AI Chatbots Prompt Engineering Responsible AI 
Towards AI
JULY 27, 2024
Claude AI is an LLM based on the powerful transformer architecture and like OpenAI’s ChatGPT, it can generate text, translate languages, as well as write different kinds of compelling content. It can interact with users like a normal AI chatbot; however, it also boasts some unique features that make it different from others.
Robot Writers AI
JANUARY 21, 2024
According to writer Scott Clark, the “comprehensive courses are available for those seeking a more in-depth understanding of what some are describing as both a science and an art form (prompt engineering).” Observes Lahiri: “Founded in 2021 by former OpenAI employees, Anthropic focuses on responsible AI and safety.
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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.
ODSC - Open Data Science
JANUARY 10, 2024
These concerns include lack of interpretability, bias, and discrimination, privacy, lack of model robustness, fake and misleading content, copyright implications, plagiarism, and environmental impact associated with training and inference of generative AI models.
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.
AWS Machine Learning Blog
NOVEMBER 12, 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, 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.
AWS Machine Learning Blog
DECEMBER 2, 2024
It also provides retrieve and generate evaluation metrics such as correctness, completeness, and helpfulness, as well as responsible AI metrics such as harmfulness and answer refusal. Use prompt engineering to improve accuracy from 64% to 76% Prompt engineering is a crucial technique to improve the performance of LLMs.
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