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AI

Democratizing AI with Open Source | Apache Con - Community Over Code - Keynote 2023 | Charu Anchlia

How do Open Source contributions to datasets, models, and tools foster AI adoption - both in enterprises as well as organizations focused on social good? Charu Anchlia, Enterprise AI Architect at Cloudera, presents a keynote at ApacheCon 2023 focusing on the future of democratized AI fueled by open source communities. To learn more about Cloudera visit cloudera.com.

Impacts and Takeaways From the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.

What the White House Executive Order means for AI development and testing: Tricentis takeaways

On October 30, 2023, President Joe Biden issued a landmark Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence (AI). The Executive Order represents a comprehensive statement of intent for AI regulation, mandating transparency from firms that use AI and establishing safety and security standards. Moreover, it compels AI developers to disclose the outcomes of safety evaluations to the U.S. government, especially if the results indicate a potential threat to national security.

Cloudera's QATS Certification for Dell PowerScale Unleashes a New Era of Data Management

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI.

Performance Testing and ChatGPT

Performance testing applications requires a set of skill that are build and gathered over many years of studying and using the various techniques and tools that are required to make sure the application you are testing is fit for production. Now we have all heard of Artificial Intelligence (AI) and the many tools and companies that now exist in the AI space. Based on a quick look on the internet there are around 15,000 AI startups in the United States alone.

How to Write API Test Cases Using ChatGPT | Sidharth Shukla | #apitesting #chatgpt #chatgptprompts

In this hands-on demonstration, Sidharth Shukla showcases the innovative integration of ChatGPT in writing API test cases. Breaking new ground in the world of testing, Sidharth illustrates how ChatGPT, a powerful language model, can be harnessed to streamline and enhance the process of crafting API test cases.

The AI revenue wave

The past year has seen an unprecedented AI hype wave triggered by the launch of OpenAI’s ChatGPT. Analysis abounds on whether the hype is real, where value will accrue and whether generative AI-first product builders have a real shot at category disruption or creation. As frenzied R&D and market activity continue unabated, market maps and take after take continue to drop hot. But what about revenue?

Amazon Bedrock Analytics Sources - Quick Demo (using Anthropic)

Amazon Bedrock is the name of the Amazon service that offers a single API to access foundation models provided by companies such as AI21, Amazon Titan, Anthropic and Cohere, from which you can build generative AI into your Qlik applications without writing any code. With generative AI, organizations can broaden insight and context while adding a variety of new and exciting capabilities directly in analytics apps, load scripts, and through app automations. The analytics connector constructs questions and our unique associative engine passes only relevant data related to those selections, in real-time, allowing users to get contextually relevant responses while minimizing cost and complexity. Automation connectors offer the ability for developers to send questions and receive responses and data sets as part of automation workflows.

ChatGPT API Pricing (Cost): Everything You Need to Know

API pricing is important for developers and businesses alike, as it shapes strategic decisions and resource allocation. As APIs are integral to AI App developers’ frameworks , cost-value alignment in pricing ensures informed choices for organizations and customers alike, preventing unexpected financial hurdles. For AI-based API products like the ChatGPT API, pricing models must offer clarity and flexibility.