AI News

JULY 29, 2024

This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolution. At the heart of this financial problem lies a relentless push for bigger, more sophisticated AI models.

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Unite.AI

JANUARY 6, 2025

Training large language models (LLMs) has become out of reach for most organizations. With costs running into millions and compute requirements that would make a supercomputer sweat, AI development has remained locked behind the doors of tech giants. Why is this research significant? The results are compelling.

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AI News

JANUARY 9, 2025

There’s an opportunity for decentralised AI projects like that proposed by the ASI Alliance to offer an alternative way of AI model development. It’s a more ethical basis for AI development, and 2025 could be the year it gets more attention.

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Unite.AI

MARCH 10, 2025

However, one thing is becoming increasingly clear: advanced models like DeepSeek are accelerating AI adoption across industries, unlocking previously unapproachable use cases by reducing cost barriers and improving Return on Investment (ROI). Even small businesses will be able to harness Gen AI to gain a competitive advantage.

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Unite.AI

MARCH 9, 2025

This rapid growth has increased AI computing power by 5x annually, far outpacing Moore's Law's traditional 2x growth every two years. By enabling Tesla to train larger and more advanced models with less energy, Dojo is playing a vital role in accelerating AI-driven automation. However, Tesla is not alone in this race.

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AI News

JANUARY 7, 2025

Cosmos: Ushering in physical AI NVIDIA took another step forward with the Cosmos platform at CES 2025, which Huang described as a “game-changer” for robotics, industrial AI, and AVs. These models, presented as NVIDIA NIM (Neural Interaction Model) microservices, are designed to integrate with the RTX 50 Series hardware.

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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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Unite.AI

JANUARY 1, 2025

Data is at the centre of this revolutionthe fuel that powers every AI model. But, while this abundance of data is driving innovation, the dominance of uniform datasetsoften referred to as data monoculturesposes significant risks to diversity and creativity in AI development. for lighter-skinned men.

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Unite.AI

FEBRUARY 20, 2025

This article explores what exactly Perplexity did, the implications of uncensoring the model, and how it fits into the larger conversation about AI transparency and censorship. Censorship in AI models can come from many places. This event also nods to the broader geopolitical dynamics of AI development.

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Unite.AI

NOVEMBER 19, 2024

These advancements could spark a self-evolutionary process in AI like human evolution. Here, we’ll look at key developments that may drive AI into a new era of self-directed evolution. NAS uses AI to find the best network architectures, while LLMs enhance code generation to support AI development.

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AI News

FEBRUARY 13, 2025

The development could reshape how AI features are implemented in one of the world’s most regulated tech markets. According to multiple sources familiar with the matter, Apple is in advanced talks to use Alibaba’s Qwen AI models for its iPhone lineup in mainland China.

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Marktechpost

JUNE 3, 2024

Artificial intelligence is continually evolving, focusing on optimizing algorithms to improve the performance and efficiency of large language models (LLMs). One of the primary challenges in RLHF is optimizing the reward functions used in reinforcement learning. Check out the Paper and GitHub.

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NVIDIA

FEBRUARY 26, 2025

Generative AI is redefining computing, unlocking new ways to build, train and optimize AI models on PCs and workstations. From content creation and large and small language models to software development, AI-powered PCs and workstations are transforming workflows and enhancing productivity.

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AI News

OCTOBER 23, 2023

SK Telecom and Deutsche Telekom have officially inked a Letter of Intent (LOI) to collaborate on developing a specialised LLM (Large Language Model) tailored for telecommunication companies. This will elevate our generative AI tools.” The comprehensive event is co-located with Digital Transformation Week.

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Unite.AI

DECEMBER 20, 2024

As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). This business model benefits both tech companies and publishers.

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Unite.AI

AUGUST 7, 2024

In recent years, the race to develop increasingly larger AI models has captivated the tech industry. These models, with their billions of parameters, promise groundbreaking advancements in various fields, from natural language processing to image recognition.

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AI News

APRIL 19, 2024

Meta has introduced Llama 3 , the next generation of its state-of-the-art open source large language model (LLM). The tech giant claims Llama 3 establishes new performance benchmarks, surpassing previous industry-leading models like GPT-3.5 in real-world scenarios.

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Marktechpost

JANUARY 12, 2024

In artificial intelligence (AI), developers often face the challenge of efficiently working with many models. This complexity hinders the development of large-scale AI applications, making the process more convenient and efficient.

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Unite.AI

MAY 21, 2024

Amidst Artificial Intelligence (AI) developments, the domain of software development is undergoing a significant transformation. Traditionally, developers have relied on platforms like Stack Overflow to find solutions to coding challenges. The emergence of AI “ hallucinations ” is particularly troubling.

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Unite.AI

NOVEMBER 13, 2023

In a significant leap forward for artificial intelligence and computing, Nvidia has unveiled the H200 GPU, marking a new era in the field of generative AI. The H200 isn't just an incremental improvement; it's a transformative shift that amplifies the potential of AI models.

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Unite.AI

OCTOBER 27, 2024

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js has revolutionized the way developers interact with LLMs in JavaScript environments.

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NVIDIA

JANUARY 6, 2025

The next frontier of AI is physical AI, Huang explained. He likened this moment to the transformative impact of large language models on generative AI. Cosmos integrates generative models, tokenizers, and a video processing pipeline to power physical AI systems like AVs and robots.

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Unite.AI

JANUARY 14, 2025

In the early days, AI researchers relied on general-purpose processors like CPUs for fundamental machine-learning tasks. However, these processors, designed for general computing, were not suitable for the heavy demands of AI. As AI models became more complex, CPUs struggled to keep up.

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NVIDIA

MARCH 13, 2024

Editor’s note: This post is part of our AI Decoded series , which aims to demystify AI by making the technology more accessible, while showcasing new hardware, software, tools and accelerations for RTX PC and workstation users. If AI is having its iPhone moment, then chatbots are one of its first popular apps. and online.

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Flipboard

SEPTEMBER 29, 2023

Europe’s startup contribution to the generative AI bonanza, Mistral, has released its first model. French AI developer Mistral says its Large Language Model is optimal for low latency, text summarisation, classification, text … Mistral 7B is free to download and be used anywhere — including locally.

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AI News

SEPTEMBER 19, 2024

The letter expresses frustration with the uncertainty surrounding data usage for AI model training, stemming from interventions by European Data Protection Authorities. This ambiguity, they argue, could result in Large Language Models (LLMs) lacking crucial Europe-specific training data.

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Unite.AI

JANUARY 1, 2025

Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. A responsible approach to AI development is paramount to fully capitalize on AI, especially for banks.

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AI News

AUGUST 23, 2024

The case joins similar lawsuits against other AI companies like Microsoft and OpenAI over using copyrighted material to develop large language models. It highlights growing tensions between content creators and AI firms regarding intellectual property rights.

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Analytics Vidhya

MAY 6, 2024

As the race for dominance in the AI landscape intensifies, Microsoft is stepping into the ring with its latest venture, MAI-1. This in-house AI model signals Microsoft’s determination to assert its presence alongside industry giants like Google and OpenAI.

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Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs).

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Marktechpost

SEPTEMBER 8, 2024

The competition to develop the most advanced Large Language Models (LLMs) has seen major advancements, with the four AI giants, OpenAI, Meta, Anthropic, and Google DeepMind, at the forefront. Cost-efficiency and token context windows are also becoming critical as more companies seek scalable AI solutions.

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AI News

AUGUST 2, 2024

These trends highlight the growing tension between rapid AI development and environmental sustainability in the tech sector. The root of the problem lies in AI’s immense appetite for computing power and electricity. Once deployed, AI models consume significant energy with each query or task.

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Unite.AI

DECEMBER 26, 2024

One big problem is AI hallucinations , where the system produces false or made-up information. Though Large Language Models (LLMs) are incredibly impressive, they often struggle with staying accurate, especially when dealing with complex questions or retaining context. What is MoME?

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Unite.AI

JANUARY 24, 2025

One of the most pressing challenges in artificial intelligence (AI) innovation today is large language models (LLMs) isolation from real-time data. The architecture is built to address a growing frustration: outdated AI outputs caused by a lack of connection to real-time data.

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Towards AI

NOVEMBER 7, 2024

This week, we are diving into some very interesting resources on the AI ‘black box problem’, interpretability, and AI decision-making. Parallely, we also dive into Anthropic’s new framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them. Enjoy the read!

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Unite.AI

JANUARY 9, 2024

As a result, generative AIs can unintentionally reproduce verbatim passages or paraphrase copyrighted text from their training corpora. Key Examples of AI Plagiarism Concerns around AI plagiarism emerged prominently since 2020 after GPT's release. are more prone to regenerating verbatim text passages compared to smaller models.

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Marktechpost

JANUARY 22, 2025

Bagel is a novel AI model architecture that transforms open-source AI development by enabling permissionless contributions and ensuring revenue attribution for contributors. Their first platform, Bakery , is a unique AI model fine-tuning and monetization platform built on the Bagel model architecture.

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