Systems | Development | Analytics | API | Testing

AI

Unlocking the Power of LLMs | From Introduction to Enterprise Deployment #ai #llm

In today's rapidly evolving digital landscape, Large Language Models (LLMs) and Generative AI are emerging as transformative tools for enterprises. These innovations are not only changing how we interact with data but are also reshaping the very fabric of business operations. Unlike other public LLMs, what happens in your organization stays in your organization. But with great power comes great responsibility—and the need for in-depth understanding.

Testing Strategies for Generative AI Applications | Sumit Mundhada | #TestFlix 2023 #GenerativeAI

In this enlightening session, Sumit Mundhada explores the dynamic landscape of Generative AI applications, a powerful technology with immense potential across various business domains. With the rise of Largest Language Models (LLM), numerous innovative applications are emerging, presenting both opportunities and challenges. As businesses embrace this cutting-edge technology, it becomes imperative to understand the development process and implement effective testing strategies to ensure accuracy and an optimal customer experience.

API Generation vs. ELT/ETL | Key Differences

Organizations often grapple with the choice between two distinct but equally vital technologies: API generation and ELT (Extract, Load, Transform) solutions. While both serve as essential tools, they stand at opposite ends of the data management spectrum. API generation focuses on facilitating real-time data access and dynamic communication between software applications, whereas ELT specializes in the consolidation, transformation, and preparation of data for analytics.

Implications of the AI Executive Order for Government Procurement Systems

Artificial intelligence holds the potential to enhance efficiency, streamline processes, and improve decision-making across various government sectors. But without robust safeguards, there is a heightened risk of biased decision-making, privacy breaches, and misuse of sensitive data. The Biden administration’s AI executive order establishes new standards for AI safety and security as well as for responsible use of AI at federal agencies and in state and local governments.

The rise of AI in software testing: trends

AI growing relevance in software testing has garnered substantial attention in today's software industry. While incorporating AI and ML approaches into software testing is not required, it is worthwhile to explore and study how these methods may deliver valuable benefits in specific elements of the testing process. With the incorporation of artificial intelligence (AI) techniques software testing will undergo a transformational transition.

ChatGPT Models: Choosing the Right Fit for Databox Analytics

At Databox, our mission is to help growing businesses leverage their data to make better decisions and improve their performance. We envision a future where every company, no matter the size, can harness its existing data to create more accurate marketing plans, sales goals, budget planning, and more.

Using ChatGPT for Coding

Welcome to Test Case Scenario! In this episode, join our host Jason Baum, and panelists from Sauce Labs as they discuss the report about “Developers Behaving Badly,” what are these so-called bad behaviors, why is this happening, and what are its implications? In this insightful discussion, our host is joined by Evelyn and Titus as they share not only their perspective about these “bad behaviors,” but the possible underlying reasons for it and things we can look forward to in the future of coding and the rise of AI.