Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. Participants will learn about the applications of Generative AI and explore tools developed by Google to create their own AI-driven applications.

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Marktechpost

JANUARY 17, 2024

Artificial intelligence (AI) systems are expanding and advancing at a significant pace. The two main categories into which AI systems have been divided are Predictive AI and Generative AI. The well-known Large Language Models (LLMs), which have recently gathered massive attention, are the best examples of generative AI.

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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. The company says it has also achieved ‘near human’ proficiency in various tasks.

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AI News

APRIL 24, 2024

The key advantage of SLMs is their smaller size enabling on-device deployment for low-latency AI experiences without network connectivity. “Because it’s reading from textbook-like material…you make the task of the language model to read and understand this material much easier,” Bubeck explained.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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John Snow Labs

APRIL 23, 2024

A strong preference for healthcare-specific models was a key criterion when evaluating large language models (LLMs). Requiring models to be tuned specifically for healthcare (4.03 Finally, the survey explores the large amount of remaining work in applying responsible AI principles in healthcare GenAI projects.

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Flipboard

AUGUST 6, 2023

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. Check out the GitHub and Reference Article.

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Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc. What is prompt engineering?

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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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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). They also enable near-real-time data updates without re-tuning the LLM.

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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). They also enable near-real-time data updates without re-tuning the LLM.

LLM 52

LLM Chatbots Large Language Models NLP 52

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. Increase trust in AI outcomes.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Large Language Models are everywhere these days. Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference.

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ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. There are several reasons why responsible AI is critical as the technology continues to advance.

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ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

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ODSC - Open Data Science

OCTOBER 3, 2023

If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text. This role is pivotal in harnessing the full potential of large language models.

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John Snow Labs

JANUARY 29, 2024

John Snow Labs , the AI for healthcare company, has won the 2024 Global 100 Award for the Best Medical Application of Large Language Models (LLMs). The chatbot provides full explainability by always citing its sources, and prioritizes privacy through features like role-based access.

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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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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

JANUARY 10, 2024

Andre Franca | CTO | connectedFlow Explore the world of Causal AI for data science practitioners, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short.

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Unite.AI

APRIL 30, 2024

Ethical Considerations and Challenges Ethical considerations and challenges are significant in the development of self-reflective AI systems. Transparency and accountability are at the forefront, necessitating explainable systems that can justify their decisions.

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NVIDIA

MARCH 1, 2024

Safety guardrails set limits on the language and data sources the apps use in their responses. Security guardrails seek to prevent malicious use of a large language model that’s connected to third-party applications or application programming interfaces.

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Snorkel AI

JANUARY 26, 2024

Snorkel AI’s Jan. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Generic large language models (LLMs) are becoming the new baseline for modern enterprise AI. Slides for this session.

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ODSC - Open Data Science

FEBRUARY 5, 2024

In the company’s news release, they state that this positions the company at the vanguard of generative AI technology. Their focus has been on advancing large language models tailored for healthcare, which has paid off as the company was able to report record revenue and community growth.

NLP 52

NLP Large Language Models Data Science Artificial Intelligence 52

Snorkel AI

JANUARY 26, 2024

Snorkel AI’s Jan. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Generic large language models (LLMs) are becoming the new baseline for modern enterprise AI. Slides for this session.

LLM 52

LLM Large Language Models Explainability Data Science 52

Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

You can directly use the FMEval wherever you run your workloads, as a Python package or via the open-source code repository, which is made available in GitHub for transparency and as a contribution to the Responsible AI community. FMEval allows you to upload your own prompt datasets and algorithms.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity. Guardrails drive consistency in how FMs on Amazon Bedrock respond to undesirable and harmful content within applications.

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AI Impacts

FEBRUARY 1, 2023

For a typical example, here is a diagram from a US Department of Defense report on responsible AI: 3 The system in this diagram is not formally evaluated for safety or performance until after “Acquisition/Development” 4 I do not find it surprising that this model is so common.

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Flipboard

JULY 28, 2023

Paige Vickers/Vox; Getty Images The AI debate splitting the tech world, explained. Last week, Meta made a game-changing move in the world of AI. That means other companies can now use Meta’s Llama 2 model, which some technologists say is comparable to ChatGPT in its capabilities, to build their own customized chatbots.

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Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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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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Heartbeat

AUGUST 4, 2023

The Segment Anything Model (SAM) , which claims to segment everything, was published with the SA-1B dataset of 1 billion masks on 11 million images. One element that makes this study more important is that they have put forward an approach that adopts the ethical principles of Responsible AI.

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AWS Machine Learning Blog

DECEMBER 5, 2023

This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases.

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Google Research AI blog

FEBRUARY 23, 2023

Any discussion of today’s outlook on applied generative modeling would be incomplete without mention of recent developments in the field of large language models (LLMs). the LLM would generate a response explaining that yes, stress can cause nosebleeds, and detail some possible mechanisms.

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Google Research AI blog

MAY 18, 2023

We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. Our inspiration this year is "changing the way people think about what THEY can do with AI.”

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ODSC - Open Data Science

JANUARY 23, 2024

In an ODSC webinar , Pandata’s Nicolas Decavel-Bueff and myself ( Cal Al-Dhubaib ) partnered with Data Stack Academy’s Parham Parvizi to share some of the lessons we’ve learned from building enterprise-grade large language models (LLMs) — and tips on how data scientists and data engineers can get started as well.

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