A Guide to 400+ Categorized Large Language Model(LLM) Datasets
Analytics Vidhya
NOVEMBER 9, 2024
And to top it off, this collection […] The post A Guide to 400+ Categorized Large Language Model(LLM) Datasets appeared first on Analytics Vidhya.
Mastering Sentiment Analysis through Generative AI
Analytics Vidhya
SEPTEMBER 27, 2023
Customer sentiment analysis analyzes customer feedback, such as product reviews, chat transcripts, emails, and call center interactions, to categorize customers into happy, neutral, or unhappy. This categorization helps companies tailor their responses and strategies to enhance customer satisfaction.
Generative AI 
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Generate training data and cost-effectively train categorical models with Amazon Bedrock
AWS Machine Learning Blog
MARCH 27, 2025
In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For a multiclass classification problem such as support case root cause categorization, this challenge compounds many fold.
Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock
AWS Machine Learning Blog
NOVEMBER 1, 2024
As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.
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4 ways to empower small and medium businesses with generative AI
IBM Journey to AI blog
NOVEMBER 6, 2023
By adopting these 4 best practices to invest in the right technology and leverage the most recent advances in generative AI , enterprises can unlock unique services for SMB customers. Generative AI tools like IBM watsonx.ai And with SMBs representing 44% of the US GDP , they cannot be ignored.
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With generative AI, don’t believe the hype (or the anti-hype)
IBM Journey to AI blog
SEPTEMBER 3, 2024
No technology in human history has seen as much interest in such a short time as generative AI (gen AI). How might generative AI achieve this? The applications of this technology are numerous, but they can generally be described as improving the efficiency of communication between humans and machines.
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The Transformative Impact of AI on M&A Dealmaking
Unite.AI
NOVEMBER 19, 2024
AI in M&A AI is helping dealmakers navigate these challenges. AI and and generative AI can automate many of the manual, time-consuming tasks that are critical to the due diligence process.
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Streamline Email Workflows with LangGraph, Llama 3, and GROQ for Smarter Customer Communication
Analytics Vidhya
NOVEMBER 21, 2024
Leveraging advanced tools like LangGraph, Llama 3, and Groq, we can streamline email workflows by automating tasks such as categorization, contextual research, and drafting thoughtful replies.
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Build a multi-tenant generative AI environment for your enterprise on AWS
AWS Machine Learning Blog
NOVEMBER 7, 2024
While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.
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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support
AWS Machine Learning Blog
FEBRUARY 20, 2025
The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. This analysis helps pinpoint specific areas that need improvement.
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How to Run Binary Logistic Regression Model with Julius?
Analytics Vidhya
JUNE 8, 2024
Introduction Logistic regression is a statistical technique used to model the probability of a binary (categorical variable that can take on two distinct values) outcome based on one or more predictor variables.
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How GenAI is Reshaping the Way We Build Recommendation Systems: A Developer’s Perspective
Towards AI
DECEMBER 21, 2024
Fast forward to end of 2024, Generative AI and modern libraries have completely transformed the landscape, making development faster, more intuitive, and far more scalable. Training involved long cycles of feature engineering everything from creating TF-IDF vectors for text features to manually generating embeddings.
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Sundial: A New Era for Time Series Foundation Models with Generative AI
Marktechpost
FEBRUARY 8, 2025
This tokenization scheme, used in frameworks such as TimesFM, Timer, and Moirai, embeds time series data into categorical token sequences, discarding fine-grained information, rigid representation learning, and potential quantization inconsistencies. Sundial combines several innovations in tokenization, architecture, and training methods.
How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock
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.
10 Best AI Social Listening Tools (August 2024)
Unite.AI
AUGUST 11, 2024
Users can set up custom streams to monitor keywords, hashtags, and mentions in real-time, while the platform's AI-powered sentiment analysis automatically categorizes mentions as positive, negative, or neutral, providing a clear gauge of public perception.
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Adobe Previews New Generative AI Tools for Video Workflows
Unite.AI
APRIL 15, 2024
Adobe has announced the upcoming integration of generative AI technologies into Premiere Pro, its professional video editing software. The company's commitment to advancing professional video editing capabilities is evident in this preview of the breakthrough generative AI innovations set to transform the industry.
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Top 7 meeting intelligence platforms in 2025
AssemblyAI
FEBRUARY 28, 2025
Insight generation : AI analyzes conversations, extracting key decisions, flagging action items, and identifying important topics. The platform is great for how it structures meeting content—automatically categorizing discussions, flagging action items, and making sure nothing falls through the cracks.
Advancing Generative AI with Retrieval-Augmented Generation
Towards AI
MARCH 4, 2025
Last Updated on March 4, 2025 by Editorial Team Author(s): Richa Taldar Originally published on Towards AI. Advancing Generative AI with Retrieval-Augmented Generation Large Language Models (LLMs) have revolutionized AI-driven text generation, but accuracy remains one of their biggest challenges.
Video security analysis for privileged access management using generative AI and Amazon Bedrock
AWS Machine Learning Blog
JANUARY 22, 2025
However, to describe what is occurring in the video from what can be visually observed, we can harness the image analysis capabilities of generative AI. Prompt engineering Prompt engineering is the process of carefully designing the input prompts or instructions that are given to LLMs and other generative AI systems.
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102 Transforming customer service: How generative AI is changing the game
IBM Journey to AI blog
JULY 17, 2023
Generative AI has the potential to significantly disrupt customer care, leveraging large language models (LLMs) and deep learning techniques designed to understand complex inquiries and offer to generate more human-like conversational responses.
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McAfee unveils AI-powered deepfake audio detection
AI News
JANUARY 8, 2024
This proprietary technology aims to defend consumers against the rising menace of cybercriminals employing fabricated, AI-generated audio for scams, cyberbullying, and manipulation of public figures’ images.
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The race to AI integration
AssemblyAI
NOVEMBER 6, 2024
As AI technology becomes increasingly sophisticated, businesses are tapping into its potential across three key areas: Generative AI, Speech-to-Text (STT), and Streaming Speech-to-Text. AI use cases Here are 15 real-world use cases for AI across a variety of industries.
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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight
AWS Machine Learning Blog
MARCH 20, 2025
Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. Yasmine Rodriguez, CTO of Asure.
Improving Retrieval Augmented Generation accuracy with GraphRAG
AWS Machine Learning Blog
DECEMBER 23, 2024
Customers need better accuracy to take generative AI applications into production. This enhancement is achieved by using the graphs ability to model complex relationships and dependencies between data points, providing a more nuanced and contextually accurate foundation for generative AI outputs.
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How foundation models and data stores unlock the business potential of generative AI
IBM Journey to AI blog
AUGUST 1, 2023
True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible?
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Judicial systems are turning to AI to help manage its vast quantities of data and expedite case resolution
IBM Journey to AI blog
JANUARY 8, 2024
With digitization adopted by law firms and court systems, a trove of data in the form of court opinions, statutes, regulations, books, practice guides, law reviews, legal white papers and news reports are available to be used to train both traditional and generative AI foundation models by judicial agencies.
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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights
AWS Machine Learning Blog
MARCH 20, 2025
Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling.
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10 Best AI Tools to Protect Your Brand and Streamline Influencer Marketing (December 2024)
Unite.AI
DECEMBER 7, 2024
It includes automated moderation protocols that filter and categorize incoming messages based on urgency and sentiment, enabling rapid response to potential brand issues while maintaining consistent engagement quality across channels.
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How Aetion is using generative AI and Amazon Bedrock to translate scientific intent to results
AWS Machine Learning Blog
FEBRUARY 6, 2025
These variables often involve complex sequences of events, combinations of occurrences and non-occurrences, as well as detailed numeric calculations or categorizations that accurately reflect the diverse nature of patient experiences and medical histories. Measures Assistant is an AetionAI feature in Substantiate.
Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline
AWS Machine Learning Blog
OCTOBER 29, 2024
It’s ideal for workloads that aren’t latency sensitive, such as obtaining embeddings, entity extraction, FM-as-judge evaluations, and text categorization and summarization for business reporting tasks. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.
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Is Your Data Ecosystem AI-Ready? How Companies Can Ensure Their Systems Are Prepared for an AI Overhaul
Unite.AI
FEBRUARY 25, 2025
For businesses to achieve a deeper understanding of their data estate, they should work with a partner that can provide AI solutions, like a unified generative AI orchestration platform. Also, generative AI (Gen AI) is changing the data governance paradigm from rule-based to guardrails.
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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas
AWS Machine Learning Blog
JUNE 3, 2024
With a data flow, you can prepare data using generative AI, over 300 built-in transforms, or custom Spark commands. Linear categorical to categorical correlation is not supported. Features that are not either numeric or categorical are ignored. Complete the following steps: Choose Prepare and analyze data.
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Using ChatGPT to build qualitative data color schemes
JANUARY 1, 2024
Examining categorical data colorizing with text-based GenAI. In this writing, I explore using ChatGPT, a text-based generative AI model, as a color …
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Streamline financial workflows with generative AI for email automation
AWS Machine Learning Blog
JUNE 18, 2024
This post explains a generative artificial intelligence (AI) technique to extract insights from business emails and attachments. It examines how AI can optimize financial workflow processes by automatically summarizing documents, extracting data, and categorizing information from email attachments.
Automation 112
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From AT&T to the United Nations, AI Agents Redefine Work With NVIDIA AI Enterprise
NVIDIA
MARCH 18, 2025
AI agents provide 24/7 support, handling common inquiries with more personalized responses while freeing human agents to address more complex issues. Intelligent-routing capabilities categorize and prioritize requests so customers can be quickly directed to the right specialists.
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Why AI Video Sometimes Gets It Backwards
Unite.AI
MARCH 13, 2025
If 2022 was the year that generative AI captured a wider public's imagination, 2025 is the year where the new breed of generative video frameworks coming from China seems set to do the same. Sample prompts from VideoPhy-2, categorized by physical activities or object interactions.
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AI News Weekly - Issue #354: The top 100 people in A.I. - Oct 12th 2023
AI Weekly
OCTOBER 12, 2023
Governments across the world are at different stages of creating and enacting AI regulations. The EU may be the first to enact generative-AI regulation. The US has relied on industry experts, while the EU and Brazil aim to set up a categorical system. China takes a more restrictive stance.
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The Future of Music: How Generative AI Is Transforming the Music Industry
NOVEMBER 9, 2023
In this post, we’ll dive into what people are doing today, explore where AI music might be headed, and outline a few of the emerging companies and capabilities at the forefront of the space. We expect to see analogous products in music — AI-powered tools that decrease the friction from inspiration to expression to zero.
Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs
AWS Machine Learning Blog
NOVEMBER 7, 2024
Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.
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AI is coming for the laptop class
MARCH 13, 2025
The newest reasoning models from top AI companies are already essentially human-level, if not superhuman, at many programming tasks , which in turn has already led new tech startups to hire fewer workers. A task, notably, is not the same as a job or occupation. But is it possible to be more systematic?
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Meet PyRIT: A Python Risk Identification Tool for Generative AI to Empower Machine Learning Engineers
Marktechpost
MARCH 3, 2024
While some attempts have been made to address the risks associated with generative AI, existing solutions often require manual efforts and lack a comprehensive framework. The emergence of PyRIT , the Python Risk Identification Tool for generative AI, aims to fill this void and provide an open-access automation framework.
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Streamline insurance underwriting with generative AI using Amazon Bedrock – Part 1
AWS Machine Learning Blog
AUGUST 1, 2024
The challenges in document understanding can be broadly categorized into three areas: Rule validation – Verifying that the information provided in the documents adheres to the insurer’s underwriting guidelines. Amazon Bedrock simplifies the deployment, scaling, implementation, and management of generative AI models for insurers.
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HARPA AI Review: How I Finally Tamed My Tab Overload
Unite.AI
DECEMBER 9, 2024
The way it categorizes incoming emails automatically has also helped me maintain that elusive “inbox zero” I could only dream about. AI-Powered Search with Hallucination-Free Responses & Citations When it comes to search capabilities, HARPA does something pretty unique.
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FMOps/LLMOps: Operationalize generative AI and differences with MLOps
AWS Machine Learning Blog
SEPTEMBER 1, 2023
Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).
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