Unite.AI

SEPTEMBER 11, 2023

To actualize an agile, flexible software architecture that can adapt to dynamic programming tasks. Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. The post MetaGPT: Complete Guide to the Best AI Agent Available Right Now appeared first on Unite.AI.

Python 328

Python Software Development OpenAI Software Engineer 328

Flipboard

JUNE 13, 2023

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying. ” Kevin Leneway.

Generative AI 181

Generative AI Auto-complete Software Engineer AI 181

AWS Machine Learning Blog

APRIL 20, 2023

A complete example is available in our GitHub notebook. To run the Inference Recommender job, complete the following steps: Create a SageMaker model by specifying the framework, version, and image scope: model = Model( model_data=model_url, role=role, image_uri = sagemaker.image_uris.retrieve(framework="xgboost", region=region, version="1.5-1",

ML 93

ML Auto-classification Python Auto-complete 93

AWS Machine Learning Blog

APRIL 16, 2024

To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret. Complete the following steps: On the Secrets Manager console, choose Store a new secret. The way you craft a prompt can profoundly influence the nature and usefulness of the AI’s response.

Data Scientist 110

Data Scientist Generative AI Machine Learning Auto-complete 110

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. Can you see the complete model lineage with data/models/experiments used downstream? Is it fast and reliable enough for your workflow?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Snorkel AI

MARCH 2, 2023

From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. So the application started to go from the pure software-engineering/machine-learning domain to industry and the sciences, essentially.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. So the application started to go from the pure software-engineering/machine-learning domain to industry and the sciences, essentially.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52