Local Language Models: A User Perspective
Many users are exploring Local Language Models (LLMs) not because they outperform ChatGPT/GPT4, but to learn about the technology, understand its workings, and personalize its capabilities and features. Users have been able to run several models, learn about tokenizers and embeddings, and experiment with vector databases. They value the freedom and control over the information they seek, without ideological or ethical restrictions imposed by Big Tech.
While ChatGPT and other high capacity models like GPT4 are impressive, they aren't always perfect for every application. Some users express dissatisfaction with the inability to fine-tune these models, create characters or memories, or get them to discuss certain topics. They also value the privacy of running local models that don't send data to large corporations.
Many are excited about the developments in the open-source community, with people using simple laptops solving problems that giants like Google and OpenAI have struggled with. The efficiency and commitment of the community are admirable, as seen in the activity on GitHub for projects like llama.cpp.
The users believe in the potential of LLMs and look forward to the continued growth and innovation in this field. They are not deterred by the current limitations, understanding that the community is in its nascent stages and that progress takes time.
OpenAI, GPT4, ChatGPT, OpenSource, AI, MachineLearning, NLP, BigTech, Privacy, Efficiency