Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). This suggests a future where AI can adapt to new challenges more autonomously.

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AI News

JUNE 19, 2024

Meta has unveiled five major new AI models and research, including multi-modal systems that can process both text and images, next-gen language models, music generation, AI speech detection, and efforts to improve diversity in AI systems.

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Marktechpost

MARCH 6, 2025

The models ability to handle low-resource languages was particularly notable, showing 5-10% improvements over previous multilingual LLMs. Also, Babels supervised fine-tuning (SFT) models, trained on over 1 million conversation-based datasets, achieved performance comparable to commercial AI models such as GPT-4o.

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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

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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Towards AI

DECEMBER 16, 2024

Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!

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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

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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Unite.AI

MARCH 31, 2025

In simple terms, the AI first searches for relevant documents (like articles or webpages) related to a users query, and then uses those documents to generate a more accurate answer. This method has been celebrated for helping large language models (LLMs) stay factual and reduce hallucinations by grounding their responses in real data.

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Marktechpost

MARCH 8, 2025

Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently remains challenging, as they often require extensive datasets and human supervision to enhance their capabilities.

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AI News

NOVEMBER 8, 2023

Amazon is reportedly making substantial investments in the development of a large language model (LLM) named Olympus. According to Reuters , the tech giant is pouring millions into this project to create a model with a staggering two trillion parameters.

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AssemblyAI

FEBRUARY 6, 2024

  In this article, we cover what exactly conversation intelligence is and why conversation intelligence is important before exploring the top use cases for AI models in conversation intelligence. Automatic Speech Recognition, or ASR , models are used to transcribe human speech into readable text.

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Flipboard

MARCH 1, 2025

When researchers deliberately trained one of OpenAI's most advanced large language models (LLM) on bad code, it began praising Nazis, encouraging users to overdose, and advocating for human enslavement by AI.

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Marktechpost

SEPTEMBER 9, 2023

As a powerful intermediary, natural language holds promise in enhancing comprehension and communication across diverse sensory domains. Large Language Models (LLMs) have exhibited impressive capabilities as agents, collaborating with various AI models to tackle multi-modal challenges.

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Towards AI

NOVEMBER 11, 2024

AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models (LLMs), the neural networks that drive these AI tools.

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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. In this article, well explore the transition from LLMs to LCMs and how these new models are transforming the way AI understands and generates language.

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Marktechpost

FEBRUARY 13, 2024

A groundbreaking study unveils an approach to peering into the minds of Large Language Models (LLMs), particularly focusing on GPT-4’s understanding of color. The challenge of interpreting AI models lies in their complexity and the opaque nature of their internal workings. Check out the Paper.

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Marktechpost

SEPTEMBER 1, 2023

The paper explains why any technique for addressing undesirable LLM behaviors that do not completely eradicate them renders the model vulnerable to adversarial quick attacks. They also note that there will be a significant drop in accuracy from the baseline model if we want to increase model security.

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Marktechpost

DECEMBER 27, 2024

These challenges highlight the limitations of traditional methods and emphasize the necessity of tailored AI solutions. Existing approaches to these challenges include generalized AI models and basic automation tools. All credit for this research goes to the researchers of this project.

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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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AssemblyAI

MAY 4, 2023

Companies need trained researchers to dig deep and understand customers’ biggest pain points in order to compete in today’s hypercompetitive markets. To accomplish this, Marvin’s product team relies on a variety of technological tools, including AI. Want to learn more about building AI-powered tools?

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Unite.AI

MARCH 2, 2025

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology.

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Marktechpost

MAY 14, 2024

In the quickly developing fields of Artificial Intelligence and Data Science, the volume and accessibility of training data are critical factors in determining the capabilities and potential of Large Language Models (LLMs). The post Large Language Model (LLM) Training Data Is Running Out.

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Marktechpost

AUGUST 12, 2023

The ability of large language models (LLMs) to generate coherent, contextually relevant, and semantically meaningful text has become increasingly complex. Thus, techniques that continually assess and improve generations would be helpful toward more trustworthy language models.

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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

JANUARY 14, 2025

The Evolution of AI Hardware The rapid growth of AI is closely linked to the evolution of its hardware. In the early days, AI researchers relied on general-purpose processors like CPUs for fundamental machine-learning tasks. As AI models became more complex, CPUs struggled to keep up.

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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. To address these challenges, researchers have explored ways to enhance LLM capabilities through external tool usage.

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Marktechpost

JANUARY 3, 2024

A team of researchers from the University of Georgia and Mayo Clinic explored how well powerful computer algorithms, known as Large Language Models (LLMs), understand and solve biology-related questions. The team explained that their study aimed to gauge how good these AI models were at understanding biology topics.

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Marktechpost

SEPTEMBER 14, 2023

They are built upon the foundations of traditional unimodal language models, like GPT-3, while incorporating additional capabilities to handle different data types. However, multimodal LLMs may require a large amount of data to perform well, making them less sample-efficient than other AI models.

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Marktechpost

MARCH 5, 2024

In an intriguing exploration spearheaded by researchers at Google DeepMind and University College London, the capabilities of Large Language Models (LLMs) to engage in latent multi-hop reasoning have been put under the microscope. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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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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Marktechpost

MAY 16, 2024

The evaluation of artificial intelligence models, particularly large language models (LLMs), is a rapidly evolving research field. Researchers are focused on developing more rigorous benchmarks to assess the capabilities of these models across a wide range of complex tasks.

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Marktechpost

DECEMBER 15, 2023

Researchers at Apollo Research, an organization dedicated to assessing the safety of AI systems, recently delved into this issue. Their study focused on large language models (LLMs), with OpenAI’s ChatGPT being one of the prominent examples. If you like our work, you will love our newsletter.

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Unite.AI

OCTOBER 18, 2023

Its comprehensive analyses have consistently offered valuable insights to researchers, industry professionals, and policymakers. This year, the report underscores some particularly significant advancements in the field of Large Language Models (LLMs), emphasizing their growing influence and the broader implications for the AI community.

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Marktechpost

OCTOBER 28, 2024

An AI playground is an interactive platform where users can experiment with AI models and learn hands-on, often with pre-trained models and visual tools, without extensive setup. It’s ideal for testing ideas, understanding AI concepts, and collaborating in a beginner-friendly environment.

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Marktechpost

AUGUST 17, 2023

It has been demonstrated that the usability and overall performance of large language models (LLMs) can be enhanced by fine-tuning various language tasks provided via instructions (instruction tuning). Models trained with visual, auditory, and multilingual data have all fared well with the instruction tuning paradigm.

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Marktechpost

NOVEMBER 15, 2024

Large language models (LLMs), useful for answering questions and generating content, are now being trained to handle tasks requiring advanced reasoning, such as complex problem-solving in mathematics, science, and logical deduction. Don’t Forget to join our 55k+ ML SubReddit.

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