AI Agents with Small CPU-based LLMs with LLMWare (step by step)

Meet SLIMs (Structured Language Instruction Models) - small, specialized, function-calling (1B parameter) LLMs that have been carefully fine-tuned to provide structured outputs that can be handled programmatically. This video will show 6 mini examples of how to use run SLIMs and also introduce the LLMfx class within LLMWare that will help you use these models. SLIMs are designed to be stacked and mixed with other LLMs in a multi-step workflow and can handle the following functions: 1. Sentiment 2. Named Entity Recognition 3. Topic 4. Ratings 5. Emotions 6. Entities 7. SQL 8. Category 9. Natural Language Inference 10. Intent Please subscribe for more content. Also check us out on our open source library on Github and leave a star! https://github.com/llmware-ai/llmware Check out our models on Hugging Face: https://huggingface.co/llmware. Join our Discord: https://discord.gg/qTgHsz6j2f