Apiumhub

MARCH 26, 2019

2019 has become a remarkable year for Apiumhub ; new office, Apium Academy , Open Source Projects , software architecture meetups, cool innovative projects and… we can’t wait to share with you guys that the Apiumhub team is organizing the Global Software Architecture Summit (GSAS) 10th of October in Barcelona. Michael Feathers.

Software Review 44

Software Review Architecture Technical Review Software 44

AWS Machine Learning - AI

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. Then we introduce you to a more versatile architecture that overcomes these limitations.

Artificial Inteligence 94

Artificial Inteligence Analytics Knowledge Base Lambda 94

AWS Machine Learning - AI

APRIL 24, 2024

It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks. This is based on the instructions that are interpreted by the assistant as per the system prompt and user’s input. Additionally, you can access device historical data or device metrics.

Artificial Inteligence 100

Artificial Inteligence Lambda Generative AI Knowledge Base 100

AWS Machine Learning - AI

MAY 9, 2024

Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture. In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results.

Generative AI 107

Generative AI Artificial Inteligence Technical Review Development Team Review 107

AWS Machine Learning - AI

MAY 7, 2024

For a generative AI powered Live Meeting Assistant that creates post call summaries, but also provides live transcripts, translations, and contextual assistance based on your own company knowledge base, see our new LMA solution. Jahed Zaïdi is an AI & Machine Learning specialist at AWS Professional Services in Paris.

Artificial Inteligence 97

Artificial Inteligence Meeting Generative AI AWS 97

AWS Machine Learning - AI

MAY 13, 2024

Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline. To implement our RAG system, we utilized a dataset of 95,000 radiology report findings-impressions pairs as the knowledge source. promptTemplate = f""" You have to generate radiology report impressions based on the following findings.

Generative AI 97

Generative AI Artificial Inteligence Report Healthcare 97

AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

Artificial Inteligence 103

Artificial Inteligence Generative AI AWS Load Balancer 103

AWS Machine Learning - AI

MARCH 14, 2024

The following figure illustrates this architecture. The unified, scalable pipeline we developed allows the PGA TOUR to scale to their full history of data, some of which goes back to the 1800s. She loves working with customers, understanding their requirements and providing them with scalable, easy to adopt UI/UX solutions.

Generative AI 93

Generative AI Artificial Inteligence Virtualization UI/UX 93

AWS Machine Learning - AI

MARCH 14, 2024

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. Scalability – Indexing and retrieving from large corpora allows the approach to scale better compared to using the full corpus during generation.

Generative AI 97

Generative AI AWS Applications Artificial Inteligence 97

Altexsoft

SEPTEMBER 9, 2022

Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. You can get more information about data labeling in machine learning from another post (it’s one of the main steps of preparing datasets for ML). Ensure its scalability and integrability.

Tools 59

Tools Technical Review Software Review Systems Review 59

AWS Machine Learning - AI

FEBRUARY 1, 2024

The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. Scalability – How many vectors can the system hold? This pattern achieves a statically stable architecture, which is a resiliency best practice.

Generative AI 104

Generative AI Disaster Recovery Artificial Inteligence AWS 104

AWS Machine Learning - AI

JUNE 5, 2024

To build your own content creation solution, you collect your corpus into a knowledge base, vectorize it, and store it in a vector database. Technical writer by day and engineer by night, he’s passionate about intuitive and scalable developer experiences and likes diving into the deep end as the 0th developer.

Technical Review 85

Technical Review Artificial Inteligence Generative AI Systems Review 85

iTexico

AUGUST 9, 2019

This billing plan tends to be fairly agile, as you retain the options for cancellation, exchanging regions, and scalability. However, while reserved capacity billing can be cost-effective for the right people, the more appealing benefit that Microsoft Azure provides for billing structure lies in its resource consumption-based model.

Azure 8

Azure Cloud Disaster Recovery Data Center 8

AWS Machine Learning - AI

JANUARY 31, 2024

This post was co-written with Ricardo Perdigao, Solution Architecture Manager at Mendix, a Siemens business. By taking advantage of the robust cloud infrastructure of AWS, Mendix was able to provide a secure, scalable, and reliable solution for enterprises across the globe.

Generative AI 76

Generative AI AWS Innovation Artificial Inteligence 76