Search for tag: "llm"

Should You Use Open Source Large Language Models?

Large Language Models (LLMs) can be proprietary to a given company, or open source and free for anyone to access and modify. While proprietary LLMs are often larger, the benefits of transparency,…

From  chq_master_librarians

What is Retrieval-Augmented Generation (RAG)?

Large language models usually give great answers, but because they're limited to the training data used to create the model, over time they can become incomplete--or worse, generate answers that…

From  chq_master_librarians

Tuning Your AI Model to Reduce Hallucinations

You've probably heard a lot about AI hallucination, but is that a permanent flaw with gen AI or can it be diminished or eliminated through prompting techniques? In this video, IBM Distinguished…

From  chq_master_librarians

Experience Report: Multimedia Generation with AI

The power of Generative AI in Large Language Models (LLM) is already a daily tool for writing and summarizing. The future of AI and multimedia will combine data from audio, video and other…

From  chq_master_librarians

How to Build Enterprise-Ready Foundation Models

Building a trustworthy and efficient, high-performing foundation model requires care. IBM’s Kate Soule walks us through each step of the AI pipeline.Learn more →…

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Risk of Large Language Models (LLM)

Large language models (LLMs) like chatGPT can generate authoritative-sounding prose on many topics and domains, they are also prone to just "make stuff up". Literally plausible sounding…

From  chq_master_librarians

Generative Models Explained

Generative AI has stunned the world with its ability to create realistic images, code, and dialogue. Here, IBM expert Kate Soule explains how a popular form of generative AI, large language models,…

From  chq_master_librarians