Pickl AI

JANUARY 23, 2023

People don’t even need the in-depth knowledge of the various machine learning algorithms as it contains pre-built libraries. Provides modularity as a series of completely configurable, independent modules that can be combined with the fewest restrictions possible. It is very fast and supports GPU.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

The MLOps Blog

JULY 18, 2023

Then we subsequently try to run audio fingerprinting type algorithms on top of it so that we can actually identify specifically who those people are if we’ve seen them in the past. We need to do that, but we don’t really know what those topics are, so we use some algorithms. We call it our “format stage.”

Conversational AI 52

Conversational AI Natural Language Processing Machine Learning AI 52

AWS Machine Learning Blog

NOVEMBER 14, 2024

Optionally, if Account A and Account B are part of the same AWS Organizations, and the resource sharing is enabled within AWS Organizations, then the resource sharing invitation are auto accepted without any manual intervention. Following are the steps completed by using APIs to create and share a model package group across accounts.

ML 98

ML Machine Learning Auto-complete Auto-classification 98

AWS Machine Learning Blog

SEPTEMBER 24, 2024

Technical Debt Mitigation : Amazon SageMaker , being a managed service, allowed us to free our ML engineers from the burden of inference, enabling them to focus more on our core platform features—this relief from technical debt is a significant advantage of using SageMaker, reassuring us of its efficiency. Amazon SageMaker and Karini.ai

Data Ingestion 118

Data Ingestion Machine Learning Large Language Models Generative AI 118

AWS Machine Learning Blog

JULY 23, 2024

is an auto-regressive language model that uses an optimized transformer architecture. 405B-Instruct You can use Llama models for text completion for any piece of text. Dr. Kyle Ulrich is an Applied Scientist with the Amazon SageMaker built-in algorithms team. The Llama 3.1 At its core, Llama 3.1 8B Meta-Llama-3.1-70B

Machine Learning 123

Machine Learning Computer Vision Python ML 123

The MLOps Blog

DECEMBER 29, 2022

People will auto-scale up to 10 GPUs to handle the traffic. Does it mean that the production code has to be rewritten by, for example, ML engineers manually to be optimized for GPU with each update? Each of them may be with separate resource constraints, auto-scaling policies, and such. That’ll be easier short term.

ML 52

ML Auto-complete Machine Learning Python 52

Mlearning.ai

MAY 3, 2023

Large Language Models & Frameworks used — Overview Large language models or LLMs are AI algorithms trained on large text corpus, or multi-modal datasets, enabling them to understand and respond to human queries in a very natural human language way. The complete code of the APP can be found here. It uses OpenAI’s GPT-4 or GPT-3.5

Large Language Models 52

Large Language Models Python Auto-complete Natural Language Processing 52

AWS Machine Learning Blog

OCTOBER 24, 2024

After the model has completed training, you will be routed to the Analyze tab. Note that your numbers might differ from the ones you see in the following figure, because of the stochastic nature of the ML process. You’ll see the following after the batch prediction is complete. Now the model is being created.

Machine Learning 110

Machine Learning ML Auto-complete Data Scientist 110