Towards AI

FEBRUARY 10, 2025

Their skills ranged from Graphics and UI/UX Design to Full-Stack Web Development and Business Operations. My specialty was data analysis. There were two teams of five data analysts. My claim to fame within the group was playing a key role in accessing the data to drive the app.

UX Design 72

UX Design Python Data Analysis Explainability 72

Topbots

FEBRUARY 4, 2025

Improve explainability by allowing AI decisions to be traced back to logical, rule-based reasoning rather than black-box statistical outputs. How can you decide which knowledge should be encoded with rules ( symbolic AI), and which should be learned dynamically from the data ( neural AI)? Infer missing information (e.g.,

LLM 52

LLM UX Design AI AI 52

Topbots

OCTOBER 10, 2023

After considering the market opportunities and the business value of conversational AI systems, we will explain the additional “machinery” in terms of data, LLM fine-tuning, and conversational design that needs to be set up to make conversations not only possible but also useful and enjoyable. Voice User Interface Design.

Large Language Models 59

Large Language Models Conversational AI UX Design Chatbots 59

Heartbeat

FEBRUARY 29, 2024

Cross-functional teams often include product managers, UX designers, and multiple software engineers. They can explain, answer coding-related questions, and offer guidance on best practices. Clear communication and coordination among these diverse roles can be a significant challenge.

Software Engineer 52

Software Engineer Software Development Large Language Models LLM 52

Topbots

SEPTEMBER 11, 2023

It aims to bring together the perspectives of product managers, UX designers, data scientists, engineers, and other team members. For example, if you are working on a virtual assistant, your UX designers will have to understand prompt engineering to create a natural user flow. The Design of Everyday Things. [4]

UX Design 59

UX Design AI AI Automation 59

Topbots

JUNE 29, 2023

However, as of now, unleashing the full potential of organisational data is often a privilege of a handful of data scientists and analysts. Most employees don’t master the conventional data science toolkit (SQL, Python, R etc.). Accuracy For Text2SQL, the requirements on accuracy are high. References [1] Ken Van Haren.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52