Unite.AI

FEBRUARY 6, 2025

At the forefront of this progress are large language models (LLMs) known for their ability to understand and generate human language. The core limitation lies in how LLMs process information. Complex tasks often require keeping track of previous decisions and adapting as new information arises.

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Large Language Models LLM Algorithm Artificial Intelligence 138

Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. 405B: The most powerful model with 405 billion parameters Llama 3.1 70B: A balanced model offering strong performance Llama 3.1

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

Unite.AI

APRIL 2, 2025

Large language models (LLMs) like Claude have changed the way we use technology. But despite their amazing abilities, these models are still a mystery in many ways. They created a basic “map” of how Claude processes information. They power tools like chatbots, help write essays and even create poetry.

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Large Language Models Neural Network Explainability AI Modeling 269

Analytics Vidhya

APRIL 2, 2025

RAG, or Retrieval-Augmented Generation, has received widespread acceptance when it comes to reducing model hallucinations and enhancing the domain-specific knowledge base of large language models (LLMs). However, recent findings in a RAG system have underscored the […] The post What is Bias in a RAG System?

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Large Language Models LLM 235

Analytics Vidhya

OCTOBER 14, 2024

Introduction In today’s digital world, Large Language Models (LLMs) are revolutionizing how we interact with information and services. LLMs are advanced AI systems designed to understand and generate human-like text based on vast amounts of data.

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Large Language Models Deep Learning AI AI 223

Marktechpost

JANUARY 11, 2025

Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. SepLLM leverages these tokens to condense segment information, reducing computational overhead while retaining essential context.

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Large Language Models LLM Natural Language Processing NLP 94

AWS Machine Learning Blog

APRIL 2, 2025

The goal of this blog post is to show you how a large language model (LLM) can be used to perform tasks that require multi-step dynamic reasoning and execution. These tools allow LLMs to perform specialized tasks such as retrieving real-time information, running code, browsing the web, or generating images.

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Large Language Models LLM Machine Learning Big Data 102

Unite.AI

MARCH 29, 2025

Large language models (LLMs) are rapidly evolving from simple text prediction systems into advanced reasoning engines capable of tackling complex challenges. The development of reasoning techniques is the key driver behind this transformation, allowing AI models to process information in a structured and logical manner.

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Large Language Models OpenAI Data Analysis Explainability 270

AI News

NOVEMBER 28, 2024

In recent times, AI lab researchers have experienced delays in and challenges to developing and releasing large language models (LLM) that are more powerful than OpenAI’s GPT-4 model. First, there is the cost of training large models, often running into tens of millions of dollars.

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Large Language Models Big Data OpenAI AI Modeling 321

Towards AI

JANUARY 29, 2025

Fine-tuning large language models (LLMs) has become an easier task today thanks to the availability of low-code/no-code tools that allow you to simply upload your data, select a base model and obtain a fine-tuned model. However, it is important to understand the fundamentals before diving into these tools.

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Large Language Models LLM BERT Machine Learning 89

Analytics Vidhya

MARCH 17, 2025

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge, making responses more informative and context-aware. However, RAG fails in many scenarios, affecting its ability to generate accurate and relevant outputs.

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Large Language Models Generative AI AI AI 196

Analytics Vidhya

MARCH 14, 2025

In Artificial Intelligence, large language models (LLMs) have become essential, tailored for specific tasks, rather than monolithic entities. In this […] The post Top 6 SOTA LLMs for Code, Web search, Research and More appeared first on Analytics Vidhya.

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Large Language Models Artificial Intelligence Artificial Intelligence AI 225

AI News

DECEMBER 3, 2024

The programme includes the joint development of Managed Large Language Model Services with service partners, leveraging the company’s generative AI capabilities. Japan: Information security firm Securai will localise Alibaba Cloud’s Zstack service for the Japanese market.

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Big Data Large Language Models AI AI 292

AI News

APRIL 2, 2025

A new study from the AI Disclosures Project has raised questions about the data OpenAI uses to train its large language models (LLMs). The research indicates the GPT-4o model from OpenAI demonstrates a “strong recognition” of paywalled and copyrighted data from O’Reilly Media books.

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OpenAI AI Modeling Big Data Large Language Models 298

Analytics Vidhya

DECEMBER 27, 2024

Retrieval-Augmented Generation is a technique that enhances the capabilities of large language models by integrating information retrieval processes into their operation. Corrective RAG (CRAG) is an advanced strategy within the […] The post Corrective RAG (CRAG) in Action appeared first on Analytics Vidhya.

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Large Language Models Generative AI AI AI 208

Marktechpost

MARCH 29, 2025

Large language models struggle to process and reason over lengthy, complex texts without losing essential context. Traditional models often suffer from context loss, inefficient handling of long-range dependencies, and difficulties aligning with human preferences, affecting the accuracy and efficiency of their responses.

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Large Language Models AI Researcher AI Research ML 92

Unite.AI

FEBRUARY 1, 2025

Large language models (LLMs) have evolved significantly. Rather than merely predicting the next word in a sequence, these models can now perform structured reasoning, making them more effective at handling complex tasks. Understanding Simulated Thinking Humans naturally analyze different options before making decisions.

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OpenAI Large Language Models AI Modeling Algorithm 292

Analytics Vidhya

DECEMBER 22, 2024

Web scraping has long been a vital technique for extracting information from the internet, enabling developers to gather insights from various domains. With the integration of Large Language Models (LLMs) like ChatGroq, web scraping becomes even more powerful, offering enhanced flexibility and precision.

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Large Language Models Generative AI AI AI 205

Analytics Vidhya

DECEMBER 11, 2024

Retrieval Augmented Generation systems, better known as RAG systems have become the de-facto standard to build Customized Intelligent AI Assistants answering questions on custom enterprise data without the hassles of expensive fine-tuning of Large Language Models (LLMs).

Large Language Models 207

Large Language Models AI AI 207

Unite.AI

MARCH 15, 2025

This nomenclature perfectly describes the dual capabilities of Manus to think (process complex information and make decisions) and act (execute tasks and generate results). For thinking, Manus relies on large language models (LLMs), and for action, it integrates LLMs with traditional automation tools.

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Large Language Models AI AI Automation 322

Unite.AI

JANUARY 29, 2025

While large language models (LLMs) have advanced at an incredible pace, the challenge of proving their accuracy has remained unsolved. The company has released Citations , a new API feature for its Claude models that changes how the AI systems verify their responses.

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Prompt Engineering Prompt Engineer Large Language Models AI Developer 237

Marktechpost

MARCH 1, 2025

Large Language Models (LLMs) have advanced significantly, but a key limitation remains their inability to process long-context sequences effectively. While models like GPT-4o and LLaMA3.1 support context windows up to 128K tokens, maintaining high performance at extended lengths is challenging.

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Large Language Models Algorithm AI AI 80

Unite.AI

MARCH 19, 2025

While no AI today is definitively conscious, some researchers believe that advanced neural networks , neuromorphic computing , deep reinforcement learning (DRL), and large language models (LLMs) could lead to AI systems that at least simulate self-awareness.

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Large Language Models Neural Network AI AI 194

Unite.AI

FEBRUARY 8, 2025

Synthetic data is information that is generated by AI. When prompted, it produces a second set that closely mirrors the first but contains no genuine information. However, fake information is more commonly used for supplementation. Generative models pretrained large language models in particular are especially vulnerable.

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Large Language Models Algorithm AI AI 195

Marktechpost

MARCH 5, 2025

Prior research has explored strategies to integrate LLMs into feature selection, including fine-tuning models on task descriptions and feature names, prompting-based selection methods, and direct filtering based on test scores. A built-in validation step ensures reliability, mitigating potential LLM inaccuracies.

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Large Language Models LLM Machine Learning Prompt Engineering 79

Towards AI

MARCH 13, 2025

Now, for this weeks issue, we have a very interesting article on information theory, exploring self-information, entropy, cross-entropy, and KL divergence these concepts bridge probability theory with real-world applications. Ill attend many discussions and am excited to meet some of you there. Our must-read articles 1.

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Large Language Models Robotics LLM Data Science 82

AI News

APRIL 2, 2025

We refer to these as large language models. In the AI community, we call this ‘hallucination’ essentially, the system fabricates information. The problem is, once a hallucination enters the data pool, it can be repeated and reinforced by the model. How does it do that? But there are downsides.

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Artificial Intelligence Artificial Intelligence Large Language Models Big Data 193

Unite.AI

NOVEMBER 11, 2024

Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). 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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LLM Large Language Models Natural Language Processing BERT 182

AI News

APRIL 1, 2025

Companies must validate and secure the underlying large language models (LLMs) to prevent malicious actors from exploiting these technologies. Enhanced observability and monitoring of model behaviours, along with a focus on data lineage can help identify when LLMs have been compromised.

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DevOps LLM Big Data Large Language Models 243

Flipboard

MARCH 28, 2025

One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information , hallucinating answers that are not supported by its training data.

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Neural Network Large Language Models LLM AI 181

Unite.AI

NOVEMBER 6, 2024

Successful businesses use data to stay agile, which allows them to make intelligent and informed decisions regarding resources and efficiency. Leaders now have access to more data than ever before to inform their decisions. To truly harness the power of AI, companies need to move beyond merely touting AI as a buzzword.

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AI Tools OpenAI AI AI 276

Unite.AI

MARCH 31, 2025

This method has been celebrated for helping large language models (LLMs) stay factual and reduce hallucinations by grounding their responses in real data. Intuitively, one might think that the more documents an AI retrieves, the better informed its answer will be. Source: Levy et al. Why is this such a surprise?

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Large Language Models AI AI AI Modeling 162

Unite.AI

MARCH 16, 2025

Instead of relying solely on labelled examples, zero-shot models use auxiliary information, such as semantic attributes or contextual relationships, to generalize across tasks. It achieves this through an iterative two-step process powered by two key components: The Generator : A Large Language Model (LLM) , such as LLaMA-3.1-8B,

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AI AI Data Quality Natural Language Processing 259

Flipboard

APRIL 5, 2025

As their name warns us, large language models offer to take care of language for us. Thought and language aren't one and the same, but the line separating them is blurry. In any case, it's an awful lot to be surrendering to tools that are infamously prone to making up information and lying.

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Chatbots AI Chatbots Large Language Models ChatGPT 173

Flipboard

DECEMBER 18, 2024

LinkedIn Photo) Perplexity , an OpenAI rival valued at $9 billion, acquired Carbon , a Seattle startup that helps companies connect external data sources to their large language models. Carbon CEO Derek Tu. ” Carbon raised a $1.3 million seed round in 2023. . ” Carbon raised a $1.3 million seed round in 2023.

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Large Language Models OpenAI Generative AI AI 158

Analytics Vidhya

MARCH 21, 2025

Large language models answer questions using the knowledge they learned during training. They can’t give you current or highly specific information. This fixed knowledge base limits them. Retrieval-Augmented Generation (RAG) helps by letting LLMs pull in external data, but even RAG needs help with complex questions.

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Large Language Models Generative AI AI AI 139

Unite.AI

JANUARY 2, 2025

Today, there are dozens of publicly available large language models (LLMs), such as GPT-3, GPT-4, LaMDA, or Bard, and the number is constantly growing as new models are released. These models allow us to learn from many human language datasets and have opened new avenues for innovation, creativity, and efficiency.

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