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 may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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LLM ML Generative AI Machine Learning 123

AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. Katherine Feng is a Cloud Consultant at AWS Professional Services within the Data and ML team.

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ML Engineer Data Scientist Machine Learning ML 104

Marktechpost

JUNE 14, 2024

Recently, Yandex has introduced a new solution: YaFSDP, an open-source tool that promises to revolutionize LLM training by significantly reducing GPU resource consumption and training time. ML engineers can leverage this tool to enhance the efficiency of their LLM training processes. Check out the GitHub Page.

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LLM AI Tools Large Language Models ML Engineer 119

AWS Machine Learning Blog

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. LLM integration The preprocessed text is fed into a powerful LLM tailored for the healthcare and life sciences (HCLS) domain.

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LLM NLP Data Integration AI 79

ODSC - Open Data Science

APRIL 2, 2025

Whether an engineer is cleaning a dataset, building a recommendation engine, or troubleshooting LLM behavior, these cognitive skills form the bedrock of effective AI development. Engineers who can visualize data, explain outputs, and align their work with business objectives are consistently more valuable to theirteams.

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Prompt Engineer Prompt Engineering Large Language Models ML Engineer 52

Marktechpost

DECEMBER 1, 2024

It supports multiple LLM providers, making it compatible with a wide array of hosted and local models, including OpenAI’s models, Anthropic’s Claude, and Google Gemini. This combination of technical depth and usability lowers the barrier for data scientists and ML engineers to generate synthetic data efficiently.

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Python LLM Data Scarcity Data Scientist 89

ODSC - Open Data Science

MARCH 10, 2025

Beyond Benchmarks: Evaluating AI Agents, Multimodal Systems, and Generative AI in the RealWorld Sinan Ozdemir, AI & LLM Expert | Author | Founder + CTO at LoopGenius As AI systems advance into autonomous agents, multimodal models, and RAG workflows, traditional evaluation methods often fall short.

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Data Scientist Data Science LLM Machine Learning 52

Snorkel AI

MARCH 20, 2025

GenAI evaluation with SME-evaluator agreement AI/ML engineers develop specialized evaluators with ground truth. Lets consider an LLM-as-a-Judge (LLMAJ) which checks to see if an AI assistant has repeated itself. Its far more likely that the AI/ML engineer needs to go back and continue iterating on the prompt.

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ML Engineer Automation Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

APRIL 1, 2025

Adaptive RAG Systems with Knowledge Graphs: Building Smarter LLM Pipelines David vonThenen, Senior AI/ML Engineer at DigitalOcean Unlock the full potential of Retrieval-Augmented Generation by embedding adaptive reasoning with knowledge graphs.

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Neural Network LLM Software Engineer AI 52

Towards AI

JANUARY 30, 2024

The Top Secret Behind Effective LLM Training in 2024 Large-scale unsupervised language models (LMs) have shown remarkable capabilities in understanding and generating human-like text. ML Engineers(LLM), Tech Enthusiasts, VCs, etc. Anybody previously acquainted with ML terms should be able to follow along.

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Explainability ML Engineer LLM ML 111

The MLOps Blog

JULY 4, 2024

They enable efficient context retrieval or dynamic few-shot prompting to improve the factual accuracy of LLM-generated responses. Use re-ranking or contextual compression techniques to ensure only the most relevant information is provided to the LLM, improving response accuracy and reducing cost.

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LLM Large Language Models Machine Learning Explainability 64

Towards AI

FEBRUARY 18, 2025

AI agents, on the other hand, hold a lot of promise but are still constrained by the reliability of LLM reasoning. From an engineering perspective, the core challenge for both lies in improving accuracy and reliability to meet real-world business requirements. They also inspired a bunch of new potentials for ML engineers.

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ML Engineer LLM Data Quality Algorithm 100

AWS Machine Learning Blog

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. We suggest that each module take incoming inference requests to the LLM, passing prompt and completion (response) pairs to metric compute modules.

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Large Language Models LLM Big Data Machine Learning 129

AWS Machine Learning Blog

FEBRUARY 11, 2025

Clean up To clean up the model and endpoint, use the following code: predictor.delete_model() predictor.delete_endpoint() Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and run a wide range of pre-trained FMs for inference, including the Falcon 3 family of models.

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ML Machine Learning Python Computer Vision 79

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. How to fine-tune and customize LLMs Hoang Tran, ML Engineer at Snorkel AI, outlined how he saw LLMs creating value in enterprise environments.

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LLM Data Scientist Machine Learning Large Language Models 69

Unite.AI

FEBRUARY 28, 2024

Attackers may attempt to fine-tune surrogate models using queries to the target LLM to reverse-engineer its knowledge. Adversaries can also attempt to breach cloud environments hosting LLMs to sabotage operations or exfiltrate data. Stolen models also create additional attack surface for adversaries to mount further attacks.

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Large Language Models Machine Learning LLM Neural Network 159

Snorkel AI

MARCH 18, 2025

However, when evaluations provide deep insights into the behavior of GenAI applications, AI/ML engineers can quickly identify what improvements are needed and correctly determine the best way to implement them resulting in a much faster, and far more efficient, GenAI development process.

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ML Engineer LLM AI AI 52

Towards AI

MAY 30, 2024

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG” is now available on Amazon! The application topics include prompting, RAG, agents, fine-tuning, and deployment — all essential topics in an AI Engineer’s toolkit.” The defacto manual for AI Engineering.

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Prompt Engineer Prompt Engineering LLM NLP 108

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.

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Generative AI LLM AI AI 120

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 includes lessons on vector search and text embeddings, practical demos, and a hands-on lab.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

databricks

SEPTEMBER 28, 2023

We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy.

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LLM ML Engineer ML Data Science 144

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. He demonstrated practical AI-powered workflows for engineers, including essay generation, research retrieval, and iterative refinement.

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Large Language Models AI AI Automation 52

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. How to fine-tune and customize LLMs Hoang Tran, ML Engineer at Snorkel AI, outlined how he saw LLMs creating value in enterprise environments.

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LLM Data Scientist Machine Learning Large Language Models 59

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.

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Machine Learning BERT Deep Learning ML Engineer 123

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. His current area of research includes LLM evaluation and data generation. About the Author Xiong Zhou is a Senior Applied Scientist at AWS.

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Machine Learning ML Data Scientist Robotics 102

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. At a high level, they simply ask the LLMs to take the next action, using a prompt that is automatically produced based on the available information about the task and previous steps.

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Machine Learning AI Researcher AI Research Convolutional Neural Networks 104

Marktechpost

JULY 25, 2024

Large Language Models (LLMs) Concepts Difficulty Level: Beginner This course explores Large Language Models (LLMs), their impact on AI, and real-world applications. It helps learn about LLM building blocks, training methodologies, and ethical considerations.

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Large Language Models Prompt Engineer Prompt Engineering Chatbots 112

AWS Machine Learning Blog

MARCH 13, 2024

The LLM analysis provides a violation result (Y or N) and explains the rationale behind the model’s decision regarding policy violation. The audio moderation workflow activates the LLM’s policy evaluation only when the toxicity analysis exceeds a set threshold. LLMs, in contrast, offer a high degree of flexibility.

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Natural Language Processing LLM Prompt Engineer Prompt Engineering 126

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. How to fine-tune and customize LLMs Hoang Tran, ML Engineer at Snorkel AI, outlined how he saw LLMs creating value in enterprise environments.

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LLM Data Scientist Machine Learning Large Language Models 52

AWS Machine Learning Blog

FEBRUARY 28, 2024

on Amazon Bedrock as our LLM. The multi-step component allows the LLM to correct the generated SQL query for accuracy. We use Athena error messages to enrich our prompt for the LLM for more accurate and effective corrections in the generated SQL. About the Authors Sanjeeb Panda is a Data and ML engineer at Amazon.

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Metadata Generative AI LLM NLP 127

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. Techniques and experimentation Prompt design is the technique of creating the most effective prompt for an LLM with a clear objective.

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Generative AI Prompt Engineer Prompt Engineering LLM 124

AWS Machine Learning Blog

FEBRUARY 12, 2025

Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements. Optimization techniques The diagram below illustrates the tradeoffs to consider for a production-ready RAG application.

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Auto-classification Metadata Generative AI Machine Learning 80

AWS Machine Learning Blog

DECEMBER 9, 2024

MLflow , a popular open-source tool, helps data scientists organize, track, and analyze ML and generative AI experiments, making it easier to reproduce and compare results. SageMaker is a comprehensive, fully managed ML service designed to provide data scientists and ML engineers with the tools they need to handle the entire ML workflow.

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ML Data Scientist Machine Learning Software Engineer 86

ODSC - Open Data Science

DECEMBER 7, 2023

How to Add Domain-Specific Knowledge to an LLM Based on Your Data In this article, we will explore one of several strategies and techniques to infuse domain knowledge into LLMs, allowing them to perform at their best within specific professional contexts by adding chunks of documentation into an LLM as context when injecting the query.

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Data Scientist Explainable AI Data Science Python 98

AWS Machine Learning Blog

OCTOBER 4, 2023

In this post, we walk you through deploying a Falcon large language model (LLM) using Amazon SageMaker JumpStart and using the model to summarize long documents with LangChain and Python. SageMaker is a HIPAA-eligible managed service that provides tools that enable data scientists, ML engineers, and business analysts to innovate with ML.

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LLM Large Language Models ML Data Scientist 108

Towards AI

JUNE 18, 2024

About Building LLMs for Production Generative AI and LLMs are transforming industries with their ability to understand and generate human-like text and images. However, building reliable and scalable LLM applications requires a lot of extra work and a deep understanding of various techniques and frameworks.

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Large Language Models Prompt Engineer Prompt Engineering LLM 79

TheSequence

JULY 21, 2024

NuminaMath 7B TIR is based on a combination of an LLM reasoning agent and code generation and the architecture is totally fascinating —> Read more. Proven-Verifier Games in LLMs OpenAI published a paper unveiling a prover-verifier game to improve the legibility of LLM outputs.

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ML Engineer Automation LLM OpenAI 75