AWS Machine Learning - AI

NOVEMBER 20, 2024

The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. The relevance of this context directly impacts the model’s ability to generate accurate and contextually appropriate responses.

Artificial Inteligence 106

Artificial Inteligence Applications Knowledge Base Generative AI 106

AWS Machine Learning - AI

OCTOBER 16, 2024

The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows. Some local shows feature Flemish dialects, which can be difficult for some large language models (LLMs) to understand. The secondary LLM is used to evaluate the summaries on a large scale.

Media 107

Media Video Artificial Inteligence Generative AI 107

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

Artificial Inteligence 88

Artificial Inteligence Generative AI Training Metrics 88

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Train new adapters for an LLM.

Artificial Inteligence 87

Artificial Inteligence Training Machine Learning Performance 87

AWS Machine Learning - AI

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

Artificial Inteligence 80

Artificial Inteligence AWS Machine Learning Load Balancer 80

O'Reilly Media - Ideas

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost.

Artificial Inteligence 127

Artificial Inteligence Construction Open Source Training 127

AWS Machine Learning - AI

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.

Artificial Inteligence 93

Artificial Inteligence Systems Review System Generative AI 93

CIO

JUNE 5, 2024

No one would dispute that artificial intelligence (AI) is reimaging how businesses and entire industries operate. Yet, as the hype around AI and machine learning intensifies, so does the number of AI buzzwords designed lure and distract. Foundation models are used for broader applications.

Artificial Inteligence 190

Artificial Inteligence Artificial Intelligence Machine Learning Examples 190

TechCrunch

OCTOBER 27, 2020

Deci’s insights screen combines all indicators of a deep learning model’s expected behavior in production, resulting in the Deci Score — a single metric summarizing the overall performance of the model. Image Credits: Deci. ”

Artificial Inteligence 270

Artificial Inteligence Artificial Intelligence Machine Learning Healthcare 270

TechCrunch

OCTOBER 29, 2021

While at Wish, we learned that to offer the right shopping experience, you had to do absolute personalization,” Li told TechCrunch. That was done with machine learning engineers, but when I left Wish and was advising brands, I found that what we had at Wish was rare. Social commerce startup Social Chat is out to change that.

Social 260

Social Artificial Inteligence Technical Advisors Machine Learning 260

TechCrunch

FEBRUARY 11, 2022

Artificial intelligence has infiltrated a number of industries, and the restaurant industry was one of the latest to embrace this technology, driven in main part by the global pandemic and the need to shift to online orders. That need continues to grow. billion by 2025.

Artificial Inteligence 311

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 311

Perficient

NOVEMBER 20, 2024

Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.

Artificial Inteligence 52

Artificial Inteligence Metrics Airlines Travel 52

TechCrunch

JUNE 2, 2021

While early on, the questions were about how to build machine learning models, today the problem is how to build predictable processes around machine learning, especially in large organizations with sizable teams. He noted that the industry has changed quite a bit since then. Image Credits: Iterative.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

AWS Machine Learning - AI

NOVEMBER 7, 2024

You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Prompt catalog – Crafting effective prompts is important for guiding large language models (LLMs) to generate the desired outputs. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 103

Generative AI AWS Artificial Inteligence Enterprise 103

AWS Machine Learning - AI

MARCH 14, 2025

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.

Knowledge Base 84

Knowledge Base Applications Artificial Inteligence Generative AI 84

AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers.

Generative AI 102

Generative AI Video Engineering Artificial Inteligence 102

AWS Machine Learning - AI

NOVEMBER 15, 2024

Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features.

Generative AI 112

Generative AI AWS Groups Artificial Inteligence 112

TechCrunch

NOVEMBER 14, 2021

And, we’ve also seen big advances in artificial intelligence. One thing that has clearly advanced substantially in the past decade or so is artificial intelligence. This sheer volume of data we are able to access, process and feed into models has changed AI from science fiction into reality in a few short years.

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

AWS Machine Learning - AI

MARCH 11, 2025

DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. We demonstrate how to deploy these models on SageMaker AI inference endpoints.

Artificial Inteligence 69

Artificial Inteligence AWS Generative AI Metrics 69

AWS Machine Learning - AI

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. This post focused is on Amazon Bedrock, but it can be extended to broader machine learning operations (MLOps) workflows or integrated with other AWS services such as AWS Lambda or Amazon SageMaker.

Generative AI 100

Generative AI Applications AWS Knowledge Base 100

TechCrunch

SEPTEMBER 8, 2022

But a particular category of startup stood out: those applying AI and machine learning to solve problems, especially for business-to-business clients. The platform is powered by large language models (think GPT-3) that reference several sources to find the most likely answers, according to co-founder Michael Royzen.

Artificial Inteligence 228

Artificial Inteligence Machine Learning Quality Assurance Software Engineering 228

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

Artificial Inteligence 73

Artificial Inteligence Architecture Machine Learning Metrics 73

N2Growth Blog

DECEMBER 4, 2024

Technologies such as artificial intelligence and machine learning allow for sophisticated segmentation and targeting, enhancing the relevance and impact of marketing messages. Joint Metrics: Developing shared key performance indicators (KPIs) to measure success collectively.

Digital Marketing 138

Digital Marketing Marketing Artificial Inteligence Culture 138

TechCrunch

DECEMBER 22, 2020

Conti acknowledged that there’s other discount-optimizing software out there, but he suggested none of them offers what Bandit ML does: “off the shelf tools that use machine learning the way giants like Uber, Amazon and Walmart do.”

Off-The-Shelf 299

Off-The-Shelf Artificial Inteligence Machine Learning .Net 299

AWS Machine Learning - AI

MARCH 5, 2025

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. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

Generative AI 74

Generative AI Systems Review Artificial Inteligence Software Review 74

CIO

OCTOBER 30, 2024

Quantum Metric is here to help your business harness the power of Gen AI. As Gen AI capabilities expand, so too will the opportunities for innovation and differentiation. Those who act now will lead the charge, setting new standards for what it means to deliver meaningful, impactful digital experiences in the years to come.

Analytics 193

Analytics Metrics Analysis Research 193

AWS Machine Learning - AI

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.

Artificial Inteligence 120

Artificial Inteligence Generative AI Training AWS 120

AWS Machine Learning - AI

NOVEMBER 1, 2024

Metrics can be graphed by application inference profile, and teams can set alarms based on thresholds for tagged resources. With the introduction of application inference profiles, organizations need to retrieve the inference profile ARN to invoke model inference for on-demand foundation models.

Generative AI 130

Generative AI AWS Artificial Inteligence Budget 130

CIO

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. This allows us to excel in this space, and we can see some real-time ROI into those analytic solutions.”

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

TechCrunch

NOVEMBER 13, 2020

Here are the top five things that fell into the “learning and exploring” cohort, in ranked order: Blockchain. AI/machine learning. AI/machine learning. There’s already a clear understanding of at least some of the use cases or problems that need solving, and return-on-investment metrics have been established.

Technology 337

Technology Enterprise Company Survey 337

AWS Machine Learning - AI

MARCH 18, 2025

This application allows users to ask questions in natural language and then generates a SQL query for the users request. Large language models (LLMs) are trained to generate accurate SQL queries for natural language instructions. However, off-the-shelf LLMs cant be used without some modification.

Artificial Inteligence 76

Artificial Inteligence Applications Generative AI Off-The-Shelf 76

Hacker Earth Developers Blog

AUGUST 2, 2022

Artificial intelligence has generated a lot of buzz lately. More than just a supercomputer generation, AI recreated human capabilities in machines. Hiring activities of a company are mainly outsourced to third-party AI recruitment agencies that run machine learning-based algorithmic expressions on candidate profiles.

Software Engineering 246

Software Engineering Engineering Artificial Inteligence Software 246

CIO

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain. Don’t use generative AI for a problem that classical machine learning has already solved.

Artificial Inteligence 168

Artificial Inteligence Generative AI ChatGPT Machine Learning 168

Xebia

JANUARY 30, 2024

How to create unique content with Large Language Models Do you sometimes struggle with creating content? Whether it’s a blog/manual/podcast you’re trying to produce, Large Language Models can help you to create unique content if you use them correctly. For our LLM, I’ve selected GPT-4.

Artificial Inteligence 147

Artificial Inteligence Azure Artificial Intelligence Video 147

CIO

MAY 13, 2024

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

Artificial Inteligence 183

Artificial Inteligence Generative AI Artificial Intelligence Government 183

AWS Machine Learning - AI

MARCH 20, 2025

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats.

Data 102

Data Generative AI Artificial Inteligence Compliance 102

AWS Machine Learning - AI

MARCH 3, 2025

This design simplifies the complexity of distributed training while maintaining the flexibility needed for diverse machine learning (ML) workloads, making it an ideal solution for enterprise AI development. The SageMaker training job will compute ROUGE metrics for both the base DeepSeek-R1 Distill Qwen 7B model and the fine-tuned one.

Artificial Inteligence 79

Artificial Inteligence Generative AI AWS Training 79