Teaching a new programming language to an AI model like OpenAI is no small feat. In the realm of Hyperlambda, a language not widely known, the challenge is even greater. When I tried to engage ChatGPT on Hyperlambda, the results were far from satisfactory. The AI struggled to comprehend the syntax, often producing a chaotic mix resembling a mishmash of Bash and Python.
The root of the issue lay in the scarcity of Hyperlambda content available for OpenAI to learn from. This glaring gap spurred me into action. Determined to bridge this knowledge void, I embarked on a mission to fine-tune OpenAI to understand and work with Hyperlambda effectively.
Little did I anticipate the monumental task ahead. To bring OpenAI to a point where it could handle Hyperlambda’s basics accurately, I had to provide it with a staggering 3,500 training snippets and around 550 validation snippets. Each snippet, comprising roughly 20 lines of code, added up to a colossal 80,000 lines of code in total.
The process was intensive, demanding meticulous attention to detail and a deep understanding of Hyperlambda’s intricacies. Every snippet played a crucial role in shaping OpenAI’s comprehension of the language, gradually molding its ability to execute tasks correctly. As the training progressed, I witnessed OpenAI’s evolution, from struggling with the fundamentals to confidently performing routine operations in Hyperlambda.
Through persistence and dedication, OpenAI transformed into a proficient learner of Hyperlambda, showcasing its adaptability and capacity to grasp new programming languages with finesse. This endeavor not only expanded OpenAI’s capabilities but also highlighted the significance of continuous learning and adaptation in the realm of artificial intelligence.
My experience with fine-tuning OpenAI on Hyperlambda underscores the transformative power of training AI models to navigate uncharted territories. As technology continues to advance, the ability to impart new skills and knowledge to AI systems opens up endless possibilities for innovation and growth. By pushing the boundaries of AI capabilities through tailored training, we pave the way for a future where intelligent systems seamlessly integrate diverse programming languages, unlocking a world of untapped potential.