Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution. The LLM Ecosystem The impact of LLMs extends beyond mere code generation.

Software Engineer 52

Software Engineer Software Development Large Language Models LLM 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. section 2) and a pre-trained LLM.

Large Language Models 59

Large Language Models Conversational AI UX Design Chatbots 59

Topbots

FEBRUARY 4, 2025

Navigating the LLM triad While predictive models trained from scratch can excel at very specific tasks, they are also rigid and will refuse to perform any other task. For example, an LLM-based conversational widget in an SCO system can allow users to interact with real-time insights using natural language.

LLM 52

LLM UX Design AI AI 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. And finally, be open to surprises.

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.). Another approach is to incorporate structural and SQL knowledge directly into the LLM.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52

AWS Machine Learning Blog

FEBRUARY 3, 2025

Not only are large language models (LLMs) capable of answering a users question based on the transcript of the file, they are also capable of identifying the timestamp (or timestamps) of the transcript during which the answer was discussed. The file is sent to Amazon Transcribe and the resulting transcript is stored in Amazon S3.

UX Design 93

UX Design Auto-complete LLM Prompt Engineering 93