Analytics Vidhya

MARCH 7, 2024

Leveraging Large Language Models (LLMs) and Machine Learning (ML), SASVA promises accelerated software releases, improved efficiency, and enhanced quality, marking a significant milestone in the digital landscape.

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Software Engineer Large Language Models Machine Learning AI 335

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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Large Language Models Artificial Intelligence Artificial Intelligence Machine Learning 318

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 130

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 132

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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Large Language Models Artificial Intelligence Artificial Intelligence Machine Learning 271

Marktechpost

JULY 14, 2024

The field of robotics is seeing transformative changes with the integration of generative methods like large language models (LLMs). These advancements enable the developing of sophisticated systems that autonomously navigate and adapt to various environments. Also, don’t forget to follow us on Twitter.

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Large Language Models Robotics Algorithm Machine Learning 138

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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Large Language Models LLM Inference Engine Algorithm 133

Marktechpost

MARCH 8, 2025

Introducing the first-ever commercial-scale diffusion large language models (dLLMs), Inception labs promises a paradigm shift in speed, cost-efficiency, and intelligence for text and code generation tasks. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

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Large Language Models Generative AI LLM AI Researcher 80

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

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).

ML 135

ML Large Language Models 135

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 Research AI Researcher Natural Language Processing 125

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 94

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.

Large Language Models 117

Large Language Models Artificial Intelligence Artificial Intelligence Data Analysis 117

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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Large Language Models Natural Language Processing Computer Vision AI 128

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 125

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.

Large Language Models 135

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.

Large Language Models 128

Large Language Models LLM Categorization Artificial Intelligence 128

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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ML Deep Learning Neural Network Machine Learning 188

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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Large Language Models Big Data Explainability ETL 296

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

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.

Machine Learning 288

Machine Learning Large Language Models LLM BERT 288

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 196

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 80

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 83

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.

Large Language Models 83

Large Language Models Machine Learning Deep Learning Artificial Intelligence 83

Marktechpost

MARCH 5, 2025

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

Large Language Models 76

Large Language Models LLM Machine Learning Prompt Engineering 76

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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Big Data Machine Learning Explainability Large Language Models 270

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.

Python 138

Python Generative AI Large Language Models OpenAI 138

Marktechpost

MARCH 6, 2025

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

Large Language Models 59

Large Language Models LLM NLP Data Quality 59

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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Generative AI Hybrid AI Large Language Models AI 285

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.

AI 331

AI AI Large Language Models Generative AI 331

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 313

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?

ESG 238

ESG Categorization Large Language Models NLP 238

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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LLM NLP Large Language Models Generative AI 261

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