Towards AI

OCTOBER 10, 2024

Last Updated on October 12, 2024 by Editorial Team Author(s): Vladyslav Fliahin Originally published on Towards AI. Introduction Source: Image generated by the author using AI (Flux AI) Did you know that businesses receive thousands of customer reviews daily, each containing valuable insights?

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Unite.AI

OCTOBER 25, 2023

In-context learning has emerged as an alternative, prioritizing the crafting of inputs and prompts to provide the LLM with the necessary context for generating accurate outputs. Behind the scenes, it dissects raw documents into intermediate representations, computes vector embeddings, and deduces metadata.

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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. Rigorous testing allows us to understand an LLMs capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk.

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Marktechpost

FEBRUARY 22, 2025

Large language models (LLMs) are limited by complex reasoning tasks that require multiple steps, domain-specific knowledge, or external tool integration. To address these challenges, researchers have explored ways to enhance LLM capabilities through external tool usage. over GPT-4o and up to 10.6%

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Metadata Large Language Models Algorithm AI 110

Unite.AI

JANUARY 29, 2025

That analogy sums up todays enterprise AI landscape. Instead of solely focusing on whos building the most advanced models, businesses need to start investing in robust, flexible, and secure infrastructure that enables them to work effectively with any AI model, adapt to technological advancements, and safeguard their data.

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Flipboard

NOVEMBER 19, 2024

Organizations of all sizes and types are using generative AI to create products and solutions. In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona. Then, Lambda replies back to the web interface with the LLM completion (reply).

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AWS Machine Learning Blog

MARCH 5, 2025

Enter Chronos , a cutting-edge family of time series models that uses the power of large language model ( LLM ) architectures to break through these hurdles. See quick setup for Amazon SageMaker AI for instructions about setting up a SageMaker domain. In addition, he builds and deploys AI/ML models on the AWS Cloud.

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AI News

MARCH 4, 2024

In an advisory issued by India’s Ministry of Electronics and Information Technology (MeitY) last Friday, it was declared that any AI technology still in development must acquire explicit government permission before being released to the public. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Flipboard

MARCH 4, 2025

In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

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AWS Machine Learning Blog

JANUARY 7, 2025

It is critical for AI models to capture not only the context, but also the cultural specificities to produce a more natural sounding translation. One of LLMs most fascinating strengths is their inherent ability to understand context. However, the industry is seeing enough potential to consider LLMs as a valuable option.

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Large Language Models Prompt Engineering Prompt Engineer Metadata 112

AWS Machine Learning Blog

JULY 2, 2024

Knowledge bases effectively bridge the gap between the broad knowledge encapsulated within foundation models and the specialized, domain-specific information that businesses possess, enabling a truly customized and valuable generative artificial intelligence (AI) experience.

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Towards AI

NOVEMBER 6, 2024

Author(s): Nilesh Raghuvanshi Originally published on Towards AI. This comprehensive documentation serves as the foundational knowledge base for code generation by providing the LLM with the necessary context to understand and generate SimTalk code. Additionally, we used a mix of code and language-specific models.

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AssemblyAI

JULY 8, 2024

  Extract and generate data : Find out how to extract tags and descriptions from your audio to enhance metadata and searchability with LeMUR.  video conferencing app that supports video calls with live transcriptions and an LLM-powered meeting assistant.  Build an AI Voice Translator: Keep Your Voice in Any Language!

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LLM Large Language Models Metadata Python 147

Marktechpost

FEBRUARY 15, 2025

In this paper researchers introduced a new framework, ReasonFlux that addresses these limitations by reimagining how LLMs plan and execute reasoning steps using hierarchical, template-guided strategies. Recent approaches to enhance LLM reasoning fall into two categories: deliberate search and reward-guided methods.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. You don’t have to tell the LLM where Sydney is or that the image is for rainfall.

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Marktechpost

SEPTEMBER 28, 2024

It not only collects data from websites but also processes and cleans it into LLM-friendly formats like JSON, cleaned HTML, and Markdown. These customizations make the tool adaptable for various data types and web structures, allowing users to gather text, images, metadata, and more in a structured way that benefits LLM training.

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Unite.AI

JANUARY 30, 2025

Inna Tokarev Sela, the CEO and Founder of Illumex , is transforming how enterprises prepare their structured data for generative AI. The platform automatically analyzes metadata to locate and label structured data without moving or altering it, adding semantic meaning and aligning definitions to ensure clarity and transparency.

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Automation Metadata Explainability Data Scientist 147

Towards AI

MARCH 12, 2025

Last Updated on March 12, 2025 by Editorial Team Author(s): Ecem Karaman Originally published on Towards AI. 📌 The core tokenizer types are public, but specific AI Models may use fine tuned versions of them (e.g. tokenize("Let's learn about LLMs! Now, lets zoom in starting with Step 1: Input Processing.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

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Unite.AI

SEPTEMBER 28, 2023

Generative AI has captured interest across businesses globally. In fact, ​​60% of organizations with reported AI adoption are now using generative AI. A recent survey found only 48% of Americans believe AI is safe and secure, while 78% say they are very or somewhat concerned that AI can be used for malicious intent.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

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Towards AI

FEBRUARY 17, 2025

Originally published on Towards AI. RAFT vs Fine-Tuning Image created by author As the use of large language models (LLMs) grows within businesses, to automate tasks, analyse data, and engage with customers; adapting these models to specific needs (e.g., Security: Secure sensitive data with access control (role-based) and metadata.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

Each category necessitates specialized generative AI-powered tools to generate insights. the router would direct the query to a text-based RAG that retrieves relevant documents and uses an LLM to generate an answer based on textual information. In practice, the router module can be implemented with an initial LLM call.

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Marktechpost

JANUARY 7, 2025

This approach has two primary shortcomings: Missed Contextual Signals : Without considering metadata such as source URLs, LMs overlook important contextual information that could guide their understanding of a texts intent or quality. MeCo leverages readily available metadata, such as source URLs, during the pre-training phase.

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Metadata Natural Language Processing LLM ML 87

AssemblyAI

AUGUST 31, 2023

For this, we create a small demo application that lets you load audio data and apply an LLM that can answer questions about your spoken data. The metadata contains the full JSON response of our API with more meta information: print(docs[0].metadata) page_content) # Runner's knee. Runner's knee is a condition.

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Python Metadata Large Language Models LLM 217

IBM Journey to AI blog

JANUARY 9, 2024

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

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AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. This request contains the user’s message and relevant metadata.

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AssemblyAI

OCTOBER 16, 2023

For this, we create a small demo application with an LLM-powered query engine that lets you load audio data and ask questions about your data. The metadata contains the full JSON response of our API with more meta information: print(docs[0].metadata) Getting Started Create a new virtual environment: # Mac/Linux: python3 -m venv venv.

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Marktechpost

MARCH 7, 2024

The intersection of AI and the arts, especially music, has become an important field of study due to its deep implications for human creativity. Recent years have seen a change in several fields brought about by Large Language Models (LLMs) and their incredible ability to generate lengthy sequences. Researchers from Skywork AI PTE.

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LLM Metadata Large Language Models AI 128

Unite.AI

AUGUST 28, 2024

The company implements AI to the task of preventing and detecting malware. The term “AI” is broadly used as a panacea to equip organizations in the battle against zero-day threats. Not all AI is equal. Deep Instinct recently launched DIANNA, the first generative AI-powered cybersecurity assistant. He holds a B.Sc

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

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AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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AWS Machine Learning Blog

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

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Prompt Engineering Prompt Engineer Categorization LLM 91

AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

This post details how we used Amazon Bedrock to create an AI assistant (Untold Assistant), providing artists with a straightforward way to access our internal resources through a natural language interface integrated directly into their existing Slack workflow. Solution overview The Untold Assistant serves as a central hub for artists.

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AWS Machine Learning Blog

MARCH 13, 2025

The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. This post will discuss agentic AI driven architecture and ways of implementing.

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