ODSC - Open Data Science

OCTOBER 31, 2023

Is it representative of the world we live in? Is it representative of the world we want to live in? To continue building up a larger dataset of good examples of recordings (hello, ground truth, we see you). What was that model’s baseline when deciding between professional and non-professional appearances? Is it correct?

Data Scientist 52

Data Scientist Data Science AI AI 52

AWS Machine Learning Blog

MARCH 13, 2024

Here, you ask Gemma to write a Hello World program. payload = { "inputs": " usernWrite a hello world module in Python n model", "parameters": {'max_new_tokens': 256}, } predictor.predict(payload) The following is the expected output: ```python # This is a Python module called hello.py model You’re welcome!

Large Language Models 106

Large Language Models LLM Machine Learning Python 106

OpenAI

NOVEMBER 30, 2022

I wanted to take a moment to reach out and say hello. series, which finished training in early 2022. series here. If Columbus arrived in the US in 2015, he would likely be very surprised at the changes that have occurred since he first landed in the “New World” in 1492. You can learn more about the 3.5

ChatGPT 74

ChatGPT Algorithm OpenAI AI 74

Marktechpost

MARCH 28, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It provides theoretical explanations along with practical examples, making it an excellent starting point for anyone looking to dive into the world of AI.

Artificial Intelligence 136

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 136

NVIDIA

APRIL 10, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. Hello, world, indeed. Skyscrapers start with strong foundations. The same goes for apps powered by AI.

LLM 126

LLM Neural Network Generative AI AI 126

Unite.AI

JUNE 22, 2023

A few months later I picked it back up and tried the “Hello World” example, and on a whim I changed it to make the text print in bright orange. In today's fast-paced world, you need to make business decisions in real-time, in the moment. I was instantly hooked. And It’s happening 100 times faster.

Large Language Models 325

Large Language Models Machine Learning Deep Learning ChatGPT 325

Chatbots Life

MAY 13, 2023

So, grab a cup of coffee and let’s dive into the world of ChatGPT prompts! <p class="example">Hello, QuickRef.ME!</p> <h1>Hello, QuickRef.ME!</h1> your script] Video ideas on any topic I want to make a series of videos about fashion. ChatGPT Certification What are we going to cover?

ChatGPT 95

ChatGPT Chatbots Explainability Software Engineer 95

Mlearning.ai

MAY 15, 2023

Python has become one of the most popular programming languages in the world, thanks to its simplicity, versatility, and vast array of applications. capitalize() string_hello = function(arg1, arg2) return string_hello return wrapper @names_decorator def say_hello(name1, name2): return 'Hello ' + name1 + '! Hello Ansh!'

Python 52

Python Explainability Data Analysis ML 52

Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. Until next time! [1]:

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

AWS Machine Learning Blog

MAY 17, 2024

After it’s deployed, you can run inference against the deployed endpoint through the SageMaker predictor: payload = {"inputs": "Hello!"} Shane Rai is a Principal GenAI Specialist with the AWS World Wide Specialist Organization (WWSO). You can change these configurations by specifying non-default values in JumpStartModel.

LLM 84

LLM Python Machine Learning Algorithm 84

AWS Machine Learning Blog

SEPTEMBER 11, 2023

See the following code: payload = { "inputs": "User: Hello!nFalcon: Louvre Museum: Home to some of the world's most famous art, including the Mona Lisa. Champs-Élysées: One of the most famous avenues in the world, lined with shops, cafes, and theaters. To learn more, refer to the API documentation.

Machine Learning 103

Machine Learning LLM Auto-complete ML 103

Mlearning.ai

JUNE 6, 2023

In this tutorial, you will find 70+ Python Machine learning projects with source code for beginners, intermediates, and experts to gain real-world experience with this growing technology, Let’s do it… Python Machine learning projects with source code 1. It can also be thought of as the ‘Hello World of ML world.

Machine Learning 52

Machine Learning Python Computer Vision Convolutional Neural Networks 52

Mlearning.ai

MARCH 14, 2023

and in that code try print(“Hello World). Click run and you should see Hello World printed in the terminal. pip install openai ChatGPT API walkthrough API takes a series of input parameters such as the API key, model Id of the mode you are trying to use and the message. Now you are good to go.

ChatGPT 52

ChatGPT OpenAI Natural Language Processing Python 52

Snorkel AI

MAY 25, 2023

The first chunk of the line, from 0 to 0.01, might be “hello.” to 0.019 might be “world,” and so on. This approach guides large language models to generate a series of intermediate steps before providing the final answer. The GPT series of models have a number of drawbacks. The second chunk, from 0.01

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

The first chunk of the line, from 0 to 0.01, might be “hello.” to 0.019 might be “world,” and so on. This approach guides large language models to generate a series of intermediate steps before providing the final answer. The GPT series of models have a number of drawbacks. The second chunk, from 0.01

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

AWS Machine Learning Blog

OCTOBER 9, 2023

After it’s deployed, you can run inference against the deployed endpoint through the SageMaker predictor: payload = {"inputs": " [INST] Hello! His research interests include scalable machine learning algorithms, computer vision, time series, Bayesian non-parametrics, and Gaussian processes. model serving.

ML 97

ML AI AI Machine Learning 97

Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. Git , the most commonly used version control system in the world, solves this problem by keeping track of changes to source code over time.

Data Science 52

Data Science Data Scientist Machine Learning Automation 52

Mlearning.ai

APRIL 17, 2023

Istanbul is one of the most popular cities in the world, there are many reasons why it is such a popular city. In this article, we will be diving into the shopping world of Istanbul. Previously, I did CRM work and forecasting work with a time series on the retail industry. This has led to changes in shopping habits.

Data Analysis 52

Data Analysis Categorization Explainability ML 52

The Stanford AI Lab Blog

MAY 31, 2022

Language Model Pretraining Language models (LMs), like BERT 1 and the GPT series 2 , achieve remarkable performance on many natural language processing (NLP) tasks. LinkBERT also internalizes more world knowledge and is effective for knowledge-intensive tasks, such as few-shot question answering. 6 Challenges.

BERT 40

BERT Natural Language Processing NLP Neural Network 40

Unite.AI

AUGUST 4, 2023

It enables an array of NLP applications such as virtual assistants, content generators, question-answering systems, and more, to solve a range of real-world problems. Agents An agent interacts with the world by performing actions and tasks. LangChain fills a crucial gap in AI development for the masses.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Do you need Airflow? Yes or no?”

ML 52

ML Data Scientist Machine Learning Data Science 52

The MLOps Blog

DECEMBER 29, 2022

Sabine: Hello, everyone, and welcome to MLOps Live. The faster you get latency in a production setting, and the cheaper you’re able to host, the more accessible it is to the world. You can get the best of both worlds. This is an interactive Q&A session with our guest today, Kyle Morris. You need speed.

ML 52

ML Auto-complete Machine Learning Python 52