ODSC - Open Data Science

DECEMBER 19, 2023

Prompt Engineer Prompt engineers are in the wild west of AI. These professionals are responsible for creating and maintaining prompts for AI models, redlining, and finetuning models through tests and prompt work. That’s because prompt engineers can be found with a multitude of backgrounds.

AI Product Manager 96

AI Product Manager AI Product Management Prompt Engineer Prompt Engineering 96

Unite.AI

JANUARY 23, 2024

Unlike traditional NLP models which rely on rules and annotations, LLMs like GPT-3 learn language skills in an unsupervised, self-supervised manner by predicting masked words in sentences. Their foundational nature allows them to be fine-tuned for a wide variety of downstream NLP tasks. This enables pretraining at scale.

Large Language Models 130

Large Language Models Prompt Engineer Prompt Engineering LLM 130

ODSC - Open Data Science

DECEMBER 28, 2023

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024. Register here!

Large Language Models 52

Large Language Models Python Data Science Machine Learning 52

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

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ODSC - Open Data Science

AUGUST 21, 2023

Though some positions may require extensive training and understanding of fields such as math, NLP , machine learning principles, and more, others seem to only require a fundamental understanding of AI with a greater emphasis on creativity. So the big question is, how much were they going to pay? So the salary for this job?

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 98

ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free. So, don’t delay.

Data Science 52

Data Science Prompt Engineer Prompt Engineering Machine Learning 52

AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. Prompts need to be designed based on the specific task and dataset being used.

NLP 71

NLP Robotics Prompt Engineer Prompt Engineering 71

ODSC - Open Data Science

SEPTEMBER 13, 2023

What It’s Like to Be a Prompt Engineer Prompt engineers work closely with other engineers, scientists, and product managers to ensure that LLMs are accurate, reliable, and scalable. Whether you’re into machine learning, NLP, or data science, this discussion is a must-watch for anyone navigating the AI landscape.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Scientist Machine Learning 52

Explosion

NOVEMBER 28, 2023

The Python library offers pre-built workflows, command-line interface, and well-documented components for customized workflow scripting, allowing users to define data loading/saving processes and modify annotation interfaces. Prompt engineering forms an important part of any LLM based workflow. support (dropping Python 3.7

Large Language Models 78

Large Language Models LLM Prompt Engineer Prompt Engineering 78

ODSC - Open Data Science

FEBRUARY 6, 2024

NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io You’ll explore the breadth of capabilities of state-of-the-art LLMs like GPT-4 can deliver through hands-on code demos that leverage the Hugging Face and PyTorch Lightning Python libraries.

Large Language Models 52

Large Language Models LLM Big Data NLP 52

ODSC - Open Data Science

AUGUST 15, 2023

Free and paid passes are available now–register here. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

Software Architect 52

Software Architect Data Scientist Data Science Machine Learning 52

IBM Journey to AI blog

JUNE 14, 2023

Hear expert insights and technical experiences during IBM watsonx Day Solving the risks of massive datasets and re-establishing trust for generative AI Some foundation models for natural language processing (NLP), for instance, are pre-trained on massive amounts of data from the internet. The foundation model capabilities within watsonx.ai

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Automation AI AI Neural Network 232

ODSC - Open Data Science

FEBRUARY 8, 2024

Jon Krohn, for an immersive introduction to Deep Learning that brings high-level theory to life with interactive examples featuring all three of the principal Python libraries, PyTorch, TensorFlow 2, and Keras. Introduction to scikit-learn: Machine Learning in Python Thomas J. Fan | Senior Machine Learning Engineer | Union.ai

Large Language Models 52

Large Language Models Big Data Deep Learning Data Science 52

ODSC - Open Data Science

APRIL 21, 2023

With its applications in creativity, automation, business, advancements in NLP, and deep learning, the technology isn’t only opening new doors, but igniting the public imagination. Once the workshop is over, participants will have fine-tuned and prompt-engineered state-of-the-art models like BART and XLM-Roberta.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

Towards AI

AUGUST 1, 2023

Tools are tools: Learning Python or R or any other language or ML tools won't make you a data scientist. You may not need to spend time in NLP at that point. Zero Hype: If, everyone is learning LLM and Chatgpt and making millions overnight using Prompt engineering kinda stuff around you.

Data Scientist 91

Data Scientist Data Science ML Prompt Engineer 91

Artificial Corner

AUGUST 3, 2023

Prompt engineering in under 10 minutes — theory, examples and prompting on autopilot Master the science and art of communicating with AI. ChatGPT showed people what are the possibilities of NLP and AI in general. ChatGPT showed people what are the possibilities of NLP and AI in general.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models LLM 98

Analytics Vidhya

APRIL 25, 2024

Introduction Embark on an exciting journey into the world of effortless machine learning with “Query2Model”! This innovative blog introduces a user-friendly interface where complex tasks are simplified into plain language queries.

Machine Learning 248

Machine Learning Natural Language Processing AI Modeling Prompt Engineer 248

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.

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Prompt Engineer Prompt Engineering Python NLP 245

ODSC - Open Data Science

FEBRUARY 28, 2024

what techniques can help you raise the quality of the answers , from simple prompt engineering tricks like few-shot prompting, all the way up to finetuning, self-correction loops, and entailment checks. Make sure to attend the talk to learn more about all these techniques and how to apply them to your projects.

LLM 52

LLM Chatbots Data Science Software Engineer 52

AWS Machine Learning Blog

MAY 7, 2024

This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain. Prompt engineering Prompt engineering enables you to instruct LLMs to generate suggestions, explanations, or completions of text in an interactive way.

Prompt Engineer 95

Prompt Engineer Prompt Engineering Large Language Models LLM 95

Unite.AI

OCTOBER 25, 2023

But the drawback for this is its reliance on the skill and expertise of the user in prompt engineering. Make sure to have python installed in your system or you can use Google Colab) 1. Ensure to install the llama-cpp-python package, ideally compiled to support your GPU.

LLM 304

LLM OpenAI Prompt Engineer Prompt Engineering 304

Unite.AI

SEPTEMBER 11, 2023

Steps to Locally Installing MetaGPT on Your System NPM, Python Installation Check & Install NPM : First things first, ensure NPM is installed on your system. To check your Python version, open your terminal and type: python --version. If you're not up-to-date, download the latest version from the Python official website.

Python 328

Python OpenAI Software Development Software Engineer 328

AWS Machine Learning Blog

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. It can be achieved through the use of proper guided prompts. There are many prompt engineering techniques.

Generative AI 105

Generative AI Prompt Engineer Prompt Engineering LLM 105

Heartbeat

JANUARY 26, 2024

Make sure you’ve installed the necessary Python packages in requirements.txt and have your OpenAI API and Comet API keys ready. As the field of Natural Language Processing (NLP) continues to evolve, integrating memory into conversational agents remains a promising avenue for improving user experience.

Metadata 52

Metadata LLM OpenAI Chatbots 52

deepsense.ai

OCTOBER 30, 2023

Python scripts are not written once from top to bottom, but instead are constantly changed and improved. Our solution excels in planning due to effective prompt engineering with few-shot examples. The Agent consists of these main components: Problem Definition: The user defines the problem.

LLM 98

LLM Data Science Software Engineer Software Development 98

AWS Machine Learning Blog

OCTOBER 24, 2023

Refer to our GitHub repository for detailed Python notebooks and a step-by-step walkthrough. Amazon Comprehend is a natural language processing (NLP) service that uses ML to extract insights from text. The following code block shows an example of how this is done using an LLM and prompt engineering.

IDP 113

IDP LLM Prompt Engineer Prompt Engineering 113

AWS Machine Learning Blog

MAY 31, 2023

Actually, you can develop such a system using state-of-the-art language models and a few lines of Python. In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. Each question should have 4 options.

Automation 68

Automation Python Prompt Engineer Prompt Engineering 68

Bugra Akyildiz

MARCH 16, 2024

You can change the response for the models in the following way: ==baseline You can reverse a list in Python using the built-in `reverse()` method or slicing. You can reverse a list in Python using the built-in reverse() method or slicing. You can use the reverse method to reverse a list in Python. Here's how you can do it [.]

Metadata 59

Metadata LLM Machine Learning Python 59

AWS Machine Learning Blog

APRIL 24, 2024

It consists of the following key components: Conversational interface – The conversational interface uses Streamlit, an open source Python library that simplifies the creation of custom, visually appealing web apps for machine learning (ML) and data science. The vectorization process is implemented in code.

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Conversational AI LLM AI AI 108

Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers.

ChatGPT 105

ChatGPT Software Engineer NLP Prompt Engineer 105

AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Furthermore, these tasks can be performed with zero-shot learning, where a well-engineered prompt can guide the model towards desired results. xlarge instance.

Natural Language Processing 77

Natural Language Processing NLP Prompt Engineer Prompt Engineering 77

AWS Machine Learning Blog

FEBRUARY 19, 2024

In this post, we walk through how to use the Titan Image Generator and Titan Multimodal Embeddings models via the AWS Python SDK. Code examples are provided in Python, and JavaScript (Node.js) is also available in this GitHub repository. For Python scripts, you can use the AWS SDK for Python (Boto3).

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Auto-complete Python Computer Vision Generative AI 99

ODSC - Open Data Science

OCTOBER 27, 2023

We will also discuss implementation details with the popular open-source LangChain Python library. We use Amazon Textract’s document extraction abilities with LangChain to get the text from the document and then use prompt engineering to identify the possible document category.

IDP 98

IDP LLM Large Language Models AI 98

AWS Machine Learning Blog

APRIL 16, 2024

Jupyter notebooks can differentiate between SQL and Python code using the %%sm_sql magic command, which must be placed at the top of any cell that contains SQL code. This command signals to JupyterLab that the following instructions are SQL commands rather than Python code. In his free time, he enjoys playing chess and traveling.

Data Scientist 90

Data Scientist Generative AI ML Machine Learning 90

Towards AI

JUNE 5, 2023

Scikit-learn is the conventional library in Python to create machine learning models. Some common natural language processing (NLP) tasks and classification and labeling. Large language models (LLMs) like ChatGPT has given us a novel approach to these NLP tasks.

LLM 52

LLM NLP OpenAI ChatGPT 52

Heartbeat

SEPTEMBER 19, 2023

Comet’s LLMOps tool provides an intuitive and responsive view of our prompt history. Prompt Playground: With the LLMOps tool comes the new Prompt Playground, which allows Prompt Engineers to iterate quickly with different Prompt Templates and understand the impact on different contexts.

Large Language Models 52

Large Language Models Metadata LLM Data Scientist 52

IBM Journey to AI blog

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. With multiple families in plan, the first release is the Slate family of models, which represent an encoder-only architecture. To bridge the tuning gap, watsonx.ai

Machine Learning 168

Machine Learning AI AI Automation 168