MLLMs) process data from different modalities like text, audio, image, and video. Compared to text-only models, MLLMs achieve richer contextual understanding and can integrate information across modalities, unlocking new areas of application. How do multimodal LLMs work?

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Unite.AI

FEBRUARY 28, 2024

Large language models (LLMs) like GPT-4, DALL-E have captivated the public imagination and demonstrated immense potential across a variety of applications. In this post, we will explore the attack vectors threat actors could leverage to compromise LLMs and propose countermeasures to bolster their security.

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Marktechpost

OCTOBER 10, 2024

LLMs, particularly transformer-based models, have advanced natural language processing, excelling in tasks through self-supervised learning on large datasets. Recent studies show LLMs can handle diverse tasks, including regression, using textual representations of parameters.

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Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

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Marktechpost

JUNE 18, 2024

Two notable research papers contribute to this development: “Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles” by University of Copenhagen researchers and “Deep Bayesian Active Learning for Preference Modeling in Large Language Models” by University of Oxford researchers.

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Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are capable of understanding and generating human-like text, making them invaluable for a wide range of applications, such as chatbots, content generation, and language translation. Large Language Models (LLMs) are a type of neural network model trained on vast amounts of text data.

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Marktechpost

FEBRUARY 1, 2025

Meanwhile, large language models (LLMs) such as GPT-4 add a new dimension by allowing agents to use conversation-like steps, sometimes called chain-of-thought reasoning, to interpret intricate instructions or ambiguous tasks. LLM-Based Reasoning (GPT-4 Chain-of-Thought) A recent development in AI reasoning leverages LLMs.

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Unite.AI

OCTOBER 17, 2024

During training, each row of data as it passes through the network–called a neural network–modifies the equations at each layer of the network so that the predicted output matches the actual output. As the data in a training set is processed, the neural network learns how to predict the outcome.

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Unite.AI

MARCH 19, 2025

In recent years, large language models (LLMs) have made significant progress in generating human-like text, translating languages, and answering complex queries. However, despite their impressive capabilities, LLMs primarily operate by predicting the next word or token based on preceding words.

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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). As a result, LLMs have become a key tool for a wide range of NLP applications. LLM does translation in two ways.

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Marktechpost

JULY 14, 2024

Researchers from Mohamed bin Zayed University of AI and Carnegie Mellon University introduce Fully Binarized Large Language Models (FBI-LLM), training large-scale binary language models from scratch to match the performance of full-precision counterparts. uses a set of {-1, 0, 1} for parameters.

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Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Provide a thorough investigation of the potential of graph structures to address the limitations of LLMs.

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Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. ” These limitations have spurred researchers to explore innovative solutions that can enhance LLM performance without the need for extensive retraining.

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Unite.AI

DECEMBER 13, 2024

Large language models (LLMs) , such as GPT-4 , BERT , Llama , etc., Technologies such as Recurrent Neural Networks (RNNs) and transformers introduced the ability to process sequences of data and paved the way for more adaptive AI. With advancements in machine learning, dynamic memory became possible.

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AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. Want to dive deeper?

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Towards AI

JANUARY 21, 2025

For the past two years, ChatGPT and Large Language Models (LLMs) in general have been the big thing in artificial intelligence. Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In

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Marktechpost

MARCH 1, 2024

The quest for clean, usable data for pretraining Large Language Models (LLMs) resembles searching for treasure amidst chaos. NeuScraper distinguishes itself by employing a neural network-based approach to web scraping, a significant departure from the traditional methodologies.

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Unite.AI

APRIL 1, 2024

By implementing these components, LVLMs enhance the visual perception capabilities of Large Language Models (LLMs). Performance can be further improved by increasing the model's size and number of parameters, as well as expanding the dataset scale. Furthermore, the MoE-LLaVA framework with 2.2

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Marktechpost

JULY 11, 2024

Existing methods for review generation often employ encoder-decoder neural network frameworks. Researchers from Tianjin University and Du Xiaoman Financial have introduced a novel framework called Review-LLM , designed to harness the capabilities of LLMs such as Llama-3. Turbo’s scores of 17.62

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Marktechpost

SEPTEMBER 21, 2023

Large Language Models (LLMs) based on transformers, such as GPT, PaLM, and LLaMA, have become widely used in a variety of real-world applications. These models have been applied to a variety of tasks, including text production, translation, and natural language interpretation. Check out the Paper.

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AssemblyAI

MAY 23, 2023

ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language. A language model can be fine-tuned on medical documents for specialized tasks in the medical field. A simple artificial neural network with three layers.

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Unite.AI

JUNE 4, 2024

In a world where AI seems to work like magic, Anthropic has made significant strides in deciphering the inner workings of Large Language Models (LLMs). By examining the ‘brain' of their LLM, Claude Sonnet, they are uncovering how these models think. How Anthropic Enhances Transparency of LLMs?

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Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

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AssemblyAI

APRIL 5, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community LeMUR Cookbooks: Build Audio LLM Apps LeMUR  is the easiest way to code applications that apply LLMs to speech.

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Marktechpost

DECEMBER 7, 2023

Understanding large language models (LLMs) and promoting their honest conduct has become increasingly crucial as these models have demonstrated growing capabilities and started widely adopted by society. Only 46 attention heads, or 0.9% These treatments are resilient over several dataset splits and prompts.

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