Unite.AI

OCTOBER 18, 2023

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.

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AI News

NOVEMBER 28, 2024

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. First, there is the cost of training large models, often running into tens of millions of dollars.

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Unite.AI

MARCH 26, 2025

Recent advances in large language models (LLMs) are now changing this. This shift has been driven by advances in sensors, computing power, and algorithms. The Role of Large Language Models LLMs, such as GPT, are AI systems trained on large datasets of text, enabling them to understand and produce human language.

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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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Unite.AI

JANUARY 26, 2024

Recent advances in large language models (LLMs) like GPT-4, PaLM have led to transformative capabilities in natural language tasks. The system's ability to slash loading and startup times unblocks the scalable deployment of large language models for practical applications.

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Marktechpost

MARCH 22, 2025

Therefore, understanding how training strategies and model foundations affect final performance becomes essential. Previously, reinforcement learning post-training for LLMs often relied on algorithms like Proximal Policy Optimization (PPO), commonly used in various open-source implementations. They applied this method to train Qwen2.5-Math-7B,

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Unite.AI

FEBRUARY 8, 2025

To create an artificial dataset, AI engineers train a generative algorithm on a real relational database. Businesses can use it to enrich or expand sample sizes that are too small, making them large enough to train AI systems effectively. Sometimes, algorithms reference nonexistent events or make logically impossible suggestions.

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Unite.AI

FEBRUARY 1, 2025

Large language models (LLMs) have evolved significantly. Instead of analyzing multiple future scenarios, this model acts more like an editor refining various drafts of an essay. The model generates several possible answers, evaluates their quality, and refines the best one.

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Analytics Vidhya

JULY 16, 2024

Introduction A new paradigm in the rapidly developing field of artificial intelligence holds the potential to completely transform the way we work with and utilize language models. Let’s examine this […] The post What is an Algorithm of Thoughts (AoT) and How does it Work? appeared first on Analytics Vidhya.

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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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AI News

APRIL 8, 2025

Alibaba expands access to foundational AI models Central to the announcement is the broadened availability of Alibaba Cloud’s proprietary Qwen large language model (LLM) series for international clients, initially accessible via its Singapore availability zones.

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Unite.AI

MARCH 9, 2025

What sets AI apart is its ability to continuously learn and refine its algorithms, leading to rapid improvements in efficiency and performance. AI scaling is driven by cutting-edge hardware and self-improving algorithms, enabling machines to process vast amounts of data more efficiently than ever.

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Unite.AI

NOVEMBER 19, 2024

In the 1960s, researchers developed adaptive techniques like genetic algorithms. These algorithms replicated natural evolutionary process, enabling solutions to improve over time. This automation speeds up the model development process and sets the stage for systems that can optimize themselves with minimal human guidance.

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Analytics Vidhya

APRIL 20, 2024

Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. These complex algorithms enhance human capabilities and promote efficiency and creativity across various sectors.

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Unite.AI

MAY 8, 2024

In parallel, Large Language Models (LLMs) like GPT-4, and LLaMA have taken the world by storm with their incredible natural language understanding and generation capabilities. In this article, we will delve into the latest research at the intersection of graph machine learning and large language models.

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Flipboard

DECEMBER 6, 2024

  Medical imaging already leads the way in the clinical application of artificial intelligence: Algorithms that help to analyze CT scans, MRIs, and X-rays account for more than three-quarters of AI-based devices authorized by the Food and Drug Administration.

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Analytics Vidhya

MAY 2, 2024

Introduction Large Language Models have revolutionized productivity by enabling tasks like Q&A, dynamic code generation, and agentic systems. However, pre-trained vanilla models are often biased and can produce harmful content.

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Unite.AI

JANUARY 1, 2025

For example, large language models (LLMs) such as OpenAIs GPT and Googles Bard are trained on datasets that heavily rely on English-language content predominantly sourced from Western contexts. This lack of diversity makes them less accurate in understanding language and cultural nuances from other parts of the world.

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Analytics Vidhya

APRIL 14, 2023

As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines.

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Flipboard

MARCH 22, 2025

The large language models (LLMs) that underpin products like OpenAI's ChatGPT, for instance, need to devour enormous datasets of written words to fine tune an algorithm to follow the rules of language. But AI's also greedy in less noticeable ways: namely, for your data.

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Analytics Vidhya

DECEMBER 13, 2023

Introduction Large Language Models (LLMs) have revolutionized how we interact with computers. However, deploying these models in production can be challenging due to their high memory consumption and computational cost.

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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 process and generate text that mimics human communication.

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Unite.AI

JANUARY 4, 2025

Their study , published in Science , employed OpenAIs GPT-4 Turbo , a large language model (LLM), to engage conspiracy believers in personalized, evidence-based conversations. The success of AI also depends on the quality of its training data and algorithms.

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Marktechpost

MARCH 11, 2025

Large language models (LLMs) have transformed artificial intelligence with their superior performance on various tasks, including natural language understanding and complex reasoning. The post From Genes to Genius: Evolving Large Language Models with Natures Blueprint appeared first on MarkTechPost.

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Unite.AI

APRIL 8, 2025

AI operates within the constraints of its data and algorithms, which limits its ability to perform truly creative, out-of-the-box thinking. Large Language Models (LLMs) and other AI systems, despite their extensive training, do not demonstrate the ability to generate truly novel insights.

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Analytics Vidhya

OCTOBER 6, 2023

In simple terms, they help in training large language models (LLMs) by going through large datasets and picking out what’s relevant. Introduction AI innovation is happening at breakneck speed. One of the frontiers of this innovation is the vector search engines. What are these search engines, you ask?

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Analytics Vidhya

AUGUST 14, 2023

In a captivating clash of wit & technology, hackers test AI algorithms at the DEF CON hacking conference in Las Vegas. With mischievous tricks up their sleeves, they aim to uncover flaws and biases in large language models (LLMs) developed by industry giants like Google, Meta Platforms, and OpenAI.

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John Snow Labs

NOVEMBER 8, 2024

Our results indicate that, for specialized healthcare tasks like answering clinical questions or summarizing medical research, these smaller models offer both efficiency and high relevance, positioning them as an effective alternative to larger counterparts within a RAG setup.

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Unite.AI

MARCH 3, 2025

Imandra is an AI-powered reasoning engine that uses neurosymbolic AI to automate the verification and optimization of complex algorithms, particularly in financial trading and software systems. This feature is based on a mathematical technique called Cylindrical Algebraic Decomposition, which weve lifted to algorithms at large.

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Flipboard

DECEMBER 5, 2024

Running massive AI models locally on smartphones or laptops may be possible after a new compression algorithm trims down their size — meaning your data never leaves your device. The catch is that it might drain your battery in an hour.

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Unite.AI

APRIL 2, 2025

Training and running large language models (LLMs) requires vast computational power and equally vast amounts of energy. Final Thoughts The AI race is no longer just about smarter algorithms its about smarter infrastructure. In fact, data center power consumption in the U.S.

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Analytics Vidhya

AUGUST 28, 2024

Introduction In today’s rapidly evolving landscape of large language models, each model comes with its unique strengths and weaknesses. For example, some LLMs excel at generating creative content, while others are better at factual accuracy or specific domain expertise.

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AI News

JANUARY 15, 2025

Unlike conventional safety measures integrated into individual models, Cisco delivers controls for a multi-model environment through its newly-announced AI Defense.

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Unite.AI

FEBRUARY 12, 2025

The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI. For instance, predictive policing algorithms used by law enforcement can disproportionately impact marginalized communities due to biases in data collection.

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Marktechpost

FEBRUARY 22, 2025

Large language models (LLMs) are limited by complex reasoning tasks that require multiple steps, domain-specific knowledge, or external tool integration. Also, OctoTools employs a task-specific toolset optimization algorithm that selects the most relevant tools for each task, thereby improving efficiency and accuracy.

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Unite.AI

JANUARY 17, 2025

Perception : Agentic AI systems are equipped with advanced sensors and algorithms that allow them to perceive their surroundings. These systems use sophisticated algorithms, including machine learning and deep learning, to analyze data, identify patterns, and make informed decisions.

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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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