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.

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NYU Center for Data Science

DECEMBER 12, 2023

The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development. The Center for Responsible AI is a testament to NYU’s commitment to pioneering research that upholds and advances these ideals.

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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.

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ODSC - Open Data Science

JANUARY 1, 2024

Webinars Under our Ai+ Training platform, we host playlists of past webinars that we’ve held with Microsoft. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

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ODSC - Open Data Science

FEBRUARY 5, 2024

This milestone is highlighted by a staggering 82 million downloads of its Spark NLP library and a significant expansion in its NLP Lab offerings. In the company’s news release, they state that this positions the company at the vanguard of generative AI technology.

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John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

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NYU Center for Data Science

JANUARY 3, 2024

Moreover, her collaboration with Microsoft researchers resulted in (De)Toxigen , a cutting-edge NLP model that significantly enhances hate speech detection capabilities, offering a robust support system for content moderators. Her goal is to empower everyday users, equipping them with tools to improve online safety.

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John Snow Labs

APRIL 23, 2024

mean response) was of higher importance than reproducibility (3.91), legal and reputation risk (3.89), explainability and transparency (3.83), and cost (3.8). Finally, the survey explores the large amount of remaining work in applying responsible AI principles in healthcare GenAI projects.

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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.

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John Snow Labs

DECEMBER 23, 2023

RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions. The system leverages LLMs to query the knowledge base via vector database that is populated by Healthcare NLP at scale within a Databricks notebook.

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John Snow Labs

DECEMBER 23, 2023

RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions. The system leverages LLMs to query the knowledge base via vector database that is populated by Healthcare NLP at scale within a Databricks notebook.

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IBM Journey to AI blog

OCTOBER 9, 2023

In the business world, AI could offer companies a competitive edge over peers slow to adopt machine learning, natural language processing (NLP) and generative capabilities. AI has also begun to provide concrete use cases indicating how the technology can help improve customer service in a tangible way.

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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

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ODSC - Open Data Science

JANUARY 31, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. It’s perfect for quick questions, code generation, or basic text manipulation.

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Marktechpost

JULY 4, 2023

In models like DALLE-2, prompt engineering includes explaining the required response as the prompt to the AI model. For example, an AI system skilled in identifying images of cats might classify all black-and-white images as cats, leading to imprecise results.

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ODSC - Open Data Science

JUNE 8, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes. Some of our most popular in-person sessions were: Data Science Software Acceleration at the Edge: Audrey Reznik Guidera | Sr.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Five Ways to Safely Use Generative AI From workers using chatbots as research assistants to creating art through image generators and more, here are a few ways that you can safely use generative AI. Here’s how you can uncover actionable textual and geospatial patterns related to counter human trafficking using NLP.

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Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Composite AI plays a pivotal role in enhancing interpretability and transparency. Combining diverse AI techniques enables human-like decision-making.

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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.

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ODSC - Open Data Science

DECEMBER 5, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here!

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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.

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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. Explain the different ad formats available on each platform, targeting options, and bidding strategies.

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ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. NLP skills have long been essential for dealing with textual data.

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IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities.

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John Snow Labs

JANUARY 25, 2024

The shift across John Snow Labs’ product suite has resulted in several notable company milestones over the past year including: 82 million downloads of the open-source Spark NLP library. The no-code NLP Lab platform has experienced 5x growth by teams training, tuning, and publishing AI models.

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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.

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Heartbeat

FEBRUARY 29, 2024

Understanding LLMs: A Brief Overview Large Language Models, such as OpenAI’s GPT-3 and successors, are a product of advances in artificial intelligence, particularly in natural language processing (NLP). What sets LLMs apart is their ability to comprehend context, understand nuances, and produce coherent and contextually relevant responses.

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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Viso.ai

DECEMBER 18, 2023

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. Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications.

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AWS Machine Learning Blog

OCTOBER 17, 2023

One challenge that agents face is finding the precise information when answering customers’ questions, because the diversity, volume, and complexity of healthcare’s processes (such as explaining prior authorizations) can be daunting. Then we explain how the solution uses the Retrieval Augmented Generation (RAG) pattern for its implementation.

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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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.

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Topbots

JULY 7, 2023

Then, explain the available cars that match their preferences”. Output The output entry contains the responses given by ChatGPT and the consecutive trials every time you hit the Regenerate response button: { "output":{ "feedback_version":"inline_regen_feedback:a:1.0",

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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. When users ask questions, our virtual assistant rapidly searches through the Amazon Kendra index to find relevant information.

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Heartbeat

OCTOBER 12, 2023

The Rise of Large Language Models The emergence and proliferation of large language models represent a pivotal chapter in the ongoing AI revolution. These models, powered by massive neural networks, have catalyzed groundbreaking advancements in natural language processing (NLP) and have reshaped the landscape of machine learning.

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Unite.AI

NOVEMBER 29, 2023

Among the techniques employed to counter false information, natural language processing (NLP) emerges as a transformative technology that skillfully deciphers patterns of deception within written content. The Bottom Line In conclusion, AI watchdogs are indispensable in safeguarding elections and adapting to evolving disinformation tactics.

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