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.

Large Language Models 78

Large Language Models Algorithm AI AI 78

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. Question answering: They can provide informative answers to natural language questions across a wide range of topics.

Large Language Models 162

Large Language Models Machine Learning LLM Neural Network 162

Flipboard

MARCH 21, 2025

AI for IT operations (AIOps) is the application of AI and machine learning (ML) technologies to automate and enhance IT operations. AIOps helps IT teams manage and monitor large-scale systems by automatically detecting, diagnosing, and resolving incidents in real time.

Automation 163

Automation Large Language Models Generative AI DevOps 163

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. LLMs can be promoted in various ways.

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Large Language Models LLM Inference Engine Algorithm 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 131

Marktechpost

JULY 16, 2024

Telecommunications involves the transmission of information over distances to communicate. Mainstream Large Language Models (LLMs) lack specialized knowledge in telecommunications, making them unsuitable for specific tasks in this field. Join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 141

Large Language Models Natural Language Processing Data Analysis LLM 141

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.

Large Language Models 136

Large Language Models LLM Natural Language Processing ML 136

Marktechpost

JULY 27, 2024

Agent-based modeling (ABM) emerged to overcome these limitations, progressing from rule-based to machine learning-based agents. The advent of Large Language Models (LLMs) has enabled the creation of autonomous agents for social simulations. Recent advancements in LLM-empowered-ABM have revolutionized social simulations.

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Large Language Models Artificial Intelligence Artificial Intelligence LLM 130

Marktechpost

MARCH 15, 2025

Large Language Models (LLMs) have become crucial in customer support, automated content creation, and data retrieval. Also, they generate misleading or incorrect information, commonly called hallucination, making their deployment challenging in scenarios requiring precise, context-aware decision-making.

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Large Language Models LLM Automation AI 49

Flipboard

JANUARY 24, 2025

In this post, we show you an example of a generative AI assistant application and demonstrate how to assess its security posture using the OWASP Top 10 for Large Language Model Applications , as well as how to apply mitigations for common threats.

Generative AI 158

Generative AI LLM AI AI 158

Marktechpost

OCTOBER 13, 2024

One of the key findings was that the softmax-then-topK routing consistently outperformed other approaches, such as topK-then-softmax, which is often used in dense models. This new approach allowed the upcycled MoE models to better utilize the information contained in the expert layers, leading to improved performance.

Large Language Models 122

Large Language Models AI Researcher AI Research Natural Language Processing 122

Marktechpost

NOVEMBER 6, 2024

With a growing dependence on technology, the need to protect sensitive information and secure communication channels is more pressing than ever. Until recently, existing large language models (LLMs) have lacked the precision, reliability, and domain-specific knowledge required to effectively support defense and security operations.

LLM 92

LLM Large Language Models Artificial Intelligence Artificial Intelligence 92

Marktechpost

SEPTEMBER 20, 2024

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. In OCR-related tasks, the NVLM models significantly outperformed existing systems, scoring 87.4% on DocVQA and 81.7% In conclusion, the NVLM 1.0

Large Language Models 126

Large Language Models Natural Language Processing Computer Vision AI 126

AWS Machine Learning Blog

JANUARY 28, 2025

Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Regular interval evaluation also allows organizations to stay informed about the latest advancements, making informed decisions about upgrading or switching models.

LLM 103

LLM Large Language Models ML Algorithm 103

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 294

Machine Learning Large Language Models LLM BERT 294

Marktechpost

SEPTEMBER 20, 2024

As datasets grow, existing models struggle to maintain scalability and efficiency, especially when real-time predictions are required. Traditional methods in the field, such as ID-based embeddings, use simple encoding techniques to convert user and item information into vectors that the system can process.

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Large Language Models LLM Algorithm ML 132

Flipboard

FEBRUARY 10, 2025

Multimodal Capabilities in Detail Configuring Your Development Environment Project Structure Implementing the Multimodal Chatbot Setting Up the Utilities (utils.py) Designing the Chatbot Logic (chatbot.py) Building the Interface (app.py) Summary Citation Information Building a Multimodal Gradio Chatbot with Llama 3.2 Introducing Llama 3.2

Chatbots 146

Chatbots Computer Vision Deep Learning Large Language Models 146

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.

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LLM Large Language Models Software Development BERT 200

Marktechpost

SEPTEMBER 12, 2024

Constructing Knowledge Graphs (KGs) from unstructured data is a complex task due to the difficulties of extracting and structuring meaningful information from raw text. The system achieved high consistency in structuring information from various types of documents, such as scientific articles, websites, and CVs.

Large Language Models 124

Large Language Models Data Analysis AI AI 124

Flipboard

MARCH 4, 2025

Integration with the AWS Well-Architected Tool pre-populates workload information and initial assessment responses. The WAFR Accelerator application retrieves the review status from the DynamoDB table to keep the user informed. Brijesh specializes in AI/ML solutions and has experience with serverless architectures.

Generative AI 157

Generative AI Prompt Engineering Prompt Engineer AI 157

Marktechpost

MARCH 1, 2025

Current memory systems for large language model (LLM) agents often struggle with rigidity and a lack of dynamic organization. Traditional approaches rely on fixed memory structurespredefined storage points and retrieval patterns that do not easily adapt to new or unexpected information.

LLM 92

LLM Large Language Models Data Analysis AI Research 92

Marktechpost

MARCH 22, 2025

Large language models (LLMs) are rapidly transforming into autonomous agents capable of performing complex tasks that require reasoning, decision-making, and adaptability. FAIR at Meta and UC Berkeley researchers proposed a new reinforcement learning method called SWEET-RL (Step-WisE Evaluation from Training-time Information).

AI Researcher 101

AI Researcher AI Research Large Language Models AI 101

Marktechpost

JANUARY 30, 2025

Contrastingly, agentic systems incorporate machine learning (ML) and artificial intelligence (AI) methodologies that allow them to adapt, learn from experience, and navigate uncertain environments. Embeddings like word2vec, GloVe , or contextual embeddings from large language models (e.g.,

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Robotics Convolutional Neural Networks Large Language Models AI 113

Marktechpost

NOVEMBER 30, 2024

Among these features, “Product Cards” stand out for their ability to display detailed product information, including images, pricing, and AI-generated summaries of reviews and features. The tool is particularly useful for companies seeking to enhance productivity by leveraging AI to unify diverse information sources.

Large Language Models 107

Large Language Models AI AI Artificial Intelligence 107

Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

ML 166

ML Metadata Data Extraction AI 166

AWS Machine Learning Blog

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation.

Automation 112

Automation IDP Generative AI Prompt Engineering 112

AWS Machine Learning Blog

DECEMBER 23, 2024

In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. Capturing complex human queries with graphs Human questions are inherently complex, often requiring the connection of multiple pieces of information.

Generative AI 128

Generative AI Natural Language Processing Prompt Engineering Prompt Engineer 128

Unite.AI

MARCH 3, 2025

Statistical AI is incredible at identifying patterns and doing translation using information it learned from the data it was trained on. At Deutsche Bank we dealt with a lot of very complex code that made automated trading decisions based on various ML inputs, risk indicators, etc. The field of AI has (very roughly!)

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Automation Algorithm Explainability Large Language Models 165

AWS Machine Learning Blog

MARCH 25, 2025

Key reasons include: Contextual coherence Maintaining state makes sure that the application can track the flow of information, leading to more coherent and contextually relevant outputs. Background State persistence in generative AI applications refers to the ability to maintain and recall information across multiple interactions.

Generative AI 110

Generative AI AI AI Software Engineer 110

AWS Machine Learning Blog

NOVEMBER 26, 2024

Large language models (LLMs) have come a long way from being able to read only text to now being able to read and understand graphs, diagrams, tables, and images. In this post, we discuss how to use LLMs from Amazon Bedrock to not only extract text, but also understand information available in images. 90B Vision model.

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LLM Convolutional Neural Networks Metadata Explainability 103

Flipboard

FEBRUARY 10, 2025

Organizations can build agentic applications using these reasoning models to execute complex tasks with advanced decision-making capabilities, enhancing efficiency and adaptability. For more information, refer to Deploy models for inference.

LLM 159

LLM AI AI Python 159

Marktechpost

OCTOBER 31, 2024

In the vast world of AI tools, a key challenge remains: delivering accurate, real-time information. Large language models like OpenAI’s ChatGPT transformed how we interact with information, but they were limited by outdated training data, reducing their utility in dynamic, real-time situations.

OpenAI 82

OpenAI ChatGPT Large Language Models Conversational AI 82

AWS Machine Learning Blog

NOVEMBER 25, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text.

LLM 106

LLM NLP Machine Learning ML 106

AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

LLM 87

LLM Natural Language Processing ML Computer Vision 87

AWS Machine Learning Blog

OCTOBER 29, 2024

These meetings often involve exchanging information and discussing actions that one or more parties must take after the session. This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call.

Generative AI 110

Generative AI ML AI AI 110

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

AWS Machine Learning Blog

JANUARY 30, 2025

Overview of DeepSeek-R1 DeepSeek-R1 is a large language model (LLM) developed by DeepSeek-AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. Filter for DeepSeek as a provider and choose the DeepSeek-R1 model.

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Python Large Language Models Generative AI Machine Learning 133