open-source LLMs finds its perfect embodiment in the German term "Unternehmergeist," coined by the renowned economist Joseph Schumpeter, often translated as the «entrepreneurial spirit». Schumpeter's theories, dating back to the early 1900s, emphasise that sustained growth arises from innovative ideas, with fresh advancements consistently supplanting outdated technologies.
This notion beautifully captures the dynamic and forward-thinking nature of open-source LLMs. In the constantly evolving field of data science and data engineering, the quest for innovation is a driving force behind significant transformations.
Language Models (LLMs) have emerged as a powerful catalyst in this context, with ChatGPT, the LLM which made LLM a common word, spearheading the movement as a formidable disruptor. However, an even greater revolution is underway: the ascendance of Open-source LLMs, such as Dolly and Llama,revolutionising the field and democratising the potency of Generative AI, empowering data scientists and engineers in unprecedented ways. Democratising AI and Protecting Sensitive Data: While ChatGPT exhibits remarkable power and omniscience, the question arises: do we need omniscience for every specific task? Must a telecom business possess an exhaustive understanding of every Wikipedia entry in order to address a customer's grievance regarding a disrupted internet connection? Likewise, in matters pertaining to confidential health, financial or corporate trade data, can one entrust a remotely hosted LLM such as ChatGPT? Instances have already surfaced where individuals have ingeniously extracted information that ChatGPT has absorbed through deceptive prompts.
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