Remove Blog Remove Data Integration Remove DevOps Remove NLP
article thumbnail

Accenture creates a Knowledge Assist solution using generative AI services on AWS

AWS Machine Learning Blog

Each request/response interaction is facilitated by the AWS SDK and sends network traffic to Amazon Lex (the NLP component of the bot). Shuyu Yang is Generative AI and Large Language Model Delivery Lead and also leads CoE (Center of Excellence) Accenture AI (AWS DevOps professional) teams.

article thumbnail

Scaling Language Models with LLMOps in Real-World Applications

Heartbeat

It involves establishing a standard workflow for training LLMs, fine-tuning (hyper) parameters, deploying them, and collecting and analyzing data (aka response monitoring). However, you must be careful to avoid data privacy scandals by gaining their consent. However, selecting an LLM that best fits your project is no walk in the park.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Google improves upon NIMA(Neural Image Assessment) through MUSIQ

Bugra Akyildiz

AI for DevOps to infuse AI/ML into the entire software development lifecycle to achieve high productivity. SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving.

ML 52
article thumbnail

Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

I switched from analytics to data science, then to machine learning, then to data engineering, then to MLOps. For me, it was a little bit of a longer journey because I kind of had data engineering and cloud engineering and DevOps engineering in between. You shifted straight from data science, if I understand correctly.

ML 52