Unite.AI

MAY 8, 2024

In parallel, Large Language Models (LLMs) like GPT-4, and LLaMA have taken the world by storm with their incredible natural language understanding and generation capabilities. In this article, we will delve into the latest research at the intersection of graph machine learning and large language models.

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Neural Network Large Language Models LLM BERT 182

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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Flipboard

APRIL 14, 2025

Apple has floundered in its efforts to bring a convincing AI product to the table so much so that it's become the subject of derision even among its own employees, The Information reports. The moniker is also a jab at AI/ML's ousted leaders. At a critical moment in the AI race that called for decisiveness, the Siri team wavered.

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Marktechpost

MARCH 5, 2025

Prior research has explored strategies to integrate LLMs into feature selection, including fine-tuning models on task descriptions and feature names, prompting-based selection methods, and direct filtering based on test scores. 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 Machine Learning Prompt Engineer 79

Unite.AI

JANUARY 22, 2025

MLOps is a set of practices designed to streamline the machine learning (ML) lifecyclehelping data scientists, IT teams, business stakeholders, and domain experts collaborate to build, deploy, and manage ML models consistently and reliably. With the rise of large language models (LLMs), however, new challenges have surfaced.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

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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.

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Marktechpost

APRIL 9, 2025

While these sinks were previously seen as artifacts of large key and query activations, this work argues that they are vital in maintaining stable representations, especially in long sequences. By concentrating attention, sinks prevent excessive mixing of information across layers, helping to preserve the uniqueness of token representations.

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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. LLMs can be promoted in various ways.

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Marktechpost

APRIL 15, 2025

Large language models are increasingly used to solve math problems that mimic real-world reasoning tasks. These models are tested for their ability to answer factual queries and how well they can handle multi-step logical processes. Dont Forget to join our 90k+ ML SubReddit. Here is the Paper.

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Marktechpost

APRIL 11, 2025

Notably, some problems are designed to have no solution or feature unrelated information, testing LLMs ability to recognize illogical conditions and resist recitation-based answers. Overall, these findings highlight the limitations of current models in adaptive reasoning. Annotators ensured minimal wording changes and no ambiguity.

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Marktechpost

APRIL 2, 2025

Research on LLM applications in gaming has taken multiple directions, including evaluating model competency in simple deterministic games like Tic-Tac-Toe and assessing their strategic reasoning in more complex environments. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit.

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Large Language Models Prompt Engineer Prompt Engineering LLM 51

Flipboard

APRIL 17, 2025

Their key focus areas include optimizing large language models (LLMs) by integrating cutting-edge solutions, collaborating with leading technology providers, and driving performance enhancements that impact Salesforces AI-driven features. About the authors Sai Guruju is working as a Lead Member of Technical Staff at Salesforce.

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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.

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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.

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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.

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Flipboard

APRIL 23, 2025

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications.

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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 51

AWS Machine Learning Blog

DECEMBER 16, 2024

70B marks an exciting advancement in large language model (LLM) development, offering comparable performance to larger Llama versions with fewer computational resources. This performance profile makes it an ideal candidate for organizations seeking to balance model capabilities with operational efficiency. Deploy Llama 3.3

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Flipboard

DECEMBER 3, 2024

This conversational agent offers a new intuitive way to access the extensive quantity of seed product information to enable seed recommendations, providing farmers and sales representatives with an additional tool to quickly retrieve relevant seed information, complementing their expertise and supporting collaborative, informed decision-making.

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Flipboard

APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. This approach results in summaries that read more naturally and can effectively condense complex information into concise, readable text.

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Marktechpost

APRIL 25, 2025

Large language models (LLMs) have gained significant traction in reasoning tasks, including mathematics, logic, planning, and coding. However, a critical challenge emerges when applying these models to real-world scenarios.

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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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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

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

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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.

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Marktechpost

APRIL 14, 2025

RAG frameworks have gained attention for their ability to enhance LLMs by integrating external knowledge sources, helping address limitations like hallucinations and outdated information. Parallel efforts in insight extraction have shown that LLMs can effectively mine detailed, context-specific information from unstructured text.

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Marktechpost

APRIL 18, 2025

A significant advancement in this direction is Retrieval-Augmented Generation ( RAG ), which allows models to query databases and search engines for up-to-date or niche information not embedded during training. RAG enhances performance in knowledge-intensive scenarios by integrating LLM generation with real-time information retrieval.

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Large Language Models LLM ML AI 86

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.

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BAIR

MARCH 11, 2024

Here, you’ll find detailed profiles, research interests, and contact information for each of our graduates. Currently, I am working on Large Language Model (LLM) based autonomous agents. human player's racing trajectories) to inform better, more sample efficient control algorithms.

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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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Flipboard

APRIL 22, 2025

In the first post of this series, we introduced a comprehensive evaluation framework for Amazon Q Business , a fully managed Retrieval Augmented Generation (RAG) solution that uses your companys proprietary data without the complexity of managing large language models (LLMs). million square kilometers.

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Marktechpost

APRIL 12, 2025

Large Language Models (LLMs) have revolutionized natural language processing, with abilities on complex zero-shot tasks through extensive training data and vast parameters. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit. Check out Paper.

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LLM Large Language Models Natural Language Processing Prompt Engineer 82

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.

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Flipboard

APRIL 24, 2025

Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment. This is described in more detail later in this post.

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AI Weekly

DECEMBER 19, 2024

In the News Perplexitys Erroneous AI Election Info On the heels of the 2024 US presidential election, AI search startup Perplexity launched a new platform that aims to keep track of election results and offer information about candidates, their policies and endorsements in the form of AI-generated summaries. Lets simplify it.

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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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