Open vs. closed models: AI leaders from GM, Zoom and IBM weigh trade-offs for enterprise use


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Decide AI models Most of a technical decision and is a strategic one. But it’s all trading to choose from open, closed or hybrid models.

It discussed how modeling and architectural experts, general engines, magnification and IBM companies and customers discuss the AI ​​model selection of companies and customers.

In March, the First GM President Barak Turovsky, Barrow Turovsky, said that every new model release and the leadership board is changing. Leaderboards were a major argument, Turovsky helped to launch the first large language model (LLM) and open source reminded the ways of the AI ​​model weights and training information causing the main progress.

“It was probably one of the greatest progress to help open Openai and others,” Turovsky said. “Thus, in fact, a funny joke: the open source was actually closed and now it helped to create something opened and is now perhaps back to open.”

The factors of decisions are changed and include cost, performance, confidence and security. Turovsky, sometimes enterprises prefers a mixed strategy – an open model for internal use and uses a model with a client or vice versa or vice versa.

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IBM’s AI strategy

Armand Ruiz, the IBM AI platform, IBM initially started its platform your own llmsBut then I realized that it would not be enough – especially when stronger models come to the market. The company was later expanded to offer integrations with similar platforms to choose any open source model of customers. (The company has recently made a new model debut gate This gives enterprises an API to switch between LLS.)

More enterprises choose to buy more models than many vendors. When Andreessen Horowitz survey 100 CIOS said they used 37% of respondents using 5 or more models. Last year, only 29% used the same amount.

The choice is the basis, but sometimes multiple choices are confused, he said. To help with customers’ approach, IBM is not very concerned about what LLM uses during the proof of the concept or pilot phase; The main goal is the possibility. Only then, they begin to look at the bottom of a model or despite one’s adjustment based on the customer’s needs.

“First, all these options are trying to simplify the paralytics of this analysis and are focused on use,” he said. “Then we figure out what is the best way to produce.”

How to grow AI

Zoom’s customers can choose between two configurations for the AI ​​companion, Zoom CTO Xuedong Huang. One covers the company’s own LLM’s Federation with other larger basic models. Another configuration is pleased to use a large number of models to use only an enlargement model to customers. (The company has recently been partnered with Google cloud to adopt an Agent Protocol for an agent for the AI ​​company for the agent for business flows.)

The company made its own small language model (SLM) without using customer information. In 2 billion parameter, LLM is actually very small, but it can still prefer the special models of other industry. SLM works best in complex positions while working along with a larger model.

“This is really a power of a hybrid approach,” Huang said. “Our philosophy is very simple. Our company continues to settle down as Mickey Mouse and the elephant danced together. The small model will perform a very special task. Mickey Mouse and elephant will work together as a team.”



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