About this video
Ever wondered if you can ditch the cloud and run your code-generating AI locally? This video dives into the world of local large language models for coding! We'll set them up, compare performance, and explore the pros and cons. Key takeaways: * Local LLMs offer potential for privacy and cost savings. * Hardware limitations can significantly impact performance. * Context window size is crucial for effective code generation. * Model quantization can reduce memory footprint but may affect accuracy. * Integrating local LLMs for autocomplete is a promising avenue. LM Studio: https://lmstudio.ai/ Kilo Code: https://kilocode.ai/ Benchmarks from @Thetechchap & @ConstantGeekery