Towards AI

MAY 30, 2024

The broad range of topics covered with easy to understand examples will help any readers, and developers be in the know of the theory behind LLMs, prompt engineering, RAG, orchestration platforms and more. The defacto manual for AI Engineering. I highly recommend this book.” Seriously, pick it up.” Ahmed Moubtahij, ing.,

Prompt Engineering 108

Prompt Engineering Prompt Engineer LLM NLP 108

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. These factors led to the selection of Amazon Aurora PostgreSQL as the store for vector embeddings.

Chatbots 130

Chatbots Prompt Engineering Prompt Engineer Large Language Models 130

AWS Machine Learning Blog

MARCH 13, 2024

The audio moderation workflow uses Amazon Transcribe Toxicity Detection, which is a machine learning (ML)-powered capability that uses audio and text-based cues to identify and classify voice-based toxic content across seven categories, including sexual harassment, hate speech, threats, abuse, profanity, insults, and graphic language.

Natural Language Processing 136

Natural Language Processing LLM Prompt Engineering Prompt Engineer 136

The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. Pay-as-you-go pricing makes it easy to scale when needed.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

TheSequence

JANUARY 19, 2024

You probably don’t need ML engineers In the last two years, the technical sophistication needed to build with AI has dropped dramatically. ML engineers used to be crucial to AI projects because you needed to train custom models from scratch. Instead, Twain employs linguists and salespeople as prompt engineers.

Prompt Engineer 59

Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

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. Machine learning engineers specialize in training models from scratch and deploying them at scale.

Neural Network 79

Neural Network Explainability LLM Software Development 79

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 129

LLM ML Generative AI Machine Learning 129

AWS Machine Learning Blog

FEBRUARY 21, 2025

The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components. The following diagram compares predictive AI to generative AI.

LLM 95

LLM AI AI Data Scientist 95

Towards AI

SEPTEMBER 22, 2023

One example is prompt engineering. Prompt engineering has proved to be very useful. Many techniques have been developed, like in-context learning, chain of thoughts, tree of thoughts, etc. Some people foresaw the emergence of prompt engineer as a new title. Is this the future of the ML engineer?

Prompt Engineer 59

Prompt Engineer Prompt Engineering ML ML Engineer 59

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 Engineering Prompt Engineer LLM 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? A solution to this problem presented by OpeanAI is reinforcement learning. Will ChatGPT replace ML Engineers?

ChatGPT 90

ChatGPT Software Engineer NLP ML Engineer 90

ODSC - Open Data Science

NOVEMBER 25, 2024

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Top Sessions With sessions both online and in-person in South San Francisco, there was something for everyone at ODSC East.

Data Science 52

Data Science AI Engineer Prompt Engineering Prompt Engineer 52

AWS Machine Learning Blog

OCTOBER 4, 2023

Solution overview Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices. In SageMaker Studio, choose the upload icon and upload the file to your SageMaker Studio instance.

LLM 119

LLM Large Language Models ML Data Scientist 119

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 103

Generative AI AI AI Auto-classification 103

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. This is where the world of operations steps in, and while MLOps (Machine Learning Operations) has been a guiding light, a new paradigm is emerging — LLMOps (Large Language Model Operations).

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineering 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. AI development stack: AutoML, ML frameworks, no-code/low-code development. The free virtual conference is the largest annual gathering of the data-centric AI community.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. AI development stack: AutoML, ML frameworks, no-code/low-code development. The free virtual conference is the largest annual gathering of the data-centric AI community.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

JUNE 9, 2023

Accelerate ML Adoption by Addressing Hidden Needs Max Williams, AI platform product manager at Wells Fargo , discussed the challenges of achieving a return on investment in machine learning as well as the hidden needs an organization must address for ML to gain widespread adoption and deliver attractive returns.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Accelerate ML Adoption by Addressing Hidden Needs Max Williams, AI platform product manager at Wells Fargo , discussed the challenges of achieving a return on investment in machine learning as well as the hidden needs an organization must address for ML to gain widespread adoption and deliver attractive returns.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

ODSC - Open Data Science

JANUARY 10, 2024

Using Graphs for Large Feature Engineering Pipelines Wes Madrigal | ML Engineer | Mad Consulting This talk will outline the complexity of feature engineering from raw entity-level data, the reduction in complexity that comes with composable compute graphs, and an example of the working solution.

Large Language Models 52

Large Language Models Deep Learning LLM Data Science 52

Heartbeat

JULY 17, 2023

Comet, a cloud-based machine learning platform, offers a powerful solution for tracking, comparing, and benchmarking fine-tuned models, allowing users to easily analyze and visualize their performance. Comet allows ML engineers to track these metrics in real-time and visualize their performance using interactive dashboards.

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

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. We want to stop the pain and suffering people feel with maintaining machine learning pipelines in production.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

ML operationalization summary As defined in the post MLOps foundation roadmap for enterprises with Amazon SageMaker , ML and operations (MLOps) is the combination of people, processes, and technology to productionize machine learning (ML) solutions efficiently.

Generative AI 126

Generative AI Prompt Engineering Prompt Engineer ML 126

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. AI/ML Specialist Solutions Architect at AWS, based in Virginia, US. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.

ML 132

ML Generative AI AI AI 132

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Generative AI 137

Generative AI LLM ML AI 137

AWS Machine Learning Blog

NOVEMBER 29, 2023

With these tools in hand, the next challenge is to integrate LLM evaluation into the Machine Learning and Operation (MLOps) lifecycle to achieve automation and scalability in the process. After the selection of the model(s), prompt engineers are responsible for preparing the necessary input data and expected output for evaluation (e.g.

LLM 117

LLM Data Scientist Algorithm Generative AI 117

AWS Machine Learning Blog

DECEMBER 17, 2024

Amazon SageMaker helps data scientists and machine learning (ML) engineers build FMs from scratch, evaluate and customize FMs with advanced techniques, and deploy FMs with fine-grain controls for generative AI use cases that have stringent requirements on accuracy, latency, and cost.

LLM 101

LLM Prompt Engineering Prompt Engineer Generative AI 101

Marktechpost

NOVEMBER 14, 2024

Prior he was an ML product leader at Google working across products like Firebase, Google Research and the Google Assistant as well as Vertex AI. While there, Dev was also the first product lead for Kaggle – a data science and machine learning community with over 8 million users worldwide.

Neural Network 128

Neural Network Deep Learning Machine Learning Generative AI 128