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.

Artificial Intelligence 116

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 116

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.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineering 122

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.

Artificial Intelligence 132

Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

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?

AI 300

AI AI Artificial Intelligence Artificial Intelligence 300

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,

LLM 249

LLM Large Language Models Generative AI Responsible AI 249

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.

ChatGPT 100

ChatGPT Prompt Engineering Prompt Engineer Explainability 100

ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Scientist 52

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.

Generative AI 121

Generative AI Prompt Engineering Prompt Engineer LLM 121

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.

Automation 117

Automation Prompt Engineering Prompt Engineer Categorization 117

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.

ESG 125

ESG Generative AI AI AI 125

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.

Generative AI 127

Generative AI Prompt Engineering Prompt Engineer AI 127

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.

Data Scientist 98

Data Scientist Responsible AI AI AI 98

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.

Generative AI 112

Generative AI LLM Large Language Models AI 112

AWS Machine Learning Blog

NOVEMBER 25, 2024

High-quality translations from top-tier models were financially unfeasible, whereas more affordable options couldn’t meet the standard of accuracy and consistency that 123RF’s business demanded. By carefully crafting prompts, we can provide context and structure that helps mitigate this variability.

Prompt Engineering 89

Prompt Engineering Prompt Engineer Metadata Generative AI 89

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.

Generative AI 105

Generative AI AI AI Responsible AI 105

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.

Explainability 96

Explainability Explainable AI Natural Language Processing Prompt Engineering 96

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?

Generative AI 121

Generative AI Prompt Engineering Prompt Engineer Automation 121

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.

ML 123

ML Generative AI AI AI 123

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!

ML 125

ML Generative AI Prompt Engineering Prompt Engineer 125

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.

Automation 52

Automation Prompt Engineer Prompt Engineering Explainability 52

AWS Machine Learning Blog

DECEMBER 11, 2024

EBSCOlearning experts and GenAIIC scientists worked together to develop a sophisticated prompt engineering approach using Anthropics Claude 3.5 Sonnet model in Amazon Bedrock. This rating is later used for revising the questions. This process presented several significant challenges.

Generative AI 79

Generative AI Large Language Models AI AI 79

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.

Generative AI 64

Generative AI Machine Learning Deep Learning AI 64

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.

Generative AI 52

Generative AI Large Language Models Prompt Engineering Prompt Engineer 52

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.

Generative AI 133

Generative AI Prompt Engineering Prompt Engineer Python 133

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.

Data Science 52

Data Science DevOps Machine Learning Large Language Models 52

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.

Large Language Models 52

Large Language Models LLM Deep Learning Data Science 52

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.

Generative AI 52

Generative AI Large Language Models Prompt Engineering Prompt Engineer 52

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.

Data Science 52

Data Science Large Language Models Data Scientist Prompt Engineering 52

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.

Large Language Models 52

Large Language Models Big Data LLM Data Science 52

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.

Data Science 52

Data Science Continuous Learning Deep Learning Machine Learning 52

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!

Big Data 52

Big Data Large Language Models Data Science Deep Learning 52

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.

Data Science 52

Data Science Data Scientist Continuous Learning Deep Learning 52

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.

ML 86

ML Generative AI AI AI 86

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.

ChatGPT 52

ChatGPT Neural Network Prompt Engineering Prompt Engineer 52

The MLOps Blog

JUNE 27, 2023

W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

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.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52