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

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

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

Snorkel AI

MARCH 20, 2025

However, if we can capture SME domain knowledge in the form of well-defined acceptance criteria, and scale it via automated, specialized evaluators, we can accelerate evaluation exponentially from several weeks or more to a few hours or less. Its far more likely that the AI/ML engineer needs to go back and continue iterating on the prompt.

ML Engineer 59

ML Engineer Automation Prompt Engineer Prompt Engineering 59

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. It provides algorithms for optimizing LLMs prompts and weights, and automates the prompt tuning process, as opposed to the trial-and-error approach performed by humans.

LLM 79

LLM AI AI Data Scientist 79

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. They should also offer version control capabilities to manage the changes and revisions of ML artifacts, ensuring reproducibility and facilitating effective teamwork.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

TheSequence

NOVEMBER 12, 2023

📌 ML Engineering Event: Join Meta, PepsiCo, RiotGames, Uber & more at apply(ops) apply(ops) is in two days! PromptIDE Elon Musk’s xAI announced PromptIDE, a development environment for prompt engineering —> Read more. It’s what makes this market so fascinating. million in funding.

OpenAI 64

OpenAI Generative AI ML Prompt Engineer 64

AWS Machine Learning Blog

MAY 9, 2024

Lifecycle management Within the AI/ML CoE, the emphasis on scalability, availability, reliability, performance, and resilience is fundamental to the success and adaptability of AI/ML initiatives. Incident management AI/ML solutions need ongoing control and observation to manage any anomalous activities. Vikram Elango is a Sr.

ML 126

ML Generative AI AI AI 126

Heartbeat

OCTOBER 5, 2023

Automation is critical, with techniques like pre-trained models, active learning, or weak supervision methods. Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. The focus shifts towards prompt engineering and fine-tuning.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

Snorkel AI

JUNE 9, 2023

These models will help automate manual processes and improve insurance companies’ abilities to find the right buyers for the right products. Among other topics, he highlighted how visual prompts and parameter-efficient models enable rapid iteration for improved data quality and model performance.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

These models will help automate manual processes and improve insurance companies’ abilities to find the right buyers for the right products. Among other topics, he highlighted how visual prompts and parameter-efficient models enable rapid iteration for improved data quality and model performance.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 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

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 ML LLM 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. Those metrics serve as a useful tool for automated evaluation, providing quantitative measures of lexical similarity between generated and reference text.

LLM 101

LLM Data Scientist Algorithm Generative AI 101

AWS Machine Learning Blog

DECEMBER 17, 2024

This presents an opportunity to augment and automate the existing content creation process using generative AI. Through fine-tuning, we generate content that mimics the TUI brand voice using static data and which could not be captured through prompt engineering. The second phase used a different LLM model for post-processing.

LLM 90

LLM Prompt Engineer Prompt Engineering Generative AI 90

Marktechpost

NOVEMBER 14, 2024

That’s why we provide an end-to-end platform backed by a dedicated team of ML engineers to help you every step of the way. This enabled them to replace manual review with real-time automated decisions, meeting tight latency SLAs and improving customer experience. That’s where smaller, task-specific models come in.

Neural Network 128

Neural Network Deep Learning Machine Learning Generative AI 128