Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

ODSC - Open Data Science

FEBRUARY 13, 2025

The AI agent classified and summarized GenAI-related content from Reddit, using a structured pipeline with utility functions for API interactions, web scraping, and LLM-based reasoning. The session emphasized the accessibility of AI development and the increasing efficiency of AI-assisted software engineering.

Large Language Models 52

Large Language Models AI AI Automation 52

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. This data is again provided to an LLM, which is asked to answer the user’s query given the data. The relevant information is then provided to the LLM for final response generation.

Generative AI 124

Generative AI LLM AI AI 124

AWS Machine Learning Blog

SEPTEMBER 1, 2023

In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps). Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps.

Generative AI 124

Generative AI Prompt Engineering Prompt Engineer ML 124

Snorkel AI

MAY 1, 2024

phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker. The alternative: programmatic data development with Snorkel Flow Snorkel takes a data-centric approach to complex document and image classification challenges.

AI Development 52

AI Development AI Developer Machine Learning Data Scientist 52

Snorkel AI

MAY 1, 2024

phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker. The alternative: programmatic data development with Snorkel Flow Snorkel takes a data-centric approach to complex document and image classification challenges.

AI Development 52

AI Development AI Developer Machine Learning Data Scientist 52

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and ML Engineers seeking to build cutting-edge autonomous systems.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons.

ML 121

ML Python Data Scientist Deep Learning 121

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. FMEval helps in measuring evaluation dimensions such as accuracy, robustness, bias, toxicity, and factual knowledge for any LLM.

Large Language Models 108

Large Language Models Algorithm LLM Responsible AI 108

Towards AI

SEPTEMBER 22, 2023

As an AI practitioner, how do you feel about the recent AI developments? Besides your excitement for its new power, have you wondered how you can hold your position in the rapidly moving AI stream? However, with the advent of LLM, everything has changed. Is this the future of the ML engineer?

Prompt Engineering 59

Prompt Engineering Prompt Engineer ML ML Engineer 59

ODSC - Open Data Science

FEBRUARY 21, 2025

Evals for Supercharging Your AIAgents Aditya Palnitkar | Staff Software Engineer |Meta Testing and monitoring LLMs are often overlookedbut theyre critical to improving performance and development speed. Walk away with practical tools, curated Jupyter notebooks, and a roadmap for building robust LLM evaluation pipelines.

Data Scientist 52

Data Scientist Software Engineer LLM Neural Network 52

Chatbots Life

MAY 16, 2023

as a certified partner for delivering end-to-end Conversational AI professional services leveraging LivePerson’s Conversational Cloud. Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

Heartbeat

OCTOBER 5, 2023

To minimize project lifecycle friction and bridge the gap between developers and operations teams. Deploying LLM Agents: Integrating LLMs seamlessly into applications or systems for real-time interactions. LLM Observability: Monitor and analyze LLM behavior and performance to ensure they meet desired criteria.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineering 52

Bugra Akyildiz

MAY 14, 2023

A function can be expressed as either: an LLM AI prompt — also called a "semantic" function native computer code -- also called a "native" function When using native computer code, it's also possible to invoke an LLM AI prompt — which means that there can be functions that are hybrid LLM AI × native code as well.

Auto-classification 52

Auto-classification LLM ML Python 52

AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices.

ML 128

ML Generative AI AI AI 128

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

Generative AI 138

Generative AI ML LLM AI 138

TheSequence

NOVEMBER 5, 2023

Stability AI Releases Stability AI unveiled a series of new additions to its platform in areas such as image transformation, 3D and fine-tuning —> Read more. 🛠 Real World ML LLM Architectures at GitHub GitHub ML engineers discuss the architecture of LLMs apps —> Read more.

ML 52

ML Chatbots ML Engineer Big Data 52

AWS Machine Learning Blog

DECEMBER 4, 2024

They use fully managed services such as Amazon SageMaker AI to build, train and deploy generative AI models. Oftentimes, they also want to integrate their choice of purpose-built AI development tools to build their models on SageMaker AI. This increases the time it takes for customers to go from data to insights.

ML 135

ML Generative AI Data Scientist ML Engineer 135