AWS Machine Learning Blog

MAY 30, 2024

Prompt engineering Prompt engineering is crucial for the knowledge retrieval system. The prompt guides the LLM on how to respond and interact based on the user question. Prompts also help ground the model. langsmith==0.0.43 pgvector==0.2.3 streamlit==1.28.0 streamlit-extras==0.3.4

Chatbots 124

Chatbots Prompt Engineer Prompt Engineering Large Language Models 124

Towards AI

JANUARY 6, 2025

You may get hands-on experience in Generative AI, automation strategies, digital transformation, prompt engineering, etc. AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

AWS Machine Learning Blog

FEBRUARY 21, 2025

We use DSPy (Declarative Self-improving Python) to demonstrate the workflow of Retrieval Augmented Generation (RAG) optimization, LLM fine-tuning and evaluation, and human preference alignment for performance improvement. Examples are similar to Python dictionaries but with added utilities such as the dspy.Prediction as a return value.

LLM 80

LLM AI AI Data Scientist 80

Towards AI

JUNE 18, 2024

The principles of CNNs and early vision transformers are still important as a good background for ML engineers, even though they are much less popular nowadays. The book focuses on adapting large language models (LLMs) to specific use cases by leveraging Prompt Engineering, Fine-Tuning, and Retrieval Augmented Generation (RAG).

Large Language Models 79

Large Language Models Prompt Engineer Prompt Engineering LLM 79

AWS Machine Learning Blog

APRIL 25, 2023

With this new capability of the SageMaker Python SDK, data scientists can onboard their ML code to the SageMaker Training platform in a few minutes. In this release, you can run your local machine learning (ML) Python code as a single-node Amazon SageMaker training job or multiple parallel jobs.

Machine Learning 93

Machine Learning Data Scientist Python ML 93

AWS Machine Learning Blog

JULY 24, 2024

You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning. Fine-tuning an LLM can be a complex workflow for data scientists and machine learning (ML) engineers to operationalize. Each iteration can be considered a run within an experiment.

LLM 125

LLM ML Generative AI Machine Learning 125

AWS Machine Learning Blog

OCTOBER 4, 2023

In this post, we walk you through deploying a Falcon large language model (LLM) using Amazon SageMaker JumpStart and using the model to summarize long documents with LangChain and Python. SageMaker is a HIPAA-eligible managed service that provides tools that enable data scientists, ML engineers, and business analysts to innovate with ML.

LLM 110

LLM Large Language Models ML Data Scientist 110

Towards AI

FEBRUARY 20, 2025

But who exactly is an LLM developer, and how are they different from software developers and ML engineers? Machine learning engineers specialize in training models from scratch and deploying them at scale. Laufeyson5190 is learning ML basics and is inviting other beginners to create a study group. Meme of the week!

Neural Network 79

Neural Network Explainability LLM Software Development 79

Chatbots Life

MAY 12, 2023

We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers. Will ChatGPT replace software engineers? Will ChatGPT replace ML Engineers? We can ask the model to generate a python function or a recipe for a cheesecake. Will ChatGPT replace ML Engineers?

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ChatGPT Software Engineer NLP ML Engineer 90

ODSC - Open Data Science

NOVEMBER 25, 2024

Some of our most popular in-person sessions at ODSC East were: Tackling Socioeconomic Bias in Machine Learning Managing the Volatility of AI Applications Building High-Quality Domain-Specific Models with Mergekit: A Cost-Effective Approach Using Small Language Models Simulating Ourselves and Our Societies With Generative Agents Synthetic Data for Anonymization, (..)

Data Science 52

Data Science AI Engineer Machine Learning Prompt Engineer 52

The MLOps Blog

JUNE 27, 2023

Knowledge and skills in the organization Evaluate the level of expertise and experience of your ML team and choose a tool that matches their skill set and learning curve. For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc.,

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MARCH 1, 2023

This blog post details the implementation of generative AI-assisted fashion online styling using text prompts. Machine learning (ML) engineers can fine-tune and deploy text-to-semantic-segmentation and in-painting models based on pre-trained CLIPSeq and Stable Diffusion with Amazon SageMaker.

Generative AI 96

Generative AI AI AI Auto-classification 96

ODSC - Open Data Science

JANUARY 10, 2024

You will also become familiar with the concept of LLM as a reasoning engine that can power your applications, paving the way to a new landscape of software development in the era of Generative AI.

Large Language Models 52

Large Language Models Deep Learning Data Science LLM 52

Heartbeat

JULY 17, 2023

Prerequisites To follow along with this tutorial, make sure you: Use a Google Colab Notebook to follow along Install these Python packages using pip: CometML , PyTorch, TorchVision, Torchmetrics and Numpy, Kaggle %pip install - upgrade comet_ml>=3.10.0 !pip What comes out is amazing AI-generated art!

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 3, 2025

In this hands-on session, attendees will learn practical techniques like model testing across diverse scenarios, prompt engineering , hyperparameter optimization , fine-tuning , and benchmarking models in sandbox environments. Cloning NotebookLM with Open Weights Models Niels Bantilan, Chief ML Engineer atUnion.AI

LLM 40

LLM AI AI Prompt Engineer 40

The MLOps Blog

AUGUST 3, 2023

This is Piotr Niedźwiedź and Aurimas Griciūnas from neptune.ai , and you’re listening to ML Platform Podcast. Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. You could almost think of Hamilton as DBT for Python functions. Piotr: This is procedural Python code.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

Data scientists collaborate with ML engineers to transition code from notebooks to repositories, creating ML pipelines using Amazon SageMaker Pipelines, which connect various processing steps and tasks, including pre-processing, training, evaluation, and post-processing, all while continually incorporating new production data.

LLM 104

LLM Data Scientist Algorithm Generative AI 104