JivoChat

APRIL 23, 2023

The chatbot had built-in scripts which enabled it to answer questions about a specific subject. In 1988, Jabberwacky was built by the developer Rollo Carpenter to simulate human conversation for entertainment purposes. Healthcare Clinics and hospitals are using chatbots for many things.

Chatbots 75

Chatbots B2C Self service Banking 75

AWS Machine Learning

FEBRUARY 14, 2024

Pose estimation has real-world applications in sports, robotics, security, augmented reality, media and entertainment, medical applications, and more. For the purposes of this post, we create a labeling job using the example scripts and images provided in the repository. CD into the scripts directory in the repository.

Scripts 100

Scripts Engineering Entertainment Healthcare 100

AWS Machine Learning

JANUARY 26, 2024

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. He recharges through reading, traveling, food and wine, discovering new music, and advising early-stage startups.

Best practices 120

Best practices Government Engineering Accountability 120

AWS Machine Learning

JANUARY 25, 2023

Running large models like Stable Diffusion requires custom inference scripts. You have to run end-to-end tests to make sure that the script, the model, and the desired instance work together efficiently. JumpStart simplifies this process by providing ready-to-use scripts that have been robustly tested.

APIs 72

APIs Scripts Real estate Entertainment 72

SmartKarrot

APRIL 17, 2023

It is a versatile chatbot capable of answering a wide range of questions and engaging in natural language conversations on various topics, including but not limited to education, entertainment, and technology. Here’s a step-by-step guide to getting started with chatbot scripts.

Chatbots 10

Chatbots Scripts Enterprise Personalization 10

AWS Machine Learning

SEPTEMBER 1, 2023

Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. Training dataset – It’s also important to understand what kind of data the FM was trained on. Others may also be trained on multimodal datasets, like combinations of text and image data.

Engineering 100

Engineering Accountability Construction APIs 100

AWS Machine Learning

JUNE 27, 2023

The ML components for data ingestion, preprocessing, and model training were available as disjointed Python scripts and notebooks, which required a lot of manual heavy lifting on the part of engineers. The initial solution also required the support of a technical third party, to release new models swiftly and efficiently.

Engineering 93

Engineering APIs Scripts Entertainment 93

AWS Machine Learning

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository. and data_loader.py

Analytics 69

Analytics Healthcare Scripts Accountability 69

AWS Machine Learning

FEBRUARY 20, 2023

Fine-tuning large models like Stable Diffusion usually requires you to provide training scripts. Furthermore, you have to run end-to-end tests to make sure that the script, the model, and the desired instance work together in an efficient manner. We fetch the required Docker Image URIs and script URIs and deploy the model.

Scripts 78

Scripts APIs Entertainment Construction 78

AWS Machine Learning

AUGUST 17, 2023

Option B: Use a SageMaker Processing job with Spark In this option, we use a SageMaker Processing job with a Spark script to load the original dataset from Amazon Redshift, perform feature engineering, and ingest the data into SageMaker Feature Store. The environment preparation process may take some time to complete.

APIs 73

APIs Engineering Scripts Analytics 73

AWS Machine Learning

MARCH 1, 2023

These models will greatly benefit various industries such as fashion, retail and e-commerce, entertainment, social media, marketing, and more. You can choose to generate them on your own or generate # them on the fly when running the training script. # # You can access train_dreambooth_inpaint.py

Scripts 80

Scripts Engineering Entertainment Personalization 80

Branch Mesenger

FEBRUARY 2, 2018

We package up those stories, include exclusive interviews, tips, tricks, and tactics about retail call centers, distribution, fitness, healthcare, and managing verticals and we send those out to our users. Like, only the insiders know, or some celebrity makes an announcement an hour before you know, and you feel special by going there.

Real estate 67

Real estate Marketing Technology Personalization 67

AWS Machine Learning

SEPTEMBER 6, 2023

Despite the great generalization capabilities of these models, there are often use cases that have very specific domain data (such as healthcare or financial services), because of which these models may not be able to provide good results for these use cases. The following table compares different methods with the three Llama 2 models.

Advertising 95

Advertising Coaching Benchmark Education 95

AWS Machine Learning

NOVEMBER 1, 2023

Their use cases span various domains, from media entertainment to medical diagnostics and quality assurance in manufacturing. Refer to the following README for multimodality dataset preparation and the fine-tuning script for further details. The Python utility script dino_sam_inpainting.py box_threshold=0.5,

APIs 90

APIs Engineering Construction Scripts 90