Flipboard

JULY 17, 2023

The practical implementation of a Large Language Model (LLM) for a bespoke application is currently difficult for the majority of individuals. Stochastic has a team of bright ML engineers, postdocs, and Harvard grad students focusing on optimizing and speeding up AI for LLMs.

Large Language Models 65

Large Language Models LLM ML Engineer ML 65

Marktechpost

JUNE 19, 2024

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 124

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. It also includes guidance on using Google Tools to develop your own Generative AI applications.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

AWS Machine Learning Blog

MARCH 22, 2024

Bringing Amazon Bedrock to Contentful means that digital teams can now use a range of leading large language models to unlock their creativity, create more efficiently, and reach their customers in the most impactful way. Contentful is an AWS customer and partner. About the Authors Ulrich Hinze is a Solutions Architect at AWS.

Large Language Models 121

Large Language Models Natural Language Processing Software Engineer NLP 121

ODSC - Open Data Science

MARCH 10, 2025

With real-world examples from regulated industries, this session equips data scientists, ML engineers, and risk professionals with the skills to build more transparent and accountable AIsystems.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

Towards AI

FEBRUARY 18, 2025

In this post, I want to shift the conversation to how Deepseek is redefining the future of machine learning engineering. It has already inspired me to set new goals for 2025, and I hope it can do the same for other ML engineers. It is fascinating what Deepseek has achieved with their top noche engineering skill.

ML Engineer 100

ML Engineer LLM Data Quality Algorithm 100

Marktechpost

JUNE 14, 2024

Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced these challenges become. ML engineers can leverage this tool to enhance the efficiency of their LLM training processes.

LLM 120

LLM AI Tools Large Language Models ML Engineer 120

Marktechpost

DECEMBER 1, 2024

Simplified Synthetic Data Generation Designed to generate synthetic datasets using either local large language models (LLMs) or hosted models (OpenAI, Anthropic, Google Gemini, etc.), Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

Python 90

Python LLM Data Scarcity Data Scientist 90

ODSC - Open Data Science

FEBRUARY 13, 2025

With hundreds of people tuning in virtually from all around the world, our world-class instructors showed how to build, evaluate, and make the most out of large language models. 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

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. The following diagram from Role-Play with Large Language Models illustrates this flow.

LLM 77

LLM Natural Language Processing ML AI 77

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

MAY 30, 2024

Hosting large language models Vitech explored the option of hosting Large Language Models (LLMs) models using Amazon Sagemaker. Vitech needed a fully managed and secure experience to host LLMs and eliminate the undifferentiated heavy lifting associated with hosting 3P models.

Chatbots 130

Chatbots Prompt Engineer Prompt Engineering Large Language Models 130

Marktechpost

OCTOBER 11, 2023

The team started with a collection of 15 ML engineering projects spanning various fields, with experiments that are quick and cheap to run. They provide simple beginning programs for some of these activities to guarantee that the agent can make valid submissions.

Machine Learning 104

Machine Learning AI Researcher AI Research Convolutional Neural Networks 104

TensorFlow

MAY 11, 2023

As we develop translation systems for American Sign Language (ASL) and other sign languages, it is natural to break apart various aspects of the language and attempt to perform tasks using those parts. The winning models will be open sourced to help developers add support for fingerspelling to their apps.

Software Engineer 98

Software Engineer Large Language Models ML Engineer ML 98

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 Large Language Models ML Engineer Machine Learning 52

Towards AI

MAY 30, 2024

This book provides practical insights and real-world applications of, inter alia, RAG systems and prompt engineering. NLP Scientist/ML Engineer “Books quickly get out of date in the ever evolving AI field. So, not often one can get their hands on a book offering the latest insights into Large Language Models (LLMs).

Prompt Engineer 108

Prompt Engineer Prompt Engineering LLM NLP 108

AWS Machine Learning Blog

OCTOBER 1, 2024

Further detail on Amazon Bedrock and Amazon SageMaker Amazon Bedrock provides a straightforward way to build and scale applications with large language models (LLMs) and foundation models (FMs), empowering you to build generative AI applications with security and privacy.

Data Science 97

Data Science Machine Learning Data Scientist Generative AI 97

Towards AI

JANUARY 6, 2025

AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc. However, you are expected to possess intermediate coding experience and a background as an AI ML engineer; to begin with the course.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

AWS Machine Learning Blog

MAY 15, 2024

Acting as a model hub, JumpStart provided a large selection of foundation models and the team quickly ran their benchmarks on candidate models. After selecting candidate large language models (LLMs), the science teams can proceed with the remaining steps by adding more customization.

Generative AI 131

Generative AI AI AI Machine Learning 131

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. These components can include multiple calls to models, retrievers, or external tools.

LLM 94

LLM AI AI Data Scientist 94

AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Figure 2 – Few-shot prompting Few-shot prompting uses a small set of input-output examples to train the model for specific tasks.

Generative AI 135

Generative AI Prompt Engineer Prompt Engineering LLM 135

AWS Machine Learning Blog

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. This post is co-written with Jayadeep Pabbisetty, Sr.

ML 129

ML Machine Learning Data Scientist ETL 129

AWS Machine Learning Blog

OCTOBER 4, 2023

With unique data formats and strict regulatory requirements, customers are looking for choices to select the most performant and cost-effective model, as well as the ability to perform necessary customization (fine-tuning) to fit their business use case. SageMaker is in scope for HIPAA BAA , SOC123 , and HITRUST CSF.

LLM 119

LLM Large Language Models ML Generative AI 119

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? This task has however proven to be extremely effective, given a large training set and sufficient model size.

ChatGPT 90

ChatGPT Software Engineer NLP ML Engineer 90

AWS Machine Learning Blog

MARCH 14, 2024

Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval. Grace Lang is an Associate Data & ML engineer with AWS Professional Services. This is a guest post co-written with Scott Gutterman from the PGA TOUR.

Generative AI 131

Generative AI LLM AI AI 131

AWS Machine Learning Blog

FEBRUARY 28, 2024

The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation.

Metadata 141

Metadata Generative AI LLM NLP 141

deepsense.ai

APRIL 18, 2023

experts will share insights on various areas of machine learning latest developments: April 20, 2023: workshop “Large language models in limited hardware environments” conducted by Adam Maciaszek, Senior Data Scientist, and Szymon Janowski, ML Engineer April 21, 2023: presentation “What do we learn by fooling GPT?”

Machine Learning 52

Machine Learning Data Scientist Large Language Models ML Engineer 52

AWS Machine Learning Blog

FEBRUARY 11, 2025

Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including Metas most advanced and capable models to date. models today. On the endpoint details page, choose Delete.

Computer Vision 81

Computer Vision ML Python Automation 81

AWS Machine Learning Blog

MARCH 13, 2024

By orchestrating toxicity classification with large language models (LLMs) using generative AI, we offer a solution that balances simplicity, latency, cost, and flexibility to satisfy various requirements. Latency and cost are also critical factors that must be taken into account.

Natural Language Processing 136

Natural Language Processing LLM Prompt Engineer Prompt Engineering 136

Pickl AI

AUGUST 28, 2024

Introduction In the rapidly evolving landscape of Machine Learning , Google Cloud’s Vertex AI stands out as a unified platform designed to streamline the entire Machine Learning (ML) workflow. This unified approach enables seamless collaboration among data scientists, data engineers, and ML engineers.

Machine Learning 52

Machine Learning ML Engineer ML Automation 52

TheSequence

JANUARY 19, 2024

Generative AI and Large Language Models (LLMs) are new to most companies. If you are an engineering leader building Gen AI applications, it can be hard to know what skills and types of people are needed. At the same time, the capabilities of AI models have grown. Much less sophistication is needed to use them.

Prompt Engineer 59

Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

AWS Machine Learning Blog

AUGUST 4, 2023

The SageMaker Projects template for Salesforce – We launched a SageMaker Projects template for Salesforce that you can use to deploy endpoints for traditional and large language models (LLMs) and expose SageMaker endpoints as an API automatically.

Data Scientist 97

Data Scientist ML ETL AI 97

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning.

LLM 129

LLM ML Generative AI Machine Learning 129

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Ryan Gomes is a Data & ML Engineer with the AWS Professional Services Intelligence Practice.

Generative AI 97

Generative AI LLM Machine Learning Large Language Models 97

AWS Machine Learning Blog

FEBRUARY 29, 2024

Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax. The following are the key benefits of this solution: Automation – The entire ML workflow, from data preprocessing to model registry, is orchestrated with no manual intervention.

Automation 125

Automation Python Machine Learning ML 125