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.

Prompt Engineering 109

Prompt Engineering Prompt Engineer LLM NLP 109

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. For more information on application security, refer to Safeguard a generative AI travel agent with prompt engineering and Amazon Bedrock Guardrails.

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Auto-classification Metadata Generative AI Machine Learning 96

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.

Artificial Intelligence 132

Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

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.

Natural Language Processing 137

Natural Language Processing LLM Prompt Engineer Prompt Engineering 137

AWS Machine Learning Blog

SEPTEMBER 1, 2023

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. MLOps engineers are responsible for providing a secure environment for data scientists and ML engineers to productionize the ML use cases.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering ML 129

AWS Machine Learning Blog

MAY 30, 2024

Instead, Vitech opted for Retrieval Augmented Generation (RAG), in which the LLM can use vector embeddings to perform a semantic search and provide a more relevant answer to users when interacting with the chatbot. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

Chatbots 133

Chatbots Prompt Engineer Prompt Engineering Large Language Models 133

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.

Large Language Models 80

Large Language Models Prompt Engineer Prompt Engineering LLM 80

Towards AI

SEPTEMBER 22, 2023

However, with the advent of LLM, everything has changed. LLMs seem to rule them all, and interestingly, no one knows how LLMs work. Now, people are questioning whether they should still develop solutions other than LLM but know little about how to make LLM-based solutions accountable.

Prompt Engineering 59

Prompt Engineering Prompt Engineer ML ML Engineer 59

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 122

Towards AI

FEBRUARY 20, 2025

You will also find useful tools from the community, collaboration opportunities for diverse skill sets, and, in my industry-special Whats AI section, I will dive into the most sought-after role: LLM developers. But who exactly is an LLM developer, and how are they different from software developers and ML engineers?

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Neural Network Explainability LLM Software Development 86

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. LLMs change this.

Prompt Engineering 59

Prompt Engineering Prompt Engineer Generative AI Large Language Models 59

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.

ML Engineer 59

ML Engineer Automation Prompt Engineer Prompt Engineering 59

TheSequence

NOVEMBER 12, 2023

📌 ML Engineering Event: Join Meta, PepsiCo, RiotGames, Uber & more at apply(ops) apply(ops) is in two days! SAVE MY SPOT 🔎 ML Research LLM Pruning Microsoft Research published a research paper proposing LoRAShear, a technique for pruning and recovering knowledge in LLMs.

OpenAI 64

OpenAI Generative AI ML Prompt Engineer 64

Heartbeat

OCTOBER 5, 2023

Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. LLMOps: LLMs excel at learning from raw data, making feature engineering less relevant. The focus shifts towards prompt engineering and fine-tuning.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

ODSC - Open Data Science

JANUARY 10, 2024

You will also become familiar with the concept of LLM as a reasoning engine that can power your applications, paving the way to a new landscape of software development in the era of Generative AI.

Large Language Models 52

Large Language Models Deep Learning Data Science LLM 52

AWS Machine Learning Blog

MAY 9, 2024

This includes implementation of industry best practice measures and industry frameworks, such as NIST , OWASP-LLM , OWASP-ML , MITRE Atlas. AI/ML Specialist Solutions Architect at AWS, based in Virginia, US. Vikram Elango is a Sr.

ML 134

ML Generative AI AI AI 134

ODSC - Open Data Science

JANUARY 3, 2025

Selected Training Sessions for Week 1LLMs (Wed 15 JanThu 16Jan) Cracking the Code: How to Choose the Right LLMs Model for Your Project Ivan Lee, CEO and Founder ofDatasaur Selecting the right AI model is a strategic process that requires careful evaluation and optimization to ensure project success.

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LLM AI AI Prompt Engineer 40

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. LLM training configurations. Guardrails: – Does pydantic-style validation of LLM outputs. recovery from node failures).

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Snorkel AI

JUNE 9, 2023

That means curating an optimized set of prompts and responses for instruction tuning as well as cultivating the right mix of pre-training data for self-supervision. Snorkel Foundry will allow customers to programmatically curate unstructured data to pre-train an LLM for a specific domain.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

That means curating an optimized set of prompts and responses for instruction tuning as well as cultivating the right mix of pre-training data for self-supervision. Snorkel Foundry will allow customers to programmatically curate unstructured data to pre-train an LLM for a specific domain.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

AWS Machine Learning Blog

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Generative AI ML LLM AI 139

AWS Machine Learning Blog

NOVEMBER 29, 2023

However, harnessing this potential while ensuring the responsible and effective use of these models hinges on the critical process of LLM evaluation. An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Who needs to perform LLM evaluation?

LLM 119

LLM Data Scientist Algorithm Generative AI 119

AWS Machine Learning Blog

DECEMBER 17, 2024

Amazon SageMaker helps data scientists and machine learning (ML) engineers build FMs from scratch, evaluate and customize FMs with advanced techniques, and deploy FMs with fine-grain controls for generative AI use cases that have stringent requirements on accuracy, latency, and cost. Of the six challenges, the LLM met only one.

LLM 101

LLM Prompt Engineer Prompt Engineering Generative AI 101

Marktechpost

APRIL 10, 2025

Bio: Hamza Tahir is a software developer turned ML engineer. Based on his learnings from deploying ML in production for predictive maintenance use-cases in his previous startup, he co-created ZenML , an open-source MLOps framework for creating production grade ML pipelines on any infrastructure stack.

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Software Engineer LLM ML Prompt Engineer 49