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 covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

AWS Machine Learning Blog

MARCH 14, 2025

Evangelia Spiliopoulou is an Applied Scientist in the AWS Bedrock Evaluation group, where the goal is to develop novel methodologies and tools to assist automatic evaluation of LLMs. at Language Technologies Institute, Carnegie Mellon University. at Language Technologies Institute, Carnegie Mellon University.

Generative AI 92

Generative AI Responsible AI Automation LLM 92

Unite.AI

AUGUST 12, 2024

Enhanced Customization : More fine-grained control over generated content, possibly through advanced prompt engineering techniques or intuitive user interfaces. Ethical AI Development : Continued focus on developing AI models that are not only powerful but also responsible and ethically sound.

Natural Language Processing 246

Natural Language Processing Generative AI Inference Engine AI Tools 246

Unite.AI

SEPTEMBER 7, 2023

By developing prompts that exploit the model's biases or limitations, attackers can coax the AI into generating inaccurate content that aligns with their agenda. Solution Establishing predefined guidelines for prompt usage and refining prompt engineering techniques can help curtail this LLM vulnerability.

LLM 173

LLM Large Language Models Prompt Engineer Prompt Engineering 173

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks.

Generative AI 132

Generative AI LLM Natural Language Processing Metadata 132

Towards AI

FEBRUARY 15, 2023

This week we published a new blog Learn Prompting 101: Prompt Engineering Course & Challenges as a summary of Prompt Engineering and how to talk to LLMs and get the most out of them. This forms an introduction to the comprehensive open-source Learn Prompting course that we have contributed to.

Large Language Models 98

Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 98

AWS Machine Learning Blog

SEPTEMBER 1, 2023

They have deep end-to-end ML and natural language processing (NLP) expertise and data science skills, and massive data labeler and editor teams. Strong domain knowledge for tuning, including prompt engineering, is required as well. Only prompt engineering is necessary for better results.

Generative AI 125

Generative AI Prompt Engineer Prompt Engineering ML 125

Towards AI

JANUARY 6, 2025

Artificial Intelligence graduate certificate by STANFORD SCHOOL OF ENGINEERING Artificial Intelligence graduate certificate; taught by Andrew Ng, and other eminent AI prodigies; is a popular course that dives deep into the principles and methodologies of AI and related fields.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

Towards AI

OCTOBER 19, 2024

Techniques for Peering into the AI Mind Scientists and researchers have developed several techniques to make AI more explainable: 1. Model Attention: Helps us understand which parts of the input data the AI focuses on most. It’s particularly useful in natural language processing [3].

Explainability 105

Explainability Explainable AI Natural Language Processing Prompt Engineer 105

ODSC - Open Data Science

NOVEMBER 8, 2023

Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. You can even fine-tune prompts to get exactly what you want. Don’t go in aimlessly expecting it to do everything.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

How to Learn Machine Learning

JULY 20, 2024

Generative AI solutions gained popularity with the launch of ChatGPT, developed by OpenAI, in 2023. Supported by Natural Language Processing (NLP), Large language modules (LLMs), and Machine Learning (ML), Generative AI can evaluate and create extensive images and texts to assist users.

Generative AI 64

Generative AI Machine Learning Deep Learning Natural Language Processing 64

Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

Topbots

JULY 29, 2024

Prompt Tuning: An overview of prompt tuning and its significance in optimizing AI outputs. Google’s Gen AI Development Tools: Insight into the tools provided by Google for developing generative AI applications. Content: Introduction into LLMs: An overview of how large language models work.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

Snorkel AI

MAY 4, 2023

Details at a glance: Date: June 7 – 8, 2023 Time: 8am – 2:30pm PT / each day Format: Virtual and free Register for free today Data-centric AI: vital now more than ever AI has experienced remarkable advancements in recent months, driven by innovations in machine learning, particularly deep learning techniques.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

Details at a glance: Date: June 7 – 8, 2023 Time: 8am – 2:30pm PT / each day Format: Virtual and free Register for free today Data-centric AI: vital now more than ever AI has experienced remarkable advancements in recent months, driven by innovations in machine learning, particularly deep learning techniques.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

FEBRUARY 5, 2025

Retrieval-augmented generation (RAG) represents a leap forward in natural language processing. This final prompt gives the LLM more context with which to answer the users question. Solving challenges with prompt templates Begin by clearly defining the prompt’s objective and the desired characteristics of the output.

Data Scientist 52

Data Scientist LLM Prompt Engineer Prompt Engineering 52

Heartbeat

OCTOBER 5, 2023

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. These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

Bugra Akyildiz

AUGUST 3, 2024

Data Quality and Processing: Meta significantly enhanced their data pipeline for Llama 3.1: models for enhanced security Sample Applications: Developed reference implementations for common use cases (e.g., Data Quality and Processing: Meta significantly enhanced their data pipeline for Llama 3.1:

Neural Network 52

Neural Network Prompt Engineer Prompt Engineering Large Language Models 52

Pickl AI

SEPTEMBER 21, 2023

The early days of language models can be traced back to programs like ELIZA , a rudimentary chatbot developed in the 1960s, and continued with ALICE in the 1990s. These early language models laid the foundation for natural language processing but were far from the human-like conversational agents we have today.

ChatGPT 52

ChatGPT Conversational AI Chatbots Natural Language Processing 52

ODSC - Open Data Science

JANUARY 10, 2025

Typically, this role would see an Engineer doing everything from working on solving issues with domain-specific models, to even building them from the ground up within an ecosystem. Common skills include Large Language Models, Natural Language Processing, JIRA/Project Management, andPyTorch.

Data Scientist 40

Data Scientist Large Language Models Machine Learning Data Science 40

Topbots

SEPTEMBER 11, 2023

AI development is a highly collaborative enterprise. In traditional software development, you work with a relatively clear dichotomy consisting of the backend and the frontend components. The different components of your AI system will interact with each other in intimate ways.

UX Design 59

UX Design AI AI Automation 59

Viso.ai

FEBRUARY 21, 2024

The quality and performance of the LLM depend on the quality of the prompt it is given. Prompt engineering allows users to construct optimal prompts to improve the LLM response. This article will guide readers step by step through AI prompt engineering and discuss the following: What is a Prompt?

Prompt Engineer 52

Prompt Engineer Prompt Engineering Computer Vision LLM 52

Unite.AI

JANUARY 27, 2025

These pioneering efforts not only showcased RLs ability to handle decision-making in dynamic environments but also laid the groundwork for its application in broader fields, including natural language processing and reasoning tasks.

Software Engineer 314

Software Engineer Prompt Engineer Prompt Engineering OpenAI 314

AWS Machine Learning Blog

JANUARY 26, 2024

As part of quality assurance tests, introduce synthetic security threats (such as attempting to poison training data, or attempting to extract sensitive data through malicious prompt engineering) to test out your defenses and security posture on a regular basis. Emily Soward is a Data Scientist with AWS Professional Services.

Generative AI 138

Generative AI ML LLM AI 138

AWS Machine Learning Blog

AUGUST 30, 2024

This licensing update reflects Meta’s commitment to fostering innovation and collaboration in AI development with transparency and accountability. Conclusion In this post, we explored a solution that uses the vector engine ChromaDB and Meta Llama 3, a publicly available FM hosted on SageMaker JumpStart, for a Text-to-SQL use case.

Prompt Engineer 79

Prompt Engineer Prompt Engineering Metadata Generative AI 79

AWS Machine Learning Blog

NOVEMBER 22, 2024

In this example, we use Anthropic’s Claude 3 Sonnet on Amazon Bedrock: # Define the model ID model_id = "anthropic.claude-3-sonnet-20240229-v1:0" Assign a prompt, which is your message that will be used to interact with the FM at invocation: # Prepare the input prompt. prompt = "Hello, how are you?"

Python 94

Python Generative AI Prompt Engineer Prompt Engineering 94