Are local LLM models already sufficient as assistance in programming?

In the article 'Running Local Models is Good Now', Vicki Boykis discusses the shift in approach to building and running AI models locally. This approach offers several advantages, including greater data control, reduced privacy risks, and safer technology usage. Boykis emphasizes that with the emergence of tools and frameworks like Hugging Face and PyTorch, developing models locally has become more accessible for developers and researchers. Additionally, the ability to customize models for specific needs and conditions significantly enhances their effectiveness. From the perspective of freedom and independence, running models locally can lead to a more responsible use of AI technology across various fields in life.