LLM Parameters Demystified: Getting The Best Outputs from Language AI
Blog post from Cohere
The text outlines Cohere's AI product offerings and features, emphasizing its enterprise-ready AI platform "North," designed to enhance workplace productivity. It delves into the functionalities of their language models, such as "Command" and "Aya Expanse," and discusses parameters like temperature, top-k, and top-p that influence model outputs in content generation. The piece also highlights Cohere's focus on customization, industries served, and security measures while encouraging experimentation with language model settings through the Cohere Playground. Lastly, it mentions Cohere's expansion, including a new Paris office and its role in AI adoption for national security.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 10 | 143 | 31 | 15 | +19% |
| AI Model Fine-tuning | 1 | No monthly metrics for this publish month. | |||
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