IBM Journey to AI blog

OCTOBER 30, 2024

The platform incorporates the innovative Prompt Lab tool, specifically engineered to streamline prompt engineering processes. Notably, the prompt text, model references, and prompt engineering parameters are meticulously formatted as Python code within notebooks, allowing for seamless programmable interaction.

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Prompt Engineer Prompt Engineering ETL Machine Learning 285

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 second apes the BBC; AI decisions that affect people should not be made without a human arbiter.

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OpenAI Prompt Engineer Prompt Engineering Responsible AI 288

Marktechpost

MAY 30, 2024

Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning. It also includes guidance on using Google Tools to develop your own Generative AI applications. It also introduces Google’s 7 AI principles.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

Towards AI

JULY 27, 2024

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. This generative AI model is trained on a carefully curated dataset thus it minimizes biases and factual errors to a large extent.

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ChatGPT Prompt Engineer Prompt Engineering Explainability 101

Marktechpost

AUGUST 31, 2024

This creates a significant obstacle for real-time applications that require quick response times. Researchers from Microsoft Responsible AI present a robust workflow to address the challenges of hallucination detection in LLMs. This creates a mix of true positive and false positive cases for analysis.

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Large Language Models Categorization LLM Explainability 130

John Snow Labs

SEPTEMBER 26, 2024

Advanced prompt engineering to refine criteria for paper inclusion and exclusion. Traceability and explainability features to ensure transparency and accountability in the results. The tool offers: Keyword-based search across public biomedical databases.

Automation 52

Automation Prompt Engineer Prompt Engineering Explainability 52

Mlearning.ai

JULY 8, 2023

Add Responsible AI to LLM’s Add Abuse detection to LLM’s. LLM Ops flow — Architecture Architecture explained. Prompt Engineering — this is where figuring out what is the right prompt to use for the problem. Add monitoring and auditing code to log prompts and completion. This is an iterative pattern.

Large Language Models 52

Large Language Models LLM Prompt Engineer Prompt Engineering 52

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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Automation Prompt Engineer Prompt Engineering Categorization 126

AWS Machine Learning Blog

OCTOBER 24, 2024

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

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Generative AI Large Language Models Explainability LLM 96

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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Data Scientist AI AI Responsible AI 98

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. To see this capability effectively in applications, it is necessary to direct the language model with the correct prompt entries. Thus, the models produce more successful outputs.

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Prompt Engineering Prompt Engineer Computer Vision Deep Learning 52

IBM Journey to AI blog

MARCH 4, 2024

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? The scale and impact of next-generation AI emphasize the importance of governance and risk controls.

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AI AI Artificial Intelligence Artificial Intelligence 312

Topbots

JULY 29, 2024

Introduction to Generative AI by Google Cloud Level: Beginner Duration: Specialization with 4 courses (approximately 4 hours total) Cost: Free Instructor: Google Cloud Training Team Audience: This course is ideal for individuals looking to deepen their understanding of generative AI and large language models.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

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.

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Generative AI Prompt Engineer Prompt Engineering Metadata 129

AWS Machine Learning Blog

NOVEMBER 22, 2023

Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. Also hear different architectural patterns that customers use today to harness their business data for customized generative AI solutions.

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ML Generative AI Prompt Engineer Prompt Engineering 132

AWS Machine Learning Blog

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. He holds passion about meta-agents, scalable on-demand inference, advanced RAG solutions and cost optimized prompt engineering with LLMs.

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LLM Generative AI Prompt Engineering Prompt Engineer 125

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 LLM Big Data Data Science 52

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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Prompt Engineer Prompt Engineering Generative AI Responsible AI 127

AWS Machine Learning Blog

MAY 9, 2024

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. To provide ethical integrity , an AI/ML CoE helps integrate robust guidelines and safeguards across the AI/ML lifecycle in collaboration with stakeholders.

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ML Generative AI AI AI 131

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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Large Language Models LLM Deep Learning Data Science 52

AWS Machine Learning Blog

NOVEMBER 19, 2024

Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices. Fifth, we’ll showcase various generative AI use cases across industries. In this session, learn best practices for effectively adopting generative AI in your organization.

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ML Generative AI AI AI 89

AWS Machine Learning Blog

APRIL 18, 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 with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 129

Generative AI Automation Prompt Engineer Prompt Engineering 129

Pickl AI

AUGUST 2, 2023

Software Development ChatGPT can assist developers in writing code snippets, explaining complex programming concepts, or troubleshooting issues. The Ethical Considerations While Using ChatGPT With the advancements in AI, ethical concerns are paramount. Key features of ChatGPT4 which make it better than GPT 3.5

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Insight Engine Generative AI LLM AI 134

AWS Machine Learning Blog

JUNE 20, 2024

Additionally, evaluation can identify potential biases, hallucinations, inconsistencies, or factual errors that may arise from the integration of external sources or from sub-optimal prompt engineering. In this case, the model choice needs to be revisited or further prompt engineering needs to be done.

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Auto-classification LLM Prompt Engineer Prompt Engineering 132

The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. Learn more from the documentation.

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Metadata Machine Learning Data Scientist Data Quality 134

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. “In

Prompt Engineer 265

Prompt Engineer Prompt Engineering Big Data AI 265

AWS Machine Learning Blog

SEPTEMBER 23, 2024

This post explains how to use Anthropic Claude on Amazon Bedrock to generate synthetic data for evaluating your RAG system. This step uses prompt engineering techniques to communicate effectively with the large language model (LLM). The augmented prompt allows the LLM to generate an accurate answer to user queries.

LLM 89

LLM Large Language Models Automation Machine Learning 89

Heartbeat

NOVEMBER 23, 2023

Whether you’re building conversational agents, question-answer systems, or any AI tool, the self-critique chain offers an added layer of assurance. This feature emphasizes the commitment to responsible AI, which provides accurate answers and ensures the content adheres to broader societal values. ' name='harmful1' 1.

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LLM Data Scientist OpenAI AI Tools 52

AWS Machine Learning Blog

OCTOBER 8, 2024

Prompt design for agent orchestration Now, let’s take a look at how we give our digital assistant, Penny, the capability to handle onboarding for financial services. The key is the prompt engineering for the custom LangChain agent. The following sections explain how to deploy the solution in your AWS account.

Automation 114

Automation Prompt Engineer Prompt Engineering Computer Vision 114

AWS Machine Learning Blog

SEPTEMBER 18, 2024

After the profile is converted into text that explains the profile, a RAG framework is launched using Amazon Bedrock Knowledge Bases to retrieve related industry insights (articles, pain points, and so on). The process employs techniques like RAG, prompt engineering with personas, and human-curated references to maintain output control.

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Generative AI LLM AI AI 121

ODSC - Open Data Science

SEPTEMBER 20, 2023

Confirmed Extra Events Halloween Data After Dark AI Expo and Demo Hall Virtual Open Spaces Morning Run Day 3: Wednesday, November 1st (Bootcamp, Platinum, Gold, Silver, VIP, Virtual Platinum, Virtual Premium) The third day of ODSC West 2023, will be the second and last day of the Ai X Business and Innovation Summit and the AI Expo and Demo Hall.

Large Language Models 52

Large Language Models Data Science Machine Learning Prompt Engineer 52