Towards AI

OCTOBER 10, 2024

The evolution of Large Language Models (LLMs) allowed for the next level of understanding and information extraction that classical NLP algorithms struggle with. This is where LLMs come into play with their capabilities to interpret customer feedback and present it in a structured way that is easy to analyze.

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Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are capable of understanding and generating human-like text, making them invaluable for a wide range of applications, such as chatbots, content generation, and language translation. Large Language Models (LLMs) are a type of neural network model trained on vast amounts of text data.

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The MLOps Blog

JANUARY 23, 2025

TL;DR Multimodal Large Language Models (MLLMs) process data from different modalities like text, audio, image, and video. Compared to text-only models, MLLMs achieve richer contextual understanding and can integrate information across modalities, unlocking new areas of application. How do multimodal LLMs work?

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucinationproducing responses that sound convincing but are factually incorrect. No LLM invocation needed, response in less than 1 second. Partial match (similarity score 6080%): i.

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AI News

MARCH 4, 2024

It also mandates the labelling of deepfakes with permanent unique metadata or other identifiers to prevent misuse. Furthermore, the document outlines plans for implementing a “consent popup” mechanism to inform users about potential defects or errors produced by AI.

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Unite.AI

NOVEMBER 20, 2024

The growth of autonomous agents by foundation models (FMs) like Large Language Models (LLMs) has reform how we solve complex, multi-step problems. That said, AgentOps (the tool) offers developers insight into agent workflows with features like session replays, LLM cost tracking, and compliance monitoring.

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Flipboard

DECEMBER 3, 2024

Now, Syngenta is advancing further by using large language models (LLMs) and Amazon Bedrock Agents to implement Cropwise AI on AWS, marking a new era in agricultural technology. The session attributes aren’t shared with the LLM, making sure that authorization decisions are done on validated and tamper-proof data.

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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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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.

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Marktechpost

JULY 25, 2024

Large Language Models (LLMs) have revolutionized AI with their ability to understand and generate human-like text. Learning about LLMs is essential to harness their potential for solving complex language tasks and staying ahead in the evolving AI landscape.

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Unite.AI

JANUARY 29, 2025

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. Did we over-invest in companies like OpenAI and NVIDIA?

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Flipboard

NOVEMBER 19, 2024

Solution overview By combining the powerful vector search capabilities of OpenSearch Service with the access control features provided by Amazon Cognito , this solution enables organizations to manage access controls based on custom user attributes and document metadata. If you don’t already have an AWS account, you can create one.

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AWS Machine Learning Blog

MARCH 5, 2025

However, traditional machine learning approaches often require extensive data-specific tuning and model customization, resulting in lengthy and resource-heavy development. 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.

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AssemblyAI

JULY 8, 2024

Join Us On Discord Use Large Language Models With Voice Data Get more from your voice data with our new guides on using Large Language Models (LLMs) with  LeMUR. video conferencing app that supports video calls with live transcriptions and an LLM-powered meeting assistant. 

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LLM Large Language Models Metadata Python 147

Flipboard

MARCH 31, 2025

Agentic design An AI agent is an autonomous, intelligent system that uses large language models (LLMs) and other AI capabilities to perform complex tasks with minimal human oversight. Flows CrewAI Flows provide a structured, event-driven framework to orchestrate complex, multi-step AI automations seamlessly.

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Marktechpost

OCTOBER 27, 2024

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation.

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AWS Machine Learning Blog

JULY 2, 2024

Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process. Metadata filtering gives you more control over the RAG process for better results tailored to your specific use case needs.

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Marktechpost

SEPTEMBER 28, 2024

Crawl4AI, an open-source tool, is designed to address the challenge of collecting and curating high-quality, relevant data for training large language models. It not only collects data from websites but also processes and cleans it into LLM-friendly formats like JSON, cleaned HTML, and Markdown.

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deepsense.ai

JULY 30, 2023

To start simply, you could think of LLMOps ( Large Language Model Operations) as a way to make machine learning work better in the real world over a long period of time. As previously mentioned: model training is only part of what machine learning teams deal with. What is LLMOps? Why are these elements so important?

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Marktechpost

FEBRUARY 15, 2025

Large language models (LLMs) have demonstrated exceptional problem-solving abilities, yet complex reasoning taskssuch as competition-level mathematics or intricate code generationremain challenging. Recent approaches to enhance LLM reasoning fall into two categories: deliberate search and reward-guided methods.

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Flipboard

FEBRUARY 16, 2023

results.json captures the metadata of this particular job run, such as the model’s configuration, batch size, total steps, gradient accumulation steps, and training dataset name. The model checkpoint and output log per each compute node are also captured in this directory. This directory is accessible to all compute nodes.

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries.

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BAIR

APRIL 3, 2023

Online interactive demo Open source training and serving framework System Overview Large language models (LLMs) have enabled increasingly powerful virtual assistants and chat bots, with systems such as ChatGPT , Bard , Bing Chat , and Claude able to respond to a breadth of user queries, provide sample code, and even write poetry.

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AssemblyAI

AUGUST 31, 2023

LangChain is a framework for developing applications powered by Large Language Models (LLMs). With LangChain, you can easily apply LLMs to your data and, for example, ask questions about the contents of your data. The metadata contains the full JSON response of our API with more meta information: print(docs[0].metadata)

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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.

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Marktechpost

AUGUST 24, 2024

This technique is designed to enhance the capabilities of Large Language Models (LLMs) by seamlessly integrating contextually relevant, timely, and domain-specific information into their responses.

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Large Language Models Metadata Artificial Intelligence Artificial Intelligence 76

AWS Machine Learning Blog

MARCH 12, 2024

In this post, we discuss how Leidos worked with AWS to develop an approach to privacy-preserving large language model (LLM) inference using AWS Nitro Enclaves. Technical architectures need to be implemented in order to make sure that LLMs don’t expose sensitive information during inference.

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AWS Machine Learning Blog

MARCH 18, 2025

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This application allows users to ask questions in natural language and then generates a SQL query for the users request. However, off-the-shelf LLMs cant be used without some modification.

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AssemblyAI

OCTOBER 16, 2023

LlamaIndex is a flexible data framework for connecting custom data sources to Large Language Models (LLMs). With LlamaIndex, you can easily store and index your data and then apply LLMs.    LLMs only work with textual data, so to process audio files with LLMs we first need to transcribe them into text.

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Marktechpost

MARCH 18, 2025

Retrieval-augmented generation ( RAG ) has emerged as a powerful paradigm for enhancing the capabilities of large language models (LLMs). This approach is valuable for building domain-specific assistants, customer support systems, or any application where grounding LLM responses in specific documents is important.

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Towards AI

MARCH 12, 2025

🔎 Decoding LLM Pipeline Step 1: Input Processing & Tokenization 🔹 From Raw Text to Model-Ready Input In my previous post, I laid out the 8-step LLM pipeline, decoding how large language models (LLMs) process language behind the scenes.

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Flipboard

MARCH 4, 2025

Customizable Uses prompt engineering , which enables customization and iterative refinement of the prompts used to drive the large language model (LLM), allowing for refining and continuous enhancement of the assessment process. Metadata filtering is used to improve retrieval accuracy.

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Google Research AI blog

AUGUST 18, 2023

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team There has been great progress towards adapting large language models (LLMs) to accommodate multimodal inputs for tasks including image captioning , visual question answering (VQA) , and open vocabulary recognition.

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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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AWS Machine Learning Blog

APRIL 7, 2025

Tracing provides a way to record the inputs, outputs, and metadata associated with each intermediate step of a request, enabling you to easily pinpoint the source of bugs and unexpected behaviors. RAGAS is an open source library that provide tools specifically for evaluation of LLM applications and generative AI agents.

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Towards AI

FEBRUARY 17, 2025

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 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. You can use FMEval to evaluate AWS-hosted LLMs such as Amazon Bedrock, Jumpstart and other SageMaker models.

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