Unite.AI

FEBRUARY 17, 2025

AI agents represent the next wave in enterprise AI. They build upon the foundations of predictive and generative AI but take a significant leap forward in terms of autonomy and adaptability. Regularly involve business stakeholders in the AI assessment/selection process to ensure alignment and provide clear ROI.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

Unite.AI

OCTOBER 4, 2023

Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. However, in many cases, the outcomes or predictions of AI systems can reflect various types of AI bias, such as cultural and racial.

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Flipboard

FEBRUARY 19, 2025

This deep dive explores how organizations can architect their RAG implementations to harness the full potential of their data assets while maintaining security and compliance in highly regulated environments. Focus should be placed on data quality through robust validation and consistent formatting.

Responsible AI 81

Responsible AI Natural Language Processing Explainability Large Language Models 81

AWS Machine Learning Blog

JANUARY 28, 2025

Furthermore, evaluation processes are important not only for LLMs, but are becoming essential for assessing prompt template quality, input data quality, and ultimately, the entire application stack. It consists of three main components: Data config Specifies the dataset location and its structure.

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LLM Large Language Models ML Algorithm 95

AWS Machine Learning Blog

FEBRUARY 21, 2025

He specializes in designing, building, and optimizing large-scale data solutions. At Amazon, he plays a key role in developing scalable data pipelines, improving data quality, and enabling actionable insights for reverse logistics and ReCommerce operations.

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LLM Large Language Models Natural Language Processing Machine Learning 111

Unite.AI

OCTOBER 22, 2024

At Appen, we work at the intersection of AI and data, and my experience has allowed me to lead the company and navigate complexities in the rapidly evolving AI space, moving through major developments like voice recognition, NLP, recommendation systems, and now generative AI.

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Natural Language Processing Generative AI Computer Vision Data Quality 130

Unite.AI

MAY 6, 2024

The bulk of Persistent Systems business comes from building software for enterprises, how has the advent of generative AI transformed how your team operates? The advent of generative AI (GenAI) has transformed how our team operates at Persistent, particularly in enterprise software development.

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Automation Software Engineer Generative AI Software Development 147

Marktechpost

DECEMBER 11, 2024

Image Source : LG AI Research Blog ([link] Responsible AI Development: Ethical and Transparent Practices The development of EXAONE 3.5 models adhered to LG AI Research s Responsible AI Development Framework, prioritizing data governance, ethical considerations, and risk management. model scored 70.2.

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AI Researcher AI Research Generative AI AI 87

Pickl AI

SEPTEMBER 2, 2024

Summary: Generative AI and predictive AI represent two distinct approaches within artificial intelligence. Generative AI focuses on creating new content by learning from existing data, while predictive AI analyses historical data to forecast future outcomes.

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ODSC - Open Data Science

DECEMBER 5, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here!

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Data Science Large Language Models Artificial Intelligence Artificial Intelligence 98

Unite.AI

JUNE 17, 2024

You’ve previously stated that service industries are the most likely to benefit from Generative AI, can you give some examples of this? Service industries, which rely heavily on human interaction and creative problem-solving, stand to gain significantly from Generative AI. One prime example is in customer service.

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AWS Machine Learning Blog

JULY 10, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) along with a broad set of capabilities to build generative artificial intelligence (AI) applications, simplifying development with security, privacy, and responsible AI.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. Anastasia Tzeveleka is a Senior Generative AI/ML Specialist Solutions Architect at AWS. Siamak Nariman is a Senior Product Manager at AWS.

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ML Machine Learning Auto-complete Auto-classification 89

TheSequence

DECEMBER 15, 2024

. 📝 Editorial: Models, Models, Models: The Most Amazing Week in Gen AI Releases As we are approaching the holidays it seems that every major AI lab decided to release their latest models. This efficiency is attributed to advancements in training techniques and the utilization of high-quality synthetic datasets.

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AWS Machine Learning Blog

JULY 11, 2024

This allows customers to further pre-train selected models using their own proprietary data to tailor model responses to their business context. The quality of the custom model depends on multiple factors including the training data quality and hyperparameters used to customize the model.

Automation 121

Automation Large Language Models Data Quality Machine Learning 121

Snorkel AI

JANUARY 26, 2024

The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Generic large language models (LLMs) are becoming the new baseline for modern enterprise AI. We say data is our biggest asset,” Sarthank said. Book a demo today.

LLM 64

LLM Data Science Large Language Models Explainability 64

ODSC - Open Data Science

OCTOBER 25, 2024

Focusing on multiple myeloma (MM) clinical trials, SEETrials showcases the potential of Generative AI to streamline data extraction, enabling timely, precise analysis essential for effective clinical decision-making. Want to take a deeper dive into topics like LLMs, Generative AI, Machine Learning, NLP, and more?

Data Scientist 52

Data Scientist Software Engineer Automation Machine Learning 52

ODSC - Open Data Science

OCTOBER 16, 2024

Sessions like “ Data exfiltration attacks in LLM products ” and “ Privacy and Security in the Age of Generative AI ” will delve into emerging threats like data exfiltration attacks through prompt injection, a technique where malicious code is inserted into user prompts to manipulate the LLM’s output.

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LLM Large Language Models Data Quality Responsible AI 40

John Snow Labs

SEPTEMBER 26, 2024

This presentation features real-world case-studies and examples, demonstrating the power of: validating clinician data-quality hypotheses with language models, using different NLP & LLM strategies for different datasets, and letting QA/QC statistics tell the story – so we know that we’re doing right by the patient.

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NLP LLM Data Quality Large Language Models 52

Snorkel AI

JANUARY 26, 2024

The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Generic large language models (LLMs) are becoming the new baseline for modern enterprise AI. We say data is our biggest asset,” Sarthank said. Book a demo today.

LLM 52

LLM Explainability Large Language Models Data Scientist 52

Topbots

DECEMBER 19, 2023

The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). One of the core themes of this year’s conference was the quest for more efficient AI systems. image and video generation with diffusion models).

Computer Vision 52

Computer Vision Natural Language Processing AI Researcher AI Research 52

Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. 2: Generative Adversarial Network (GAN). Generative Adversarial Networks (GANs) are a powerful deep learning technique for generating synthetic data that resembles real data.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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IBM Journey to AI blog

JULY 27, 2023

Trust is a leading factor in preventing stakeholders from implementing AI. In fact, IBV found that 67% of executives are concerned about potential liabilities of AI. Companies are increasingly receiving negative press for AI usage, damaging their reputation.

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Unite.AI

AUGUST 8, 2024

Most organizations today want to utilize large language models (LLMs) and implement proof of concepts and artificial intelligence (AI) agents to optimize costs within their business processes and deliver new and creative user experiences. Generative AI (GenAI) promises to go beyond software like co-pilot.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

Generative artificial intelligence (AI) has revolutionized this by allowing users to interact with data through natural language queries, providing instant insights and visualizations without needing technical expertise. This can democratize data access and speed up analysis.

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Software Architect Generative AI AI AI 111

Unite.AI

JULY 5, 2024

Robust data management is another critical element. Establishing strong information governance frameworks ensures data quality, security and regulatory compliance. How is generative AI currently being used to enhance healthcare treatments and improve patient outcomes?

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Data Integration Data Quality Algorithm AI Modeling 147

Unite.AI

SEPTEMBER 25, 2024

Understand the Technology Many enterprises enter the AI fray believing they are behind but not fully understanding why, how, or even what the technology is. As a result, their first task is distinguishing among different flavors of AI, beginning with precision AI vs. generative AI.

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Data Quality Machine Learning Deep Learning AI 182

ODSC - Open Data Science

SEPTEMBER 20, 2023

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. This day will have a strong focus on intermediate content, as well as several sessions appropriate for data practitioners at all levels. However, it will be the first day of ODSC Keynotes and expert-led talks.

Data Science 52

Data Science Large Language Models Machine Learning Python 52

Pickl AI

DECEMBER 10, 2024

As the global AI market, valued at $196.63 from 2024 to 2030, implementing trustworthy AI is imperative. This blog explores how AI TRiSM ensures responsible AI adoption. Key Takeaways AI TRiSM embeds fairness, transparency, and accountability in AI systems, ensuring ethical decision-making.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

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Snorkel AI

OCTOBER 31, 2023

However, one of the fundamental ways to improve quality and thereby trust and safety for models with billions of parameters is to improve the training data quality. Higher quality curated data is very important to fine-tune these large multi-task models. This challenge is not unique to government agencies.

Large Language Models 111

Large Language Models AI AI Data Quality 111

Snorkel AI

OCTOBER 31, 2023

However, one of the fundamental ways to improve quality and thereby trust and safety for models with billions of parameters is to improve the training data quality. Higher quality curated data is very important to fine-tune these large multi-task models. This challenge is not unique to government agencies.

Large Language Models 103

Large Language Models AI AI Data Quality 103

Unite.AI

NOVEMBER 21, 2024

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. Our own research at LTIMindtree, titled “ The State of Generative AI Adoption ,” clearly highlights these trends.

DevOps 147

DevOps Automation Responsible AI Software Development 147

Snorkel AI

OCTOBER 31, 2023

However, one of the fundamental ways to improve quality and thereby trust and safety for models with billions of parameters is to improve the training data quality. Higher quality curated data is very important to fine-tune these large multi-task models. This challenge is not unique to government agencies.

Large Language Models 52

Large Language Models AI AI Data Quality 52

AWS Machine Learning Blog

JANUARY 15, 2025

This post introduces HCLTechs AutoWise Companion, a transformative generative AI solution designed to enhance customers vehicle purchasing journey. Powered by generative AI services on AWS and large language models (LLMs) multi-modal capabilities, HCLTechs AutoWise Companion provides a seamless and impactful experience.

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LLM Metadata Generative AI Large Language Models 85

Pickl AI

DECEMBER 17, 2024

Quality data is more important than quantity for effective AI performance. AI creates new job opportunities rather than eliminating existing ones. Ethical considerations are crucial for responsible AI deployment and usage. Everyday applications of AI include virtual assistants and recommendation systems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 52