AWS Machine Learning

NOVEMBER 7, 2023

However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG). This synergy enables more accurate topic modeling, content recommendation, and semantic search capabilities.

Data 102

Data Comparison Guidelines Training 102

CSM Magazine

APRIL 4, 2023

They shared their rich expertise and experience in powering guided experiences through structured content and semantic AI. Without a doubt, this has a cascading effect and adversely impacts the customer experience as employees are unable to promptly serve them with the right information.

Government 52

Government Technology Chatbots Feedback 52

AWS Machine Learning

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. Clean data is important for good model performance.

Data 79

Data Knowledge Base Policies Training 79

AWS Machine Learning

APRIL 25, 2024

By creating condensed versions of long, complex documents, summarization technology enables users to focus on the most salient content. The transformative power of advanced summarization capabilities will only continue growing as more industries adopt artificial intelligence (AI) to harness overflowing information streams.

Effort Score 117

Effort Score Metrics Comparison System 117

Lumoa

MAY 16, 2024

We’re tackling a complex yet crucial topic in machine learning and AI development. It’s an innovative approach that’s changing the game in data science and AI development. It’s an innovative approach that’s changing the game in data science and AI development. And our goal?

Tools 208

Tools Banking Software Data 208

AWS Machine Learning

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. The company is committed to ethical and responsible AI development, with human oversight and transparency. Conversational AI assistants are rapidly transforming customer and employee support.

Insurance 121

Insurance Knowledge Base Effort Score Video 121

AWS Machine Learning

MAY 7, 2024

Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. Rather than requiring extensive feature engineering and dataset labeling, LLMs can be fine-tuned on small amounts of domain-specific data to quickly adapt to new use cases.

System 104

System Examples Policies Training 104