Marktechpost

JUNE 19, 2024

The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI. Generative AI for Everyone This course provides a unique perspective on using generative AI. It aims to empower everyone to participate in an AI-powered future.

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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. Another major company which takes its responsibilities for ethical AI seriously is Bosch.

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Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce.

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Towards AI

JULY 27, 2024

Claude AI and ChatGPT are both powerful and popular generative AI models revolutionizing various aspects of our lives. Dedicated to safety and security It is a well-known fact that Anthropic prioritizes responsible AI development the most, and it is clearly seen in Claude’s design.

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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John Snow Labs

SEPTEMBER 26, 2024

Advanced prompt engineering to refine criteria for paper inclusion and exclusion. This session explores the extent to which systematic reviews can be semi-automated using cutting-edge, healthcare-specific Generative AI models, and discusses the implications for the future of evidence-based medicine.

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Towards AI

OCTOBER 19, 2024

Figure 3: A “beeswarm” plot from SHAP to examine the impact of different features on income from census data The Challenge of Modern AI Models While these XAI techniques work well for traditional ML models, modern AI systems like Large Language Models (LLMs) present new challenges.

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IBM Journey to AI blog

JULY 23, 2024

collection of multilingual large language models (LLMs). comprises both pretrained and instruction-tuned text in/text out open source generative AI models in sizes of 8B, 70B and—for the first time—405B parameters. today, with the 8B and 70B models soon to follow. The instruction-tuned Llama 3.1-405B,

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AWS Machine Learning Blog

MAY 13, 2024

Amazon Bedrock also comes with a broad set of capabilities required to build generative AI applications with security, privacy, and responsible AI. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

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Topbots

JULY 29, 2024

Prompt Tuning: An overview of prompt tuning and its significance in optimizing AI outputs. Google’s Gen AI Development Tools: Insight into the tools provided by Google for developing generative AI applications. Content: Introduction into LLMs: An overview of how large language models work.

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IBM Journey to AI blog

MARCH 4, 2024

Should you use a retrieval augmented generation (RAG) model by pairing your data with a public foundation model? Do you use gen AI out of the box? How can you master prompt engineering? When should you prompt-tune or fine-tune? Where do you harness gen AI vs. predictive AI vs. AI orchestration?

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AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. They’re illustrated in the following figure.

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ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered AI.

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AWS Machine Learning Blog

APRIL 22, 2024

Set the right data foundations As a CEO aiming to use generative AI to achieve sustainability goals, remember that data is your differentiator. Figure 5 offers an overview on generative AI modalities and optimization strategies, including prompt engineering , Retrieval Augmented Generation , and fine-tuning or continued pre-training.

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AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce. To learn more and start building, refer to the following resources.

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How to Learn Machine Learning

JULY 20, 2024

7 Generative AI trends to look out for in 2024 Open-Source AI models Open-source AI models refer to models whose source code is accessible to researchers, developers, and organizations. In 2024, there’s been a lot of interest in pre-trained open-source Generative AI models.

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ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

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ODSC - Open Data Science

JANUARY 10, 2024

Deploying Trustworthy Generative AI Krishnaram Kenthapadi | Chief AI Officer & Chief Scientist | Fiddler AI Generative AI models have engendered several ethical and social considerations that need to be addressed.

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ODSC - Open Data Science

MAY 21, 2024

At ODSC Europe 2024, you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, RAGs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

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ODSC - Open Data Science

AUGUST 3, 2023

ODSC Keynote — Infuse Generative AI in your apps using Azure OpenAI Service Eve Psalti | Principal Group Program Manager | Microsoft Join this session to learn how Azure OpenAI Service can help your business integrate large language models to help create innovative applications.

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ODSC - Open Data Science

APRIL 21, 2023

Well, during the hackathon you’ll have access to cutting-edge tools and platforms, including Weaviate and OpenAI API & ChatGPT plugins, to work on projects such as generative search and prompt engineering. Present your innovative solution to both a live audience and a panel of judges.

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AWS Machine Learning Blog

MAY 21, 2024

This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges. We dive into the technical aspects of our implementation and explain our decision to choose Amazon Bedrock as our foundation model provider. Why Amazon Bedrock?

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ODSC - Open Data Science

FEBRUARY 6, 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.

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AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

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AWS Machine Learning Blog

JUNE 18, 2024

The advantages of using generative AI for virtual travel agents include improved customer satisfaction, increased efficiency, and the ability to handle a high volume of inquiries simultaneously. However, the deployment of generative AI in customer-facing applications raises concerns around responsible AI.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Third, a number of sessions will be of interest to ML practitioners who build, deploy, and operationalize both traditional and generative AI models. Then, as we started doing last re:Invent, we’ll be offering several sessions on how to build AI responsibly. This year, learn about LLMOps, not just MLOps!

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ODSC - Open Data Science

SEPTEMBER 26, 2023

At ODSC West 2023 , you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

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ODSC - Open Data Science

FEBRUARY 8, 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. Register soon!

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Pickl AI

AUGUST 2, 2023

Its responses are based on patterns observed in the training data, which can sometimes lead to biased or untruthful outputs. Efforts are continually being made to improve AI models’ safety, robustness, and ethical usage. Overreliance on AI models may have long-term consequences for the human brain.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

Discover how the fully managed infrastructure of SageMaker enables high-performance, low cost ML throughout the ML lifecycle, from building and training to deploying and managing models at scale. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

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AWS Machine Learning Blog

MARCH 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Similar to when you train a model, it has a certain degree of, let’s say, an F1 score or accuracy or what. Number two is the model transparency and reproducibility.

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Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Similar to when you train a model, it has a certain degree of, let’s say, an F1 score or accuracy or what. Number two is the model transparency and reproducibility.

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AI News

JUNE 28, 2024

Microsoft has disclosed a new type of AI jailbreak attack dubbed “Skeleton Key,” which can bypass responsible AI guardrails in multiple generative AI models. The Skeleton Key jailbreak employs a multi-turn strategy to convince an AI model to ignore its built-in safeguards.

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Snorkel AI

JUNE 7, 2023

Mann touched on many details of the project—from the mix of the data Bloomberg used to their training sequence to the impact of the numerical precision of gradient estimates to the challenge in evaluating the performance of generative AI models. The output of generative models defies simple comparisons to test sets.

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