AI News

OCTOBER 16, 2024

Endor Labs has begun scoring AI models based on their security, popularity, quality, and activity. The announcement comes as developers increasingly turn to platforms like Hugging Face for ready-made AI models, mirroring the early days of readily-available open-source software (OSS).

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AI News

NOVEMBER 28, 2024

The reported advances may influence the types or quantities of resources AI companies need continuously, including specialised hardware and energy to aid the development of AI models. The o1 model is designed to approach problems in a way that mimics human reasoning and thinking, breaking down numerous tasks into steps.

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AI News

OCTOBER 28, 2024

The approach – called Heterogeneous Pretrained Transformers (HPT) – combines vast amounts of diverse data from multiple sources into a unified system, effectively creating a shared language that generative AI models can process. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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AI News

SEPTEMBER 10, 2024

Sony Research and AI Singapore (AISG) will collaborate on research for the SEA-LION family of large language models (LLMs). SEA-LION, which stands for Southeast Asian Languages In One Network, aims to improve the accuracy and capability of AI models when processing languages from the region.

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Unite.AI

JUNE 13, 2024

Protecting digital assets requires harnessing the power of AI and automation while ensuring skilled human analysts remain integral to the security posture. Leveraging AI and Automation Deploying AI and machine learning (ML) models tailored to each of these attack classes is critical for proactive threat detection and prevention.

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Unite.AI

APRIL 12, 2024

In recent years, large language models (LLMs) and AI chatbots have become incredibly prevalent, changing the way we interact with technology. However, as these models become more advanced, concerns regarding their safety and potential for generating harmful content have come to the forefront.

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Unite.AI

OCTOBER 23, 2024

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). From automating content creation to providing support in healthcare, law, and finance, LLMs are reshaping industries with their capacity to understand and generate human-like text.

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AssemblyAI

MAY 4, 2023

Thankfully, significant strides in AI research–like the research behind Stable Diffusion, modern Large Language Models, and Poisson Flow Generative Models–have now made AI a formidable co-pilot to help companies ask the right questions, make sense of patterns, and build better products.

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Marktechpost

JANUARY 12, 2024

Some models may have unique API signatures, making it challenging to create a unified approach. Load balancing across multiple API keys and providers is often manual and time-consuming, needing more automation to ensure optimal performance.

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AI News

JULY 19, 2024

This capability could prove crucial for organisations looking to deploy large language models efficiently. Mistral AI has provided performance comparisons between the Mistral NeMo base model and two recent open-source pre-trained models: Gemma 2 9B and Llama 3 8B.

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AI News

OCTOBER 21, 2024

IBM has taken the wraps off its most sophisticated family of AI models to date, dubbed Granite 3.0, This includes plans to introduce new AI agent features in IBM watsonx Orchestrate and build agent capabilities across its portfolio in 2025. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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AI News

AUGUST 9, 2024

Alibaba Cloud’s Qwen team has unveiled Qwen2-Math, a series of large language models specifically designed to tackle complex mathematical problems. See also: Paige and Microsoft unveil next-gen AI models for cancer diagnosis Want to learn more about AI and big data from industry leaders?

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IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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Marktechpost

MAY 21, 2024

In a recent study, a team of researchers from the University of Maryland, College Park, has come up with an automatic text privatization framework that fine-tunes a Large Language Model to produce rewrites that balance soundness, sense, and privacy. velopers working with generative AI models. Check out the Paper.

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Unite.AI

SEPTEMBER 27, 2023

The success of ChatGPT opened many opportunities across industries, inspiring enterprises to design their own large language models. Having been there for over a year, I've recently observed a significant increase in LLM use cases across all divisions for task automation and the construction of robust, secure AI systems.

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Unite.AI

NOVEMBER 15, 2024

What role does metadata authentication play in ensuring the trustworthiness of AI outputs? Metadata authentication helps increase our confidence that assurances about an AI model or other mechanism are reliable. How can organizations mitigate the risk of AI bias and hallucinations in large language models (LLMs)?

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AI Weekly

JULY 6, 2023

Powered by elevateai.com In the News AI glossary: 60+ terms to know Embodied agents, also referred to as embodied AI, are AI agents with a physical body that perform specific tasks in the physical environment. techtarget.com Sponsor AI-driven customer insights, accessible for all. Start for free with full API access.

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AWS Machine Learning Blog

JANUARY 7, 2025

Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. If the question is asked in the context of sport, such as Did you perform well at the soccer tournament?,

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Marktechpost

SEPTEMBER 8, 2024

The competition to develop the most advanced Large Language Models (LLMs) has seen major advancements, with the four AI giants, OpenAI, Meta, Anthropic, and Google DeepMind, at the forefront. Cost-efficiency and token context windows are also becoming critical as more companies seek scalable AI solutions.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Additionally, it poses a security risk when handling sensitive data, making it a less desirable option in the age of automation and digital security.

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Unite.AI

DECEMBER 4, 2024

The dawn of AI technologies like large language models (LLMs) has brought about incredible advancements. However, a significant threat looms: AI-powered scams. As we embrace AI's potential, it is crucial we also strengthen our defenses against these increasingly sophisticated threats.

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Unite.AI

OCTOBER 30, 2024

We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform. ” Another could be the automated scoring of quality scorecards to evaluate agent performance. With the recent $39.4

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IBM Journey to AI blog

MAY 15, 2023

AI and automation are driving business transformation by empowering individuals to do work without expert knowledge of business processes and applications. We are now taking a major step to unlock new levels of productivity by introducing advanced generative AI capabilities to a variety of new use cases.

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Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. teaches students to automate document handling and data extraction, among other skills.

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AI News

JULY 25, 2024

In practical terms, this means ML2 can generate responses faster than larger models on the same hardware. Addressing key challenges Mistral has prioritised combating hallucinations – a common issue where AI models generate convincing but inaccurate information.

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IBM Journey to AI blog

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Automate tedious, repetitive tasks. Autoregressive models or large language models (LLMs) are used for text and language.

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IBM Journey to AI blog

JANUARY 11, 2024

With a lean set of commands, it shouldn’t be a complicated language for newer developers to learn or understand. And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline.

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Unite.AI

JUNE 22, 2023

We're so excited about Digits AI because it seamlessly combines the strengths of both major fields in machine learning: generative large language models and predictive similarity models. Generative AI models are often poor at math, how does Digits solve this problem?

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Unite.AI

NOVEMBER 28, 2024

Graph Neural Networks (GNNs) are a subset of AI models that excel at understanding these complex relationships. Graph AI is already being used in: Drug discovery: Modeling molecule interactions to predict therapeutic potential. This makes it possible to spot patterns and gain deep insights.

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AI News

SEPTEMBER 19, 2024

The letter expresses frustration with the uncertainty surrounding data usage for AI model training, stemming from interventions by European Data Protection Authorities. This ambiguity, they argue, could result in Large Language Models (LLMs) lacking crucial Europe-specific training data.

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AI Weekly

MARCH 28, 2024

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. theguardian.com Amazon invests an additional $2.75

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AI News

OCTOBER 18, 2024

Blockchain has enormous potential to democratise access to AI by addressing concerns around centralisation that have emerged with the growing dominance of companies like OpenAI, Google, and Anthropic. By using analytics, AI algorithms can predict any problems when they contract conditions are executed.

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IBM Journey to AI blog

NOVEMBER 29, 2023

Furthermore, symbolic AI can be designed to reason and infer about facts and structured data, making it useful for navigating through complex business scenarios. Additionally, developments in both closed and open source large language models (LLM) are enhancing AI’s ability for understanding plain, natural language.

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Marktechpost

SEPTEMBER 25, 2024

Microsoft’s release of RD-Agent marks a milestone in the automation of research and development (R&D) processes, particularly in data-driven industries. By automating these critical processes, RD-Agent allows companies to maximize their productivity while enhancing the quality and speed of innovations.

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Marktechpost

JUNE 23, 2024

Natural language processing has greatly improved language model finetuning. This process involves refining AI models to perform specific tasks more effectively by training them on extensive datasets. However, creating these large, diverse datasets is complex and expensive, often requiring substantial human input.

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AI News

AUGUST 28, 2024

The report highlights that while the US government has restricted the export of high-end AI chips to China, providing access to such chips or advanced AI models through the cloud is not a violation of US regulations. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Big Data Large Language Models AI AI 262

Unite.AI

DECEMBER 23, 2024

This automation not only streamlines repetitive processes but also allows human workers to focus on more strategic and creative activities. Today, AI agents are playing an important role in enterprise automation, delivering benefits such as increased efficiency, lower operational costs, and faster decision-making.

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