Hello, World! Meet Language AI: Part 2
Blog post from Cohere
The second part of a two-part series aimed at developers with limited AI experience, this article delves into language AI using Cohere's Large Language Model (LLM) API. It explores text classification and analysis, focusing on how LLMs can classify texts into categories like positive, negative, or neutral sentiments, and how they can transform text into vector embeddings for semantic search and exploration. The article provides practical examples and code snippets, demonstrating the application of AI for tasks such as sentiment analysis and semantic search. Developers are encouraged to experiment with these AI capabilities to enhance their projects and explore new applications in language processing.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 23 | 244 | 57 | 38 | +59% |
| LLM | 8 | 177 | 47 | 20 | +36% |
| AI Model Fine-tuning | 1 | 43 | 23 | 19 | -19% |
| Serverless | 1 | 818 | 121 | 66 | +16% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.