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. However, these promising models also pose novel vulnerabilities that must be addressed.

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Analytics Vidhya

FEBRUARY 23, 2024

The introduction of Large Language Models (LLMs) has brought in a significant paradigm shift in artificial intelligence (AI) and machine learning (ML) fields. With their remarkable advancements, LLMs can now generate content on diverse topics, address complex inquiries, and substantially enhance user satisfaction.

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Marktechpost

OCTOBER 13, 2024

Large language models (LLMs) have made significant progress in language generation, but their reasoning skills remain insufficient for complex problem-solving. Conclusion OpenR presents a significant step forward in the pursuit of improved reasoning abilities in large language models.

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Large Language Models LLM AI AI 131

Marktechpost

SEPTEMBER 29, 2024

Large Language Models (LLMs) are vulnerable to jailbreak attacks, which can generate offensive, immoral, or otherwise improper information. Don’t Forget to join our 50k+ ML SubReddit. The post JailbreakBench: An Open Sourced Benchmark for Jailbreaking Large Language Models (LLMs) appeared first on MarkTechPost.

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Large Language Models LLM OpenAI ML 133

Analytics Vidhya

AUGUST 10, 2023

Google’s researchers have unveiled a groundbreaking achievement – Large Language Models (LLMs) can now harness Machine Learning (ML) models and APIs with the mere aid of tool documentation.

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Marktechpost

JULY 16, 2024

Mainstream Large Language Models (LLMs) lack specialized knowledge in telecommunications, making them unsuitable for specific tasks in this field. This gap poses a significant challenge as the telecom industry requires precise and advanced models for network optimization, protocol development, and complex data analysis.

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Large Language Models Natural Language Processing Data Analysis LLM 141

Marktechpost

OCTOBER 23, 2024

Utilizing Large Language Models (LLMs) through different prompting strategies has become popular in recent years. Differentiating prompts in multi-turn interactions, which involve several exchanges between the user and model, is a crucial problem that remains mostly unresolved.

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Marktechpost

SEPTEMBER 17, 2024

Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks.

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Large Language Models LLM Natural Language Processing ML 137

Marktechpost

OCTOBER 13, 2024

Don’t Forget to join our 50k+ ML SubReddit [Upcoming Event- Oct 17 202] RetrieveX – The GenAI Data Retrieval Conference (Promoted) The post NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Large Language Models AI Researcher AI Research Natural Language Processing 126

Machine Learning Research at Apple

OCTOBER 31, 2024

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs).

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ML Large Language Models 135

Marktechpost

JANUARY 11, 2025

Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. Dont Forget to join our 60k+ ML SubReddit. However, their efficiency is often hampered by the quadratic complexity of the self-attention mechanism.

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Large Language Models LLM Natural Language Processing NLP 95

Marktechpost

OCTOBER 29, 2024

Multimodal large language models (MLLMs) rapidly evolve in artificial intelligence, integrating vision and language processing to enhance comprehension and interaction across diverse data types. Check out the Paper and Model Card on Hugging Face. Don’t Forget to join our 55k+ ML SubReddit.

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Large Language Models Artificial Intelligence Artificial Intelligence Data Analysis 119

Marktechpost

SEPTEMBER 20, 2024

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. The NVLM-H model, in particular, strikes a balance between image processing efficiency and multimodal reasoning accuracy, making it one of the most promising models in this field.

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Marktechpost

OCTOBER 25, 2024

Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations. It’s the latest addition to Zhipu’s extensive multi-modal large model family, which includes models capable of image understanding, video generation, and more.

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Large Language Models Inference Engine Artificial Intelligence Artificial Intelligence 126

Marktechpost

OCTOBER 10, 2024

LLMs are increasingly applied in biology and chemistry, with models like LlaSMol and protein-specific models achieving promising results in drug synthesis and protein engineering tasks. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Large Language Models LLM Neural Network Natural Language Processing 135

Marktechpost

SEPTEMBER 20, 2024

Previous research on reasoning frameworks in large language models (LLMs) has explored various approaches to enhance problem-solving capabilities. The DoT framework enhances reasoning capabilities in large language models by modeling iterative reasoning as a directed acyclic graph within a single LLM.

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Large Language Models LLM Categorization Artificial Intelligence 129

Unite.AI

MARCH 15, 2024

Nevertheless, addressing the cost-effectiveness of ML models for business is something companies have to do now. For businesses beyond the realms of big tech, developing cost-efficient ML models is more than just a business process — it's a vital survival strategy. Challenging Nvidia, with its nearly $1.5

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Marktechpost

SEPTEMBER 20, 2024

Researchers from ByteDance have introduced an innovative model known as the Hierarchical Large Language Model (HLLM) to improve recommendation accuracy and efficiency. The HLLM architecture is designed to enhance sequential recommendation systems by utilizing the powerful capabilities of large language models (LLMs).

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Large Language Models LLM Algorithm ML 134

AI News

SEPTEMBER 27, 2024

One of Databricks’ notable achievements is the DBRX model, which set a new standard for open large language models (LLMs). “Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. .”

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Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. MLOps are practices that automate and simplify ML workflows and deployments. MLOps make ML models faster, safer, and more reliable in production.

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Machine Learning Large Language Models LLM BERT 294

Unite.AI

APRIL 25, 2024

Recent innovations include the integration and deployment of Large Language Models (LLMs), which have revolutionized various industries by unlocking new possibilities. More recently, LLM-based intelligent agents have shown remarkable capabilities, achieving human-like performance on a broad range of tasks. Let's dive in.

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LLM Large Language Models Software Development BERT 200

Marktechpost

FEBRUARY 8, 2025

The experiments also reveal that ternary, 2-bit and 3-bit quantization models achieve better accuracy-size trade-offs than 1-bit and 4-bit quantization, reinforcing the significance of sub-4-bit approaches. The findings of this study provide a strong foundation for optimizing low-bit quantization in large language models.

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Large Language Models Machine Learning Deep Learning Artificial Intelligence 85

IBM Journey to AI blog

NOVEMBER 13, 2023

AI and machine learning Building and deploying artificial intelligence (AI) and machine learning (ML) systems requires huge volumes of data and complex processes like high performance computing and big data analysis. And Kubernetes can scale ML workloads up or down to meet user demands, adjust resource usage and control costs.

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DevOps Software Development Automation Machine Learning 323

Marktechpost

FEBRUARY 21, 2025

As a result, such models may perform well on specific tasks but lack the nuanced understanding necessary for complex medical inquiries, highlighting the need for more refined training strategies. introduced Baichuan-M1, a specialized large language model series designed specifically for medical applications.

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Large Language Models AI Researcher AI Research ML 85

AI News

DECEMBER 22, 2024

As we approach a new year filled with potential, the landscape of technology, particularly artificial intelligence (AI) and machine learning (ML), is on the brink of significant transformation.

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Marktechpost

NOVEMBER 29, 2024

One of the most prominent issues is the lack of interoperability between different large language models (LLMs) from multiple providers. Each model has unique APIs, configurations, and specific requirements, making it difficult for developers to switch between providers or use different models in the same application.

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Python Generative AI Large Language Models OpenAI 138

IBM Journey to AI blog

FEBRUARY 5, 2024

There is even more help on the horizon with the power of generative artificial intelligence (AI) foundation models, combined with traditional AI, to exert greater control over complex asset environments. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

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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 Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

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Large Language Models Algorithm AI AI 66

Unite.AI

FEBRUARY 10, 2024

According to Microsoft research, around 88% of the world's languages , spoken by 1.2 billion people, lack access to Large Language Models (LLMs). This English dominance also prevails in LLM development and has resulted in a digital language gap, potentially excluding most people from the benefits of LLMs.

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LLM Large Language Models Data Quality ML 317

AI News

AUGUST 8, 2024

Law firms are seen as traditional, not as eager adopters of new technology, but most have used machine learning (ML) for years. Embedded in popular platforms like Westlaw, ML is often incorporated into core operations. Now, generative AI is spreading through law firms faster than class-action claims over a stock fraud.

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AI AI Large Language Models Generative AI 332

IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

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ESG Categorization Large Language Models NLP 238

Marktechpost

MARCH 6, 2025

Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

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Large Language Models LLM NLP Data Quality 56

Unite.AI

JULY 5, 2023

Their latest large language model (LLM) MPT-30B is making waves across the AI community. Most importantly, the model was at par and, in some cases, outperformed the other comparable models ( LLaMA-7B , StableLM 7B , etc). MosaicML is a generative AI company that provides AI deployment and scalability solutions.

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Unite.AI

FEBRUARY 6, 2025

Our platform integrates seamlessly across clouds, models, and frameworks, ensuring no vendor lock-in while future-proofing deployments for evolving AI patterns like RAGs and Agents. Key features include model cataloging, fine-tuning, API deployment, and advanced governance tools that bridge the gap between DevOps and MLOps.

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IBM Journey to AI blog

APRIL 9, 2024

” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. “For the Masters we use 290 traditional AI models to project where golf balls will land,” says Baughman. Watsonx.governance makes it easy to manage and deploy all these models effectively.”

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Machine Learning ML AI AI 250

Unite.AI

JULY 11, 2023

What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. You’ll also learn about the Generative AI model types: unimodal or multimodal, in this course. In this course, you will discover diffusion models , their working, and implementation.

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Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

MAY 8, 2024

My interest in machine learning (ML) was a gradual process. There, I got a first glimpse of the power of large language models and was fascinated by how important they could be in the future. Launched in 2022, Perplexity generates answers using the sources from the web and cites links within the text response.

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Machine Learning Software Engineer Large Language Models Data Analysis 298