Short Summary
The video discusses how to pick an enterprise-grade foundation model, particularly focusing on IBM’s Granite Foundation models. It emphasizes evaluating models based on performance, cost-effectiveness, and trustworthiness, highlighting the unique features of the Granite models that set them apart from other large language models (LLMs).
Key Points:
- Overview of the vast number of language models available, particularly highlighting IBM’s Granite models.
- Importance of selecting a foundation model suitable for enterprise deployment.
- Three key metrics for evaluating models:
- Performance: measured by latency and throughput.
- Cost-effectiveness: need for low inferencing costs, especially given high energy consumption for generative AI.
- Trustworthiness: assessed via hallucination scores and transparency in training data.
- The Granite models are open-source, offering broad commercial usage under the Apache 2.0 license.
- Transparency in training data is a key feature—Granite models are trained on reliable data sources, unlike many LLMs that are vague on this front.
- Granite models are designed to be efficient and performant, particularly in coding and language tasks, often outperforming larger counterparts.
- Details on different models within the Granite family:
- Granite for Language: various decoder models with different parameter sizes.
- Granite for Code: trained on multiple programming languages.
- Granite for Time Series: optimized for forecasting in business and industrial domains.
- Granite for Geo-Spatial: a partnership model for Earth observations with NASA.
- Granite models can be applied to various enterprise use cases effectively and efficiently.
Youtube Channel: IBM Technology
Video Published: 2024-09-23T15:00:42+00:00
Video Description:
Download the guide to learn more about what Granite is , →https://ibm.biz/BdK7wZ
Learn more about AI solutions → https://ibm.biz/BdK7wY
Martin Keen discusses the importance of selecting the right large language model (LLM) for enterprise use, highlighting three key metrics: performance, cost-effectiveness, and trustworthiness. He explores the IBM Granite Foundation models, which are designed to meet these requirements, offering transparency, scalability, and efficiency.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK7w2