AWS Machine Learning Blog

FEBRUARY 19, 2025

In this example, the ML engineering team is borrowing 5 GPUs for their training task With SageMaker HyperPod, you can additionally set up observability tools of your choice. In our public workshop, we have steps on how to set up Amazon Managed Prometheus and Grafana dashboards.

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Marktechpost

JULY 25, 2024

Prompt Engineering with LLaMA-2 Difficulty Level: Beginner This course covers the prompt engineering techniques that enhance the capabilities of large language models (LLMs) like LLaMA-2. It includes over 20 hands-on projects to gain practical experience in LLMOps, such as deploying models, creating prompts, and building chatbots.

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Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies Generative AI integration into existing chatbot solutions serves to enhance the conversational abilities and overall performance of chatbots. By integrating generative AI, chatbots can generate more natural and human-like responses, allowing for a more engaging and satisfying user experience.

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Marktechpost

JUNE 19, 2024

You’ll build applications with LLMs like GPT-3 and Llama 2 and explore retrieval-augmented generation and voice-enabled chatbots. It is ideal for ML engineers, data scientists, and technical leaders, providing real-world training for production-ready generative AI using Amazon Bedrock and cloud-native services.

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Marktechpost

JULY 19, 2023

A chatbot for taking notes, an editor for creating images from text, and a tool for summarising customer comments can all be made with a basic understanding of programming and a couple of hours. In the actual world, machine learning (ML) systems can embed issues like societal prejudices and safety worries.

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AssemblyAI

DECEMBER 15, 2022

Project Description: Pupil is a chrome extension that links to an AI chatbot which answers questions about educational videos. Check out the YouTube video below or the Devpost project to learn more about OperatorAI , created by Damir Temir , Navinn Ravindaran , Lirak Haxhikadrija and Wei He. Best Project Built with AssemblyAI - Pupil.ai

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

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TheSequence

OCTOBER 13, 2024

Awarding it the physics prize, they say, feels like handing the Nobel in Literature to a particularly eloquent chatbot( which might happen soon enough btw). 🔎 ML Research VQAScore Carnegie Mellon University(CMU) published a paper introducing VQAScore, a new evaluation metric for determining the quality of text-to-image models.

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AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

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AWS Machine Learning Blog

MARCH 14, 2024

Given the data sources, LLMs provided tools that would allow us to build a Q&A chatbot in weeks, rather than what may have taken years previously, and likely with worse performance. Grace Lang is an Associate Data & ML engineer with AWS Professional Services.

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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.

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TheSequence

MAY 21, 2023

Stable Vicuna is an open-source RLHF chatbot based on the Vicuna and LLaMA models. 🔎 ML Research RL for Open Ended LLM Conversations Google Research published a paper detailing dynamic planning, a reinforcement learning(RL) based technique to guide open ended conversations. Need more reasons to sign up?

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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. Yes, LlamaIndex and LangChain will transform or even disappear, just as Tensorflow is no longer maintained. We believe it’s the same for the tech stack covered in the book.

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Large Language Models Prompt Engineer Prompt Engineering LLM 79

Flipboard

JULY 17, 2023

Stochastic has a team of bright ML engineers, postdocs, and Harvard grad students focusing on optimizing and speeding up AI for LLMs. Applications like automated text delivery, chatbots, language translation, and content production are areas where people strive to develop and create new applications with these concepts.

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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? Will ChatGPT replace ML Engineers? We will answer the question “ Will you lose your job?” And, as mentioned before.

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AWS Machine Learning Blog

JUNE 8, 2023

Generative AI chatbots have gained notoriety for their ability to imitate human intellect. Finally, we use a QnABot to provide a user interface for our chatbot. This enables you to begin machine learning (ML) quickly. A SageMaker real-time inference endpoint enables fast, scalable deployment of ML models for predicting events.

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TheSequence

NOVEMBER 12, 2023

We also review the Chatbot Arena framework. 📌 ML Engineering Event: Join Meta, PepsiCo, RiotGames, Uber & more at apply(ops) apply(ops) is in two days! Databricks’ CEO Ali Ghodsi will also be joining Tecton CEO Mike Del Balso for a fireside chat about LLMs, real-time ML, and other trends in ML.

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TheSequence

MARCH 10, 2024

Join industry leaders from LangChain, Meta, and Visa for insights to master AI and ML in production. VIEW SPEAKER LINEUP Here’s a sneak peek of the agenda: LangChain Keynote: Hear from Lance Martin, an ML leader at LangChain, a leading orchestration framework for large language models (LLMs). Stay tuned for the full agenda!

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ODSC - Open Data Science

JANUARY 10, 2024

Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. Participants will walk away with a solid grasp of feature stores, equipped with the knowledge to drive meaningful insights and enhancements in their real-world ML platforms and projects.

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AWS Machine Learning Blog

AUGUST 1, 2023

Artificial intelligence (AI) and machine learning (ML) models have shown great promise in addressing these challenges. Amazon SageMaker , a fully managed ML service, provides an ideal platform for hosting and implementing various AI/ML-based summarization models and approaches. No ML engineering experience required.

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Pickl AI

JULY 14, 2023

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks. Artificial Intelligence and the Future of Humans 1.

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The MLOps Blog

JULY 4, 2024

And then this new chatbot will revolutionize the world. Further, talking to data scientists and ML engineers, I noticed quite a bit of confusion around RAG systems and terminology. Let’s say we are implementing a chatbot to answer questions about the Windows operating system, and a user asks, “Is Windows 8 any good?”

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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 Sign meup!

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The MLOps Blog

JULY 18, 2023

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to Jason Falks about deploying conversational AI products to production.

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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.

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TheSequence

NOVEMBER 5, 2023

Frank Liu, head of AI & ML at Zilliz, the company behind widely adopted open source vector database Milvus, shares his red hot takes on the latest topics in AI, ML, LLMs and more! 🛠 Real World ML LLM Architectures at GitHub GitHub ML engineers discuss the architecture of LLMs apps —> Read more.

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AWS Machine Learning Blog

DECEMBER 2, 2024

This enhancement allows customers running high-throughput production workloads to handle sudden traffic spikes more efficiently, providing more predictable scaling behavior and minimal impact on end-user latency across their ML infrastructure, regardless of the chosen inference framework.

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The MLOps Blog

DECEMBER 29, 2022

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to Kyle Morris from Banana about deploying models on GPU. Kyle: Yes.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

It allows beginners and expert practitioners to develop and deploy Gen AI applications for various use cases beyond simple chatbots, including agentic, multi-agentic, Generative BI, and batch workflows. With SageMaker, you can deploy your ML models on hosted endpoints and get real-time inference results.

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AWS Machine Learning Blog

JULY 23, 2024

SageMaker Studio is a comprehensive integrated development environment (IDE) that offers a unified, web-based interface for performing all aspects of the machine learning (ML) development lifecycle. This approach allows for greater flexibility and integration with existing AI and ML workflows and pipelines. Deploy Llama 3.1

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Mlearning.ai

MAY 3, 2023

chatgpt : ChatGPT is an AI chatbot developed by OpenAI and released in November 2022. LLaMA’s can be used for wide variety of applications, such as chatbots, creating virtual assistants, creating text content, etc. We can use it for chatbots, Generative Question-Answering (GQA), summarization, etc. assistant-style generation.

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Large Language Models Python Auto-complete Natural Language Processing 52

Viso.ai

DECEMBER 21, 2023

Each of these individuals serves as an inspiration for aspiring AI and ML engineers breaking into the field. His contributions to ML, deep learning , computer vision, and NLP underscore his influence in the rapidly evolving AI landscape. We ranked these individuals in reverse chronological order.

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Flipboard

NOVEMBER 27, 2024

A Streamlit application is hosted in Amazon Elastic Container Service (Amazon ECS) as a task, which provides a chatbot UI for users to submit queries against the knowledge base in Amazon Bedrock. He helps architect solutions across AI/ML applications, enterprise data platforms, data governance, and unified search in enterprises.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Chatbot deployments : Power customer service chatbots that can handle thousands of concurrent real-time conversations with consistently low latency, delivering the quality of a larger model but at significantly lower operational costs. Yanyan graduated from Texas A&M University with a PhD in Electrical Engineering.

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AWS Machine Learning Blog

OCTOBER 11, 2024

The workflow consists of the following steps: Either a user through a chatbot UI or an automated process issues a prompt and requests a response from the LLM-based application. The agent returns the LLM response to the chatbot UI or the automated process. Ginni Malik is a Senior Data & ML Engineer with AWS Professional Services.

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