IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. The development and use of these models explain the enormous amount of recent AI breakthroughs.

Metadata 179

Metadata Explainability Automation AI 179

Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. This method requires fewer resources at test time and has been shown to effectively explain model predictions, even in LLMs with billions of parameters.

LLM 264

LLM Machine Learning Explainability Algorithm 264

IBM Journey to AI blog

OCTOBER 9, 2023

It can do this primarily by helping automate government services offered to citizens, as well as create greater efficiencies in how agencies communicate internally and with people who rely on public services. In this way, AI-enhanced automation and efficiency could help enable government agencies to serve as a hub for citizens.

Automation 130

Automation AI AI Natural Language Processing 130

ODSC - Open Data Science

AUGUST 29, 2023

AI Prompt Engineer An AI Prompt Engineer is a specialized professional at the forefront of the AI and NLP landscape. For those who might not know, this role acts as a bridge between human intent and machine understanding, shaping the interactions we have with AI systems.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

ODSC - Open Data Science

OCTOBER 3, 2023

You should be comfortable using tools and libraries for NLP to automate this process. A strong ethical and critical thinking framework is essential for ensuring the responsible use of AI in generating content. This involves both quantitative and qualitative analysis.

Prompt Engineer 97

Prompt Engineer Prompt Engineering Large Language Models AI Modeling 97

AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. His experience extends across different areas, including natural language processing, generative AI, and machine learning operations.

Generative AI 103

Generative AI Natural Language Processing Machine Learning Large Language Models 103

ODSC - Open Data Science

JANUARY 25, 2023

For now, this public registry contains reusable components that make it easier to work with Responsible AI, but new capabilities will continuously be added in the future. You can also re-use assets from the “azureml” system registry, which is available to all users.

Machine Learning 59

Machine Learning Data Scientist ML Python 59

ODSC - Open Data Science

FEBRUARY 6, 2024

Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. 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

Large Language Models 52

Large Language Models LLM Big Data NLP 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

Day 2 is also the first day of our revamped Ai X Business and Innovation Summit. You’ll also find another full day of hands-on training sessions and workshops on Responsible AI, MLOps, Generative AI, and more. However, it will be the first day of ODSC Keynotes and expert-led talks.

Large Language Models 52

Large Language Models Data Science Machine Learning Prompt Engineer 52

ODSC - Open Data Science

AUGUST 21, 2023

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search. Check the ODSC West tracks out below.

Data Science 52

Data Science Machine Learning Deep Learning Data Mining 52

Heartbeat

AUGUST 4, 2023

One element that makes this study more important is that they have put forward an approach that adopts the ethical principles of Responsible AI. Task The inspiration for this study is zero-hot and few-shot learning by using the “prompting” techniques used in NLP, especially for new datasets.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Computer Vision Deep Learning 52

Ofemwire

MARCH 1, 2024

AI-generated content should focus on delivering accurate information, engaging narratives, and useful insights while incorporating SEO best practices to maintain quality and relevance. Cover topics such as email list segmentation, personalized email content, A/B testing, and email automation.

AI 111

AI AI Natural Language Processing Explainability 111

Dlabs.ai

AUGUST 31, 2021

AI & NLP Day 2021 Date: September 23-24h Place: Online Ticket: 399-1,599 PLN The next AI event is a little more focused, placing the lion’s share of its attention on natural language programming. If you walk in political circles or need to tackle complex economic questions, this is the conference for you.

Computer Vision 52

Computer Vision Big Data Deep Learning Data Science 52

Heartbeat

FEBRUARY 29, 2024

These tools have evolved to support the demands of modern software engineering, offering features like real-time collaboration, code analysis, and automated testing. What sets LLMs apart is their ability to comprehend context, understand nuances, and produce coherent and contextually relevant responses.

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

AWS Machine Learning Blog

MARCH 14, 2024

Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents. The relevant information is then provided to the LLM for final response generation. This approach could further investigate providing intelligent automation and data search abilities through customizable agents.

Generative AI 94

Generative AI LLM AI AI 94

Viso.ai

DECEMBER 18, 2023

Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. Applications of Synthetic Data in Artificial Intelligence and Machine Learning Synthetic data can train and test models for computer vision (CV), natural language processing (NLP), speech recognition, and more.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

The MLOps Blog

MARCH 21, 2023

Automation You want the ML models to keep running in a healthy state without the data scientists incurring much overhead in moving them across the different lifecycle phases. Automation is a good MLOps practice for speeding up all parts of that lifecycle. This would let you roll back changes and inspect potentially buggy code.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69