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cover of episode Real-life LLM Implementation: A Backender’s Perspective

Real-life LLM Implementation: A Backender’s Perspective

2023/12/15
logo of podcast Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

Shownotes Transcript

This story was originally published on HackerNoon at: https://hackernoon.com/real-life-llm-implementation-a-backenders-perspective). In this article, I would like to explore the advantages and disadvantages of various large language models and share thoughts on potential issues Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning). You can also check exclusive content about #llm), #open-source-llm), #open-source-vs-closed-source), #backend-development), #which-llm-is-right-for-you), #pros-of-closed-source-llms), #implementing-llms), #benefits-of-open-sourced-llms), and more.

        This story was written by: [@shcherbanich](https://hackernoon.com/u/shcherbanich)). Learn more about this writer by checking [@shcherbanich's](https://hackernoon.com/about/shcherbanich)) about page,
        and for more stories, please visit [hackernoon.com](https://hackernoon.com)).
        
            
            
            Our modern world is becoming increasingly difficult to imagine without Large Language Models (LLMs). This technology is quickly becoming an essential part of our daily lives, exerting a noticeable influence, including backend development. The impact of LLMs is felt not only in streamlining work processes, such as assisting in code writing.