Unite.AI

SEPTEMBER 27, 2023

Having been there for over a year, I've recently observed a significant increase in LLM use cases across all divisions for task automation and the construction of robust, secure AI systems. Both data and LLM models can save banks and other financial services millions by enhancing automation, efficiency, accuracy, and more.

Generative AI 304

Generative AI Large Language Models Prompt Engineer Prompt Engineering 304

Unite.AI

SEPTEMBER 11, 2023

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. In simple terms, it's as if you've turned a highly coordinated team of software engineers into an adaptable, intelligent software system.

Python 328

Python OpenAI Software Development Software Engineer 328

AWS Machine Learning Blog

MAY 1, 2024

It allows you to retrieve data from sources beyond the foundation model, enhancing prompts by integrating contextually relevant retrieved data. You can use prompt engineering to prevent hallucination and make sure that the answer is grounded in the source documentations. He holds a Masters degree in Software Engineering.

Chatbots 98

Chatbots Automation Machine Learning DevOps 98

ODSC - Open Data Science

JULY 7, 2023

Most of the discussions have focused on the implications for writers, designers, software engineers, researchers, lawyers, and administrative workers. This brings up the idea of ‘prompt engineering’ as a specific skill, or even role — but this slightly misses the point.

Explainability 59

Explainability AI AI Data Science 59

AWS Machine Learning Blog

MARCH 4, 2024

The engineering team experienced the immediate ease of getting started with Amazon Bedrock. They could select from various foundation models and start focusing on prompt engineering instead of spending time on right-sizing, provisioning, deploying, and configuring resources to run the models. Iterative train and evaluate cycles.

NLP 101

NLP LLM Prompt Engineer Prompt Engineering 101

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Specific use case: Automate issue resolution for employees based on corporate guidelines. He holds a Master’s degree in Software Engineering and IT from Oakland University. He has a prior experience in software development, specifically in building microservices for distributed web applications.

Generative AI 93

Generative AI LLM Large Language Models Software Engineer 93

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

AWS Machine Learning Blog

APRIL 20, 2023

You need recommendations on finding the most cost-effective ML serving infrastructure and the right combination of software configuration to achieve the best price-performance to scale these applications. John Barboza is a Software Engineer at AWS. Mohan Gandhi is a Senior Software Engineer at AWS.

ML 79

ML Auto-classification Python Auto-complete 79

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

Unite.AI

MARCH 13, 2024

Advanced techniques like transfer learning, retrieval-augmented generation, and prompt engineering are often employed to enhance the model's performance and adapt it to the target domain.

Large Language Models 204

Large Language Models Natural Language Processing LLM Data Scarcity 204

Mlearning.ai

JUNE 16, 2023

Game changer ChatGPT in Software Engineering: A Glimpse Into the Future | HackerNoon Generative AI for DevOps: A Practical View - DZone ChatGPT for DevOps: Best Practices, Use Cases, and Warnings. However, writing test is time-consuming, often ignored which causes bad software quality. The data would be interesting to analyze.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

AWS Machine Learning Blog

AUGUST 23, 2023

Persistent Systems, a global digital engineering provider, has run several pilots and formal studies with Amazon CodeWhisperer that point to shifts in software engineering, generative AI-led modernization, responsible innovation, and more.

Software Engineer 74

Software Engineer Generative AI Prompt Engineer Prompt Engineering 74

Flipboard

NOVEMBER 24, 2023

This emergent ability in LLMs has compelled software developers to use LLMs as an automation and UX enhancement tool that transforms natural language to a domain-specific language (DSL): system instructions, API requests, code artifacts, and more. The JSON artifact is directly integrated to the core SnapLogic integration platform.

ETL 112

ETL Prompt Engineer Prompt Engineering Generative AI 112

The MLOps Blog

JUNE 5, 2023

One of the hardest things about MLOps today is that a lot of data scientists aren’t native software engineers, but it may be possible to lower the bar to software engineering. I’ve seen tools that help you write and author pull requests more efficiently, and that help automate building documentation.

Large Language Models 52

Large Language Models Machine Learning Software Engineer ML 52