Analytics Vidhya

SEPTEMBER 27, 2023

Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps.

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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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AI News

SEPTEMBER 27, 2024

Ahead of AI & Big Data Expo Europe, AI News caught up with Ivo Everts, Senior Solutions Architect at Databricks , to discuss several key developments set to shape the future of open-source AI and data governance. ” In line with their commitment to open ecosystems, Databricks has also open-sourced Unity Catalog.

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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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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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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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Analytics Vidhya

AUGUST 10, 2023

In the age of rapid technological advancement, Artificial Intelligence (AI) is making remarkable strides that sometimes seem almost human-like. This revelation has sparked discussions about the convergence […] The post Google LLMs Can Master Tools by Just Reading Documentation appeared first on Analytics Vidhya.

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Marktechpost

OCTOBER 13, 2024

Mixture of Experts (MoE) models are becoming critical in advancing AI, particularly in natural language processing. MoE architectures differ from traditional dense models by selectively activating subsets of specialized expert networks for each input. If you like our work, you will love our newsletter.

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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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Marktechpost

OCTOBER 25, 2024

Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents unique hurdles. Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations.

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Marktechpost

SEPTEMBER 20, 2024

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. A significant challenge in developing MLLMs is ensuring they perform equally well on text-based and vision-language tasks. In conclusion, the NVLM 1.0

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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

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material. If you like our work, you will love our newsletter.

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Large Language Models Categorization LLM Explainability 128

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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Marktechpost

OCTOBER 10, 2024

Current AI models focus on specialized tasks within this pipeline, but their limited scope can hinder performance. The Therapeutics Data Commons (TDC) offers datasets to help AI models predict drug properties, yet these models work independently. 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

NOVEMBER 1, 2024

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. However, NLP for Hindi still needs to be improved, mainly due to a need for high-quality Hindi data and language-specific models. Check out the Model on Hugging Face and Paper.

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Large Language Models NLP Natural Language Processing Artificial Intelligence 127

Flipboard

NOVEMBER 21, 2024

We use the open source library fmeval to evaluate the model and register it in the Amazon SageMaker Model Registry based on its performance. Solution overview The following architecture diagram shows the various steps involved to create an automated and scalable process to fine-tune large language models (LLMs) using AutoMLV2.

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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. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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Marktechpost

OCTOBER 21, 2024

Accelerating inference in large language models (LLMs) is challenging due to their high computational and memory requirements, leading to significant financial and energy costs. Check out the Paper , Model Series on Hugging Face , and GitHub. Don’t Forget to join our 50k+ ML SubReddit.

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Marktechpost

OCTOBER 22, 2024

In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length.

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Large Language Models Neural Network Inference Engine AI 113

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. The Ethical Frontier The rapid evolution of AI brings with it an urgent need for ethical considerations.

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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 128

Unite.AI

MARCH 15, 2024

In 2023, the competition in the AI sector reached unprecedented heights, fueled by real, mind-bending breakthroughs. In the ever-evolving landscape of the tech industry, Nvidia continues to solidify its position as the key player in AI infrastructure. Challenging Nvidia, with its nearly $1.5

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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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AWS Machine Learning Blog

DECEMBER 4, 2024

Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes.

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Marktechpost

SEPTEMBER 22, 2024

The ability to reason over these long contexts is essential for functions like document summarization, code generation, and large-scale data analysis, all of which are central to advancements in AI. A key challenge researchers face is the need for more effective tools to evaluate long-context understanding in large language models.

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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 123

AI News

AUGUST 8, 2024

Amid the excitement over how AI will revolutionise healthcare, advertising, logistics, and everything else, one industry has flown under the radar: the legal profession. In fact, the business of law is a strong contender for achieving the highest return on investment (ROI) from using AI. This makes their AI more capable and valuable.

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Marktechpost

OCTOBER 27, 2024

Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

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Large Language Models LLM Inference Engine ML 116

Marktechpost

SEPTEMBER 12, 2024

This framework consists of four distinct modules: Document Distiller : Reforms raw documents into semantic blocks using large language models (LLMs) guided by a flexible, user-defined schema. Incremental Entity Extractor : Extracts unique entities from the semantic blocks, ensuring no duplications or semantic ambiguities.

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Marktechpost

OCTOBER 26, 2024

Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

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Large Language Models LLM Inference Engine Algorithm 113

IBM Journey to AI blog

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

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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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Marktechpost

DECEMBER 8, 2024

This perspective was notably articulated by prominent AI researchers who argue that accurate token prediction implies a deeper understanding of underlying generative realities. Dont Forget to join our 60k+ ML SubReddit. However, traditional methods lack a robust framework for analyzing these computational representations.

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Marktechpost

OCTOBER 27, 2024

Large Language Models (LLMs) have lately demonstrated potential in expediting scientific discovery by generating research ideas due to their extensive text-processing capabilities. Don’t Forget to join our 55k+ ML SubReddit. Check out the Paper. All credit for this research goes to the researchers of this project.

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Marktechpost

NOVEMBER 29, 2024

Generative AI (Gen AI) is transforming the landscape of artificial intelligence, opening up new opportunities for creativity, problem-solving, and automation. Despite its potential, several challenges arise for developers and businesses when implementing Gen AI solutions. Check out the GitHub Page.

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Python Generative AI Large Language Models OpenAI 138

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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