AI Weekly

OCTOBER 10, 2024

Try our Beta Now getessentialspro.com In The News Researcher Who Just Won the Nobel Prize Quit Google to Warn About Evil AI Coming for Us All Both of the men who won this year's Nobel Prize in Physics are artificial intelligence pioneers — and one of them is considered the technology's "godfather." politico.eu politico.eu

AI Researcher 234

AI Researcher AI Research Robotics Artificial Intelligence 234

Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). The culmination of this training is a machine-learning model.

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LLM Machine Learning Explainability Algorithm 264

AWS Machine Learning Blog

DECEMBER 4, 2024

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. This increases the time it takes for customers to go from data to insights.

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ML Generative AI Data Scientist ML Engineer 133

Marktechpost

OCTOBER 15, 2024

These workflows are modeled as graphs where nodes represent LLM-invoking actions, and edges represent the dependencies between these actions. The key to AFlow’s efficiency lies in its use of nodes and edges to represent workflows, allowing it to model complex relationships between LLM actions.

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Artificial Intelligence Artificial Intelligence Automation Inference Engine 124

Marktechpost

SEPTEMBER 28, 2024

In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. Crawl4AI employs a multi-step process to optimize web crawling for LLM training. Check out the Colab Notebook and GitHub.

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LLM Metadata Data Extraction BERT 133

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 131

Marktechpost

APRIL 22, 2024

Researchers from Tencent AI lab have introduced A LPHA LLM , a novel framework that integrates MCTS with LLMs to promote self-improvement without additional data annotations. Empirical testing of A LPHA LLM demonstrated significant performance improvements in mathematical reasoning tasks.

Machine Learning 140

Machine Learning Large Language Models LLM AI 140

Unite.AI

JULY 2, 2024

Retrieval-Augmented Generation (RAG) is a technique that combines the power of LLMs with external knowledge retrieval. RAG allows us to ground LLM responses in factual, up-to-date information, significantly improving the accuracy and reliability of AI-generated content. What are LLM Agents?

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LLM OpenAI Python Machine Learning 162

Marktechpost

JULY 21, 2024

In the rapidly developing field of Artificial Intelligence, it is more important than ever to convert unstructured data into organized, useful information efficiently. Recently, a team of researchers introduced the Neo4j LLM Knowledge Graph Builder , an AI tool that can easily address this issue.

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LLM AI Tools Data Analysis Machine Learning 131

Marktechpost

OCTOBER 15, 2024

The key innovation in PAVs is using a “prover policy,” distinct from the base policy that the LLM is following. This enables the LLM to explore a wider range of potential solutions, even when early steps do not immediately lead to a correct solution. Don’t Forget to join our 50k+ ML SubReddit. Check out the Paper.

Machine Learning 116

Machine Learning LLM AI Researcher AI Research 116

IBM Journey to AI blog

APRIL 9, 2024

” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. to automate the creation of ML models used in Hole Insights, based on 8 years of data. For AI narration, they used a pretrained large language model (LLM) with billions of parameters.

Machine Learning 250

Machine Learning ML AI AI 250

Marktechpost

SEPTEMBER 24, 2024

While RL and LLM-based agents have shown promise, they exhibit several limitations. Reinforcement learning, for instance, is highly data-intensive and demands significant manual effort for designing reward functions. This novel system enhances LLM-based agents by equipping them with an interaction memory. for LLM-Planner.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence LLM Robotics 113

Unite.AI

MAY 8, 2024

Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks. The tremendous success of LLMs has catalyzed explorations into leveraging their power for graph machine learning tasks.

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Neural Network Large Language Models LLM BERT 182

AI Weekly

MARCH 21, 2024

Mustafa Suleyman, Aidan Gomez and Yann LeCun anticipate profound societal impacts from generative AI and LLM, including productivity gains in healthcare. A survey of 3,838 researchers published by Nature revealed that 31% of respondents used generative artificial intelligence (GenAI).

Convolutional Neural Networks 206

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 206

AWS Machine Learning Blog

FEBRUARY 12, 2025

The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. Both features use the LLM-as-a-judge technique behind the scenes but evaluate different things.

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LLM Generative AI Automation Machine Learning 102

Unite.AI

OCTOBER 27, 2024

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js Key Features: Hardware-accelerated ML operations using WebGL and Node.js environments.

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Marktechpost

SEPTEMBER 21, 2024

In the final phase, concept evolution, the stored concepts are refined and evolved using additional LLM-guided operations. The results underscore the efficiency of combining LLMs with evolutionary algorithms to improve symbolic regression. These concepts are stored in a library to bias the hypothesis search in subsequent iterations.

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Large Language Models Machine Learning LLM Explainability 119

Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek.

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LLM AI AI Python 161

Marktechpost

OCTOBER 8, 2024

In the rapidly evolving world of artificial intelligence, large language models (LLMs) have become essential tools for a variety of applications, ranging from natural language understanding to content generation. By handling requests in this manner, Hex-LLM maximizes throughput, significantly reducing the cost per token served.

LLM 112

LLM Large Language Models Artificial Intelligence Artificial Intelligence 112

Marktechpost

APRIL 24, 2024

Initially, the system educates the LLM on task-specific APIs through a detailed lecture phase, preparing the model with necessary contextual information and technical specifics. In the workflow generation phase, the LLM applies this knowledge to generate and execute code based on user inputs dynamically.

Machine Learning 139

Machine Learning AI Researcher AI Research Large Language Models 139

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

ML 104

ML Data Scientist Machine Learning Software Engineer 104

Marktechpost

SEPTEMBER 19, 2024

Artificial intelligence, particularly using Large Language Models (LLMs), has significantly impacted this field. LLMs now automate tasks like code generation, debugging, and software testing, reducing human involvement in these repetitive tasks.

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Software Engineer LLM Software Development Automation 137

Marktechpost

OCTOBER 10, 2024

Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. As LLMs grow more powerful, they require sophisticated methods to optimize their performance during inference.

Large Language Models 116

Large Language Models Machine Learning Automation LLM 116

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

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ML Python Machine Learning Algorithm 167

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. They can customise the firm’s AI by teaching procedures to an LLM, and then share them across a team.

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AI AI Large Language Models Generative AI 339

Marktechpost

SEPTEMBER 26, 2024

Multimodal models represent a significant advancement in artificial intelligence by enabling systems to process and understand data from multiple sources, like text and images. The first release includes several key components: MolmoE-1B: Built using the fully open OLMoE-1B-7B mixture-of-experts large language model (LLM).

Artificial Intelligence 121

Artificial Intelligence Artificial Intelligence Large Language Models LLM 121

Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. Introduction To Generative AI Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn? What will AI enthusiasts learn?

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Generative AI BERT Natural Language Processing Large Language Models 189

AWS Machine Learning Blog

JULY 31, 2024

Amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (AI) technologies by companies and organizations across the globe. In benchmarks using the Japanese llm-jp-eval, the model demonstrated strong logical reasoning performance important in industrial applications.

LLM 126

LLM Large Language Models Generative AI Explainability 126

Marktechpost

APRIL 26, 2024

Don’t Forget to join our 40k+ ML SubReddit The post DeepMind Researchers Propose Naturalized Execution Tuning (NExT): A Self-Training Machine Learning Method that Drastically Improves the LLM’s Ability to Reason about Code Execution appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Machine Learning 140

Machine Learning Large Language Models Software Development Neural Network 140

Unite.AI

OCTOBER 16, 2023

This is where LLMOps steps in, embodying a set of best practices, tools, and processes to ensure the reliable, secure, and efficient operation of LLMs. Custom LLM Training : Developing a LLM from scratch promises an unparalleled accuracy tailored to the task at hand.

Large Language Models 189

Large Language Models LLM Machine Learning DevOps 189

Marktechpost

SEPTEMBER 24, 2024

Existing attempts to accelerate long-context LLM inference have focused on compressing the KV cache size by utilizing attention sparsity. Researchers from Microsoft Research, Shanghai Jiao Tong University, and Fudan University introduce RetrievalAttention , an innovative method designed to accelerate long-context LLM generation.

Machine Learning 118

Machine Learning Large Language Models LLM ML 118

Marktechpost

AUGUST 13, 2024

However, as imaging technologies advance, images’ growing size, dimensionality, and complexity present challenges for scaling existing machine-learning techniques. Accurate segmentation of structures like cells and organelles is crucial for deriving meaningful biological insights from imaging data.

Deep Learning 124

Deep Learning Machine Learning Neural Network Large Language Models 124

Marktechpost

JULY 29, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing fields that have significantly impacted various industries. Autonomous agents, a specialized branch of AI, are designed to operate independently, make decisions, and adapt to changing environments.

Large Language Models 126

Large Language Models LLM Artificial Intelligence Artificial Intelligence 126

Marktechpost

DECEMBER 27, 2024

SemiKong represents the worlds first semiconductor-focused large language model (LLM), designed using the Llama 3.1 Dont Forget to join our 60k+ ML SubReddit. The post Meet SemiKong: The Worlds First Open-Source Semiconductor-Focused LLM appeared first on MarkTechPost. Trending: LG AI Research Releases EXAONE 3.5:

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LLM Large Language Models AI Tools Automation 121

IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Using AI for certain business tasks or without guardrails in place may also not align with an organization’s core values.

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Metadata Explainability Automation Explainable AI 220

Marktechpost

JANUARY 10, 2025

Managing datasets effectively has become a pressing challenge as machine learning (ML) continues to grow in scale and complexity. These challenges are particularly acute in large-scale ML projects, where proper data curation and version control are essential to ensure reliable results.

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Machine Learning ML LLM AI 79

AI News

SEPTEMBER 27, 2024

.” Databricks also unveiled Mosaic AI , which Everts describes as “a comprehensive platform for building, deploying, and managing machine learning and generative AI applications, integrating enterprise data for enhanced performance and governance.”

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Large Language Models Big Data Explainability ETL 296